| "Building UI Automation Test Frameworks on Selenium WebDriver" |
| "Do you have a bunch of test scripts that break down whenever you look at them? Is adding new test scripts a chore? Is introducing changes to your test code painful, dangerous, and potentially showstopping? If you answered ""Yes"" to at least one of these, you're in sore need of building a test framework. In this video course, you will be trained to develop frameworks efficiently. You will learn how to structure your framework so that it remains maintainable and avoid collecting the unnecessary technical debt. You will learn to pay attention to the important aspects of framework development, and master quite a few important software design principles that will remain applicable throughout most roles in the IT industry. By the end of the course, you'll have developed an efficient test framework that will make test implementation and maintenance a breeze and will have learned to use supplementary tools and libraries to enhance the usefulness of Selenium WebDriver. About the AuthorStanislav Fedii is a Test Automation Engineer/SDET/Team Lead, experienced in UI and API test automation, SDLC and CI process setup, and team management. Overall, he has 10+ years' experience. He has led training courses for manual test engineers to increase their Java and Selenium WebDriver skills. Currently, he is working as a senior test automation engineer at Dailymotion."
Price: 124.99 |
| "PowerShell Core Recipes" |
| "GUIs are nice but not after the 50th mouse click!In this course on PowerShell Core, you'll learn how to leverage Microsoft's scripting language to automate many mundane tasks that have been taking you way too long to do.We'll cover lots of common scenarios such as scraping web pages, managing remote systems (both Windows and Linux), managing files, and a whole lot more. In this course, each video is designed to help you with a specific task.You'll get a wide variety of real-world solutions to real-world problems, all of which (and more) can be solved with PowerShell Core.About the Author : TechSnips LLC is an IT career development platform that provides free learning content to people in information technology (IT). We provide short, 1-10 minute screencasts or snips on a range of technology-related topics such as cloud computing, programming, system administration, and a whole lot more.All of the content we publish is built by IT professionals, system administrators, DevOps engineers, software developers . . . You name it! All content is created by people in the trenches performing this work day in and day out. We have no professional trainers here. Our experts are hand-picked, coached, and mentored along the way, resulting in high-quality learning content.We like to call ourselves an IT career development platform rather than an e-learning platform because our service provides career development benefits to both contributors (those creating the content) and to subscribers (those consuming the content). We help people on both sides of the divide become better at their careers."
Price: 124.99 |
| "DevOps with Azure in Practice!" |
| "You might have come across slow development cycles due to traditional infrastructure management processes. DevOps project gives you provision on your Azure resources: Application Insights integration, Git Code Repository, and a setup to provide a continuous delivery pipeline. The project helps to deploy applications, add test environment to validate your production, manage the code flow and high quality. Moreover, monitor your progress with proper tracking of the project backlog and other applications. If youre looking to automate your operations to deliver reliable code & software faster with Azure DevOps then is the perfect Course for you!This comprehensive 2-in-1 course takes a step-by-step practical approach to automating builds and delivering software more reliably with DevOps projects on Azure. Initially, youll acquire a deeper insight into implementing DevOps. Youll understand how containerization technologies work as well as execute tests across your applications with continuous integration. Moving further, youll work with DevOps for modern-day application lifecycle management and automate your apps on the Azure Cloud platform. Finally, youll configure a full CI/CD pipeline for any Azure app using the language and app framework you want.Towards the end of this course, you'll automate your operations with Azure DevOps to deliver software faster and more reliably with DevOps projects on Azure.Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, DevOps Fundamentals with Azure, covers learning to automate builds to deploy and deliver code faster and more often. This course will show you how to speed up the release cycle of your IT systems. With a set of automation tools, an orchestration platform, and a few processes, you will do more with fewer resources and become more engaged in the business process. Exploring Azure, youll learn various solution architectures with continuous integration and continuous deployment pipeline that push your changes automatically to the cloud, allowing you to deliver value faster to your customers.The second course, Hands-On DevOps on Azure, covers delivering software faster and more reliably with DevOps projects on Azure. In this course, you will delve into the DevOps support on Microsoft Azure and investigate about the teams that can migrate their existing DevOps solutions to Microsoft Azure, using Azure DevOps project. By the end of this course, you will be an expert in testing, deploying, and monitoring your applications with Azure.Towards the end of this course, you'll automate your operations with Azure DevOps to deliver software faster and more reliably with DevOps projects on Azure.About the AuthorsDavid Gonzalez is an enthusiastic engineer and author of a book called Developing Microservices with Node.js (microservices don't work without platform automation). He is a Google Developer Expert (a nomination from Google to certain experts in several areas) in Kubernetes (GKE), who enjoys being pushed out of his comfort zone in order to sharpen his skills. Java, Node.js, Python, and DevOpsas well as a holistic approach to securityare part of the skill set that has helped him deliver value across different start-ups and corporations. Nowadays, he is a consultant at nearForm, enabling companies to deliver the best possible solution to their IT problems or proposals, as well as an avid speaker at conferences such as Rebel Con and Google I/O Extended, among others.Afzaal Ahmad Zeeshan is a computer programmer from Rabwah, Pakistan, and likes .NET Core for regular everyday development. He is an expert with Cloud, Mobile, and API development. Afzaal has experience with the Azure platform and likes to build cross-platform libraries/software with .NET Core. Twice he has been awarded Microsoft MVP status for his work in the field of software development, twice CodeProject MVP status for technical writing and mentoring, and 3 times C# Corner MVP status in the same field.Iqra Ali is a software engineer at MIXIT-Technologies USA and an author at CodeProject and CSharpCorner, and she is from Karachi, Pakistan. She spends most of her time contributing to open source world and authoring technical articles. Iqra is an expert .NET developer and has worked on several .NET and DevOps related projects in her professional career. In her spare time, she spends time contributing on CSharpCorner and other alike platforms, helping others in the open communities."
Price: 199.99 |
| "Containerize Your Applications in the Kubernetes Way" |
| "Kubernetes is a powerful tool developed by Google for managing containerized applications in a clustered environment. Kubernetes helps you automate, deploy, scale, and manage containerized applications. It gives you the freedom to take advantage of on-premise cloud infrastructures. It also helps you write better cloud-native applications. Kubernetes is a core tool in DevOps; it gives you the ability to schedule and manage containers (Docker or otherwise) at scale. If youre looking to containerize your applications in the Kubernetes Way then this Course is perfect for you!This comprehensive 3-in-1 Course is a fast-paced guide offering hands-on and practical guidance with step-by-step instructions and assignments to Containerize Your Applications in the Kubernetes Way! Youll initially get up and running with fundamentals of Kubernetes and container orchestration. You'll build your own container cluster and manage it as well as secure the cluster and handle service discovery. Moving further, you'll dive into the Kubernetes architecture, components and services to build a production-class container infrastructure. Finally, youll write cloud-native applications, test, monitor and deploy your application on the cloud (GCP) using Kubernetes.By the end of this course, you'll containerize your applications to build a production-class container infrastructure in the Kubernetes way.Contents and OverviewThis training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Kubernetes in 7 Days, covers managing applications in a productionised Kubernetes. This course will help you to unravel the potential of Kubernetes in the shortest amount of time. You will begin by creating your first Kubernetes cluster using Minikube. Then move on to exploring Kubernetes in some more detail and build a complex cluster. By the 4th Day, you will learn to enhance your cluster with a Grafana based monitoring dashboard in your application. Once youve acquired knowledge on dashboards, explore how a Kubernetes cluster provisions storage to its applications and learn how to secure them. Finally, learn to create a CI/CD pipeline to build and deploy your applications.The second course, Containerization the Kubernetes Way, covers developing, running, and deploying your containerized applications using Kubernetes. You'll learn how to deploy Kubernetes on several cloud platforms. Further, you'll learn to package your code to run in Kubernetes. You'll dive into the Kubernetes architecture and components and explore how they come together to build a production-class container infrastructure. Later you will learn to work with pods, deployments, and services. By the end of this course, youd have gained the required skills to deploy a Kubernetes cluster and a simple application in a development ecosystem.The third course, Kubernetes for Developers, covers writing cloud-native applications that can run anywhere with the power of Kubernetes. This course will give you detailed instructions, real-world examples, and helpful advice. We will begin by learning to set up the development environment on your local machine. Then move on to package your code into Kubernetes, and manage container lifecycles. Once you get a grip on understanding the RBAC Authorization, very easily explore the monitoring techniques with Prometheus and troubleshoot your service account. Finally, you will learn to create a cluster in your Google Cloud Environment and deploy your application in production. By the end of this video, you will develop, run, test, and deploy your application in the cloud, utilizing the power of Kubernetes to its full potential.By the end of this course, you'll containerize your applications to build a production-class container infrastructure in the Kubernetes way.About the AuthorsDes Drury is a passionate technologist with many years' experience in all aspects of data center infrastructure, automation, programming languages, and developer workflows. He is: - Co-organizer of the Melbourne Kubernetes Meetup - Author of Open Datacenter, a Kubernetes distribution with numerous datacenter workloads; - A Kubernetes evangelist from the early days of its release; - Passionate about helping teams to understand complex technology - Teaches the skills required for team members to solve their own problems - An excellent communicator and enjoys helping people, passing on knowledge, and improving processes He has also built numerous tools that have been adopted as enterprise solutions and has received a number of awards.Braithe E.S. Warnock is currently a Managing Cloud Architect for the Financial Services division of Ernst & Young. He has had the opportunity to work with several of the largest PCF installations on an international scale. He helped build the framework for the adoption of PCF at top companies such as Ford, Comcast, DISH, HSBC, and Charles Schwab. As a vendor-neutral consultant, Braithe enjoys helping people understand the rapidly-evolving world of cloud and application architectures. Braithe has more than six years' experience and specialization in global digital transformations. He has expertise in various cloud and cloud platform technologies (PCF, AWS, Azure, VMware, Netflix OSS, Kubernetes, and OpenShift) and also the Java and Spring Boot frameworks. He has developed over 100 microservices using Spring Boot, Java 7/8, Spring Cloud, and Netflix OSS, spanning half a dozen unique cloud-native microservice architectures. He also has experience in developing machine learning models using AWS, Spark, and MLlib to support product recommendations and enhance customer data.Jan Stomphorst is a senior solution architect with more than 20 years' experience in the automation industry; he creates the best solutions for his customers. He uses advanced technical solutions to help developers create stable continuous pipelines and develop systems for 100% uptime. He is a Docker and Kubernetes expert. He supports several customers with on-premise and in-the-cloud Kubernetes strategies."
Price: 199.99 |
| "Hands-On Data Structures and Algorithms in Java 11" |
| "Programs are created from algorithms and data structures. Mastering these is an essential part of your development as a Java programmer. They are the main building blocks for each architectural pattern. Many tutorials treat data structures & algorithms as theoretical computer science topics. This course relates every technique back to real-world problems and situations you will face working as a programmer. The vision of the course is to get you acquainted with the core and advanced data structures and algorithms used for day-to-day applications. Youll see how they work and how to use them effectively in your own programs. This course will be full of step-by-step instructions, revealing examples, and clear explanations that will help you understand the practical application of each algorithm with scenario trade-offs. Youll learn to use querying binary search trees. The course will take you through heapsort, quicksort, recursion, and tail recursion algorithms. Youll get familiar with multithreading and probabilistic algorithms. Youll also understand the importance of advanced data structures and graph algorithms. This course will help you to gain in-demand knowledge of key data structures and algorithms and prepare you for the next stage in your career as a developer.All the code and supporting files for this course are available on GitHub.About the AuthorDr. Edward Lavieri is a veteran developer with a strong academic background. He has earned a doctorate in computer science from Colorado Technical University, an MS in management information systems (Bowie State University), an MS in education (Capella University), and an MS in operations management (University of Arkansas).He has been creating and teaching computer science courses since 2002. Edward retired from the US Navy as a Command Master Chief after 25 years of active service. As the founder and creative director of three19, a software design and development studio. Edward is constantly designing and developing software.He has authored several computer science books including Mastering balance of software development, Java expertise, and academic experience, making him ideally suited to teach this course Java 9, Mastering Java 11, and the upcoming Hands-On Design Patterns with Java 11."
Price: 124.99 |
| "Practical Projects with Vue JS 2" |
| "Do you want to get started with Vue.js, and get beyond an average To-Do app? This video course will walk you through three complete practical projects in Vue.js that show the breadth of the framework, and also show how it is used practically via real-world examples. It fills a void not met by reference guides or cookbooks, but adds value to both of those resources. You will not only understand how to use the framework, but also which choices were made, and why. These projects will act as jumping off points for you in your own projects.About the Author :Jack Herrington is a Principal Software Engineer at Nike working. He works in React, Vue, and AngularJS and has presented to a wide set of audiences on a variety of web technologies. He has written six books and hundreds of articles covering both the front- and back-end. Before Nike he was the UI Architect at Walmart Labs."
Price: 124.99 |
| "Machine Learning & Deep Learning with TensorFlow" |
| "TensorFlow is quickly becoming the technology of choice for machine learning and deep learning, because of its ease to develop intelligent machine learning applications and powerful neural networks. If you're a data professional who wants to use TensorFlow for performing machine learning and deep learning activities on a day-to-day basis, then go for this course.This course gives you a clear understanding of machine learning models and the application of models at scale using clustering, classification, regression, and reinforcement learning, all with interesting examples and real-world use cases. You will then delve into deep learning with TensorFlow to gain the skills required to implement your own neural networks and apply them to the real world. You will also explore deep neural networks for different problems and the applications of Convolutional Neural Networks on two real datasets. Next, you will learn some of the important techniques to implement generative adversarial networks. Finally, you will learn to tackle any problems related to time series using RNN. This course is a perfect blend of concepts and practical examples which makes it easy to understand and implement. It follows a logical flow where you will be able to develop efficient and intelligent applications based on your understanding of the different machine learning and deep learning concepts with every section.Contents and OverviewThis training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Hands-on Machine Learning with TensorFlow, focuses on key machine learning techniques and algorithms and you'll apply them practically using TensorFlow models in a hands-on approach. Each section covers a specific machine learning task and you will implement it on your system with TensorFlow models. For example, you will learn Logistic Regression and will then implement it with TensorFlow for your analysis tasks. You'll implement techniques such as classification and clustering effectively using TensorFlow. Similarly, this course takes you through different ML tasks/algorithms and teaches you to implement them in your applications/systems.In the second course, Getting Started with TensorFlow for Deep Learning, you will be equipped with the skills to implement your own neural networks and apply them to the real world. You will use TensorFlow, an efficient Python library used to create and train your neural networks. You will then build up to more advanced networks. You'll learn to utilize a Convolutional Neural Network to classify images of handwritten text and then take your CNN further to perform object detection and localization in an image.The third course, Hands-on Deep Learning with TensorFlow, begins with a quick introduction to TensorFlow essentials. You will then start with deep neural networks for different problems and explore the applications of Convolutional Neural Networks on two real datasets. If youre facing time series problem then we will show you how to tackle it using RNN. You will also learn how autoencoders can be used for efficient data representation. Next, you will be glanced through some of the important techniques to implement generative adversarial networks. All these modules are developed with step by step TensorFlow implementation with the help of real examples.By the end of this course, you will be able to build powerful machine learning and deep learning applications using TensorFlow.Meet Your Expert(s):We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:Kaiser Hamid Rabbi is an aspiring Data Scientist who is super-passionate about Artificial Intelligence, Machine Learning, and Data Science. Over the last four years, he has entirely devoted himself to learning more about data science technologies such as Python, Machine Learning, Deep Learning, Artificial Intelligence, data mining, data analysis, recommender systems, and so on. Kaiser also has a huge interest in Lygometry (things we know we do not know!) and always tries to understand Domain Knowledge from his projects as far as possible.Colibri Digital is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, machine learning, and cloud computing. Over the past few years, they have worked with some of the world's largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the World's most popular soft drinks companies, helping each of them to make better sense of its data and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action. Tom Joy is studying for a PhD at the University of Oxford in the field of Semantic SLAM, which is the process of simultaneously localizing a robot in space; producing a map/understanding of the surrounding area whilst also detecting and delineating objects in 3D space. Achieving this requires a high level of competency in computer vision, machine learning, and optimization. Tom has extensive experience in computer vision and machine learning, having taken several internships and placements over the course of his degree and spent time in industry prior to starting his PhD. He is a big advocate of explaining concepts simply and in a clear and concise manner; he strives to obtain and provide a comprehensive understanding of all relevant methods to the task at hand.Salil Vishnu Kapur is a Data Science Researcher at the Institute for Big Data Analytics, Dalhousie University. He is extremely passionate about Machine Learning, Deep Learning, Data mining and Big Data Analytics. Currently working as a Researcher at Deep Vision and prior to that worked as a Senior Analyst at Capgemini for around 3 years with these technologies. Prior to that Salil was an intern at IIT Bombay through the FOSSEE Python TextBook Companion Project and presently with the Department of Fisheries and Transport Canada through Dalhousie University."
Price: 199.99 |
| "Python Machine Learning: From Techniques to Troubleshooting" |
| "Machine Learning is no longer the inaccessible domain it used to be. There are over 100,000 Python libraries you can download in one line of code! Machine learning allows us to interpret data structures and fit that data into models to identify patterns and make predictions. Python makes this easier with its huge set of libraries that can be easily used for Machine Learning. If youre looking to use Machine Learning to make your Python apps smarter & build efficient, progressive models to tackle real-world data then this Course is perfect for you!This comprehensive 4-in-1 course is an A+ guide to transforming your simple Machine Learning model into a cutting edge powerful version with Python. Youll initially learn about supervised learning: how to classify data points and predict future numbers. Youll build efficient, faster, and progressive machine learning models to tackle real data. Moving further, youll read, explore, clean, and prepare your data using Pandas, the most popular library for analyzing data tables. Youll troubleshoot advanced models such as Random Forests and SVMs. Finally, youll visualize your decision trees and perform common natural language processing featuring engineering tasks.By the end of this course, you'll build efficient, faster, and progressive machine learning models to tackle real data. Master the most popular Machine Learning tools by building your own models to tackle real-world problems.Contents and OverviewThis training program includes 4 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Getting Started with Machine Learning in Python, covers using Machine Learning to classify objects, predict future prices, and automatically learn fixes to problems. You will learn to understand and estimate the value of your dataset. We guide you through creating the best performance metric for your task at hand, and how that takes you to the correct model to solve your problem. Understand how to clean data for your application, and how to recognize which Machine Learning task you are dealing with.The second course, Python Machine Learning Tips, Tricks, and Techniques, covers transforming your simple machine learning model into a cutting edge powerful version. In this course, you will get hands-on experience of solving real problems by implementing cutting-edge techniques to significantly boost your Python Machine Learning skills and, as a consequence, achieve optimized results in almost any project you are working on. By the end of this course, you will know various tips, tricks, and techniques to upgrade your machine learning algorithms to reduce common problems, all the while building efficient machine learning models.The third course, Building Predictive Models with Machine Learning and Python, covers mastering the most popular Machine Learning tools by building your own models to tackle real-world problems. This course will guide you through the tools in the Python ecosystem that Data Scientists use to get results in a matter of hours - and with practice - in a matter of minutes. The best way to learn is through examples, and this course will guide you through all the steps needed to train and test your models by tackling several classifications and regression challenges. By the end of the course, you will be able to take the Python Machine Learning toolkit we cover and apply it to your own projects to deploy models in just a few lines of code.The fourth course, Troubleshooting Python Machine Learning, covers practical and unique solutions to common Machine Learning problems that you face. We have systematically researched common ML problems documented online around data wrangling, debugging models such as Random Forests and SVMs, and visualizing tricky results. We have collated for you the top issues, such as retrieving the most important regression features and explaining your results after clustering, and their corresponding solutions. We present these case studies in a problem-solution format, making it very easy for you to incorporate this into your knowledge. Taking this course will help you to precisely debug your models and research pipelines, so you can focus on pitching new ideas and not fixing old bugs.By the end of this course, you'll build efficient, faster, and progressive machine learning models to tackle real data. Master the most popular Machine Learning tools by building your own models to tackle real-world problems.About the AuthorsRudy Lai is the founder of QuantCopy, a sales acceleration startup using AI to write sales emails to prospects. By taking in leads from your pipelines, QuantCopy researches them online and generates sales emails from that data. It also has a suite of email automation tools to schedule, send, and track email performance - key analytics that all feedback into how our AI generates content.Valeriy Babushkin has done an M. Sc. and has 5+ years' experience in industrial data science and academia. He is a Kaggle competition master and a 2018 IEEE SP Cup finalist. He has been a Data Science Team Lead at Yandex (the largest search engine in Russia; it outperforms Google) and runs an online taxi service (he acquired Uber in Russia and 15 other countries) and the biggest e-commerce platform in Russia. He was also a Head of Data Science at Moneta. Monetha is creating a universal, transferable, immutable trust, and reputation system combined with a payment solution. Finally, he is decentralized and empowered by the Ethereum Blockchain."
Price: 199.99 |
| "The Complete Developers Guide to Blockchain" |
| "Blockchain is a distributed database that enables permanent, transparent, and secure storage of data. Cryptocurrency is a digital currency which can be used to transfer assets from person to person in a decentralized way. If you want to have a perfect entry in the world of decentralized databases and applications by learning about Blockchain and cryptocurrency, then go for this course.This comprehensive 2-in-1 course teaches you everything you need to know about Blockchain, cryptocurrencies, and its platforms. Each and every concept is covered in a detailed manner explaining you the topics such as Bitcoin, Ethereum, Hyperledger, Ripple, Litecoin, Bitcoin Trading, Mining, and ICO along with its working / implementation. You will firstly create a mock blockchain using JavaScript code. You will then write smart contracts with Solidity and implement it on various blockchain platforms. You will also learn how to build ethereum and blockchain-based applications and secure them using the cryptography techniques. Lastly, you will create a gambling application using ETH network smart contracts.Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.In the first course, Blockchain Development for Beginners, you will begin with a brief introduction to what blockchain technology is and the potential this technology has to change the world around us. You will then dive into seeing how the blockchain functions by creating a mock blockchain using JavaScript code. Next, you will learn the Solidity coding language which is essential for developing blockchain dApps and use your Solidity skills to conduct token generation. Finally you will use both Solidity and JavaScript skills to compile and deploy a smart contract, which will then be followed by developing an interactive front-end for it.In the second course, Blockchain Real World Projects, you will begin with the development of a basic application using Blockchain and mining blocks. You will then build the Bitcoin codebase and your own currency/tamper-proof DB. Using Hyperledger, you will also implement various blockchains to create a supply chain application. Next, you will explore ERC20 standards to create an ERC20 smart contract and you will learn to improve its standards with ERC22 to develop first ICO. Finally, you will create a gambling application using ETH network smart contracts. Each project will teach you just enough about blockchain to be productive right away.By the end of this course, you will not only be able to tackle common issues in the blockchain ecosystem but you will also be able to design and build you own ethereum and blockchain-based applications.Meet Your Expert(s):We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth: Daniel Wise has worked in various career paths both domestic and abroad, and since then he focused on the tech field. He began his journey learning programming on Treehouse while he lived abroad in Busan, South Korea. His interest in tech began to grow after being accepted into the Flatiron School and returned to the USA to pursue this new career. He has gained experience in the tech field not just on the development side but on the business side as well. His experience and hard work running an indie game studio (known as Ultima Game Studios) paid off when their game demo was chosen to be exhibited at PAX East 2017. This experience in the gaming industry allowed him to utilize his talents in both development and marketing. Currently he is a busy freelancer, handling projects in Unity development and also writing technical lessons to share his knowledge online. He believes that it is his duty to help others learn about tech/coding while creating projects and learning new things himself. He also assesses promotional ideas and strategies for those looking to promote their businesses online.Sriharsha Bingi is currently pursuing his masters in computer science at New Jersey Institute of technology, NJ. Being a philomath, he has been into cryptocurrencies, investments, and data science since 3 years. He did his schooling in India and Oman. His passion towards cryptocurrencies grew from the year 2016. That interest started multiplying ever since he got awestruck by the amount of research big companies are doing and spending money on it, in the year 2017. That is when he realized that the blockchain technology is going to revolutionize the world. Technology has to evolve continuously says harsha. At present he is working in world financial center, Manhattan, New York as a blockchain developer. In the road of constantly honing his skills in blockchain technology he wants to share his knowledge with us. As the need for blockchain developers is exponentially increasing the people who are actually trained to develop are still less. He has developed a functional demo using blockchain technology for BdiPlus company in world financial center, Manhattan and now he would like to share his experience and knowledge with us."
Price: 199.99 |
| "Learn Blockchain: Build Applications with Hyperledger" |
| "The Blockchain is a revolution promising a new world without middlemen. While building enterprise-grade Blockchain applications to serve a large set of customers you need to think about whether your application complies with data protection regulations. The Blockchain is a distributed database that enables permanent, transparent, and secure storage of data. Blockchain technology uses cryptography to keep data secure. Using the Hyperledger framework you can build permission applications with better performance, scalability, and trust. This will not only give you full control of data being shared with other parties but also brings in a higher level of security. This course will provide you with all the relevant concepts related to cryptocurrencies, smart contracts, and blockchain in order to build your own decentralized applications.This comprehensive 2-in-1 course is a practical and easy-to-follow guide to learn Ethereum, Hyperledger, and more from to build your own scalable, distributed Blockchain applications. Youll initially get started with Blockchain to build decentralized applications using Bitcoin, Ethereum, and Hyperledger. Youll build your own cryptocurrency payment app as well as Web3 DApps and supply chain systems using Hyperledger. Moving further, youll extend your network to host multiple peers on separate computers. Finally, youll secure the network by implementing OAuth, implementing the Fabric Certificate Authority, and setting up your network on Kubernetes.Towards the end of this course, you'll build your own scalable, distributed Blockchain apps. Learn Ethereum, Hyperledger, and more from practical hands-on examples.Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Blockchain Real-World Projects, covers building your own scalable, distributed Blockchain apps. You will begin with the development of a basic application using Blockchain and mining blocks. Moving further, you will build the Bitcoin codebase and you will be able to build your own currency/tamper-proof DB. Using Hyperledger you will implement various blockchains to create a supply chain application. You will explore ERC20 standards to create an ERC20 smart contract and you will also learn to improve its standards with ERC22 to develop its first ICO. Lastly, you will create a gambling application using ETH network smart contracts. Each project will teach you just enough about blockchain to be productive right away. By the end of this course, you will not only be able to tackle common issues in the blockchain ecosystem but you'll also design and build reliable, scalable, distributed systems.The second course, Hyperledger for Blockchain Applications, covers build Blockchain projects which establish trust, security, and transparency using Hyperledger. This course will teach you all the basics of Hyperledger Fabric technology so that you can use it in your Enterprise grade projects with better understanding & clarity. You will learn about Hyperledger Fabric, how it is different from technologies like Bitcoin, Ethereum & related cryptocurrencies. Architecture and components of Hyperledger Fabric & how this works in applications. You will be building a legal land registration application with Hyperledger Fabric which caters to a large set of customers and also can be used by large enterprises for a non-financial project. Evaluate if a business application will benefit from the adoption of Distributed Ledger Technology. By the end of this course you will be confident in building your own fault-tolerant, high performance, secure business related applications using Hyperledger Fabric and Compose framework on Blockchain technology.Towards the end of this course, you'll build your own scalable, distributed Blockchain apps. Learn Ethereum, Hyperledger, and more from practical hands-on examples.About the AuthorsSriharsha Bingi is currently pursuing his masters in computer science at New Jersey Institute of Technology, NJ. Being a Philomath, he has been into cryptocurrencies, investments, and data science for 3 years. He did his schooling in India and Oman. His passion towards cryptocurrencies grew from the year 2016. That interest started multiplying ever since he got awestruck by the amount of research big companies are doing and spending money on it, in the year 2017. That is when he realized that the blockchain technology is going to revolutionize the world. Technology has to evolve continuously says Harsha. At present, he is working in the world financial center, Manhattan, New York as a blockchain developer. In the road of constantly honing his skills in blockchain technology, he wants to share his knowledge with us. As the need for blockchain developers is exponentially increasing the people who are actually trained to develop are still less. He has developed a functional demo using blockchain technology for BdiPlus company in world financial center, Manhattan and now he would like to share his experience and knowledge with us.Alejandro Vicente Grabovetsky is CTO and Chief Data Scientist at AID: Tech, and uses Blockchain to bring social and financial Inclusion to the world's undocumented and underserved. Sasha got his BA and Ph.D. at the University of Cambridge and worked as a Cognitive Neuroscience PostDoc at the Donders Institute in the Netherlands before lighting his entrepreneurial spark in 2014. He has worked on Machine Learning and AI during both his scientific life and at his previous healthcare-focused startup Avalon AI, which went through acclaimed accelerators such as Entrepreneur First and TechStars. Currently, his favorite toys are Hyperledger Fabric/Composer, Kubernetes/Helm, and Keras/Tensorflow."
Price: 199.99 |
| "Intelligent Mobile Application Development with TensorFlow" |
| "TensorFlow is one of the most popular deep learning frameworks available and can be used for solving real-world applications such as analyzing images, generating data, natural language processing, intelligent chatbots, robotics, and more. If youre looking forward to building and deploying Machine Learning models on your mobile device with TensorFlow & TensorFlow Lite, then this is the perfect Course for you! This comprehensive 2-in-1 course is a practical, fast-paced guide to building smart mobile applications by applying Machine Learning features using TensorFlow & TensorFlow Lite. Youll begin with learning the art of building models using pre-built models and scripts. Youll use Artificial Intelligence in your models to build your first smart iOS/Android application. Moving further, youll gain practical knowledge by coding TensorFlow models and solve real-life problems such as gesture or voice recognition. Finally, youll create efficient Deep Learning models for your mobile apps and deploy TensorFlow models on mobile devices.By the end of this course, you'll use TensorFlow to build mobile apps and add features to make your apps smarter. Apply Machine Learning models in real-time in mobile devices with the new and powerful TensorFlow Lite.Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Hands-On TensorFlow for Smart Application Development, covers TensorFlow to build mobile apps and add features to make your apps smarter. This course will show you how to develop smart applications the easy way using the power of TensorFlow and add intelligent features to make your applications smarter without delving into deep learning. You will begin by setting up the environment required to get started quickly followed by building and deploying your first machine model. Next, you will use TensorFlow Lite, which is well optimized for on-device machine learning. As we proceed further, youll get hands-on practice in building applications on different platforms such as iOS and Android. Lastly, you will get some crucial tips on how to make your existing applications smarter. By the end of the course, youll not only be comfortable with using TensorFlow for building applications but will also be able to integrate the power of artificial intelligence in your mobile apps.The second course, Hands-on TensorFlow Lite for Intelligent Mobile Apps, covers applying Machine Learning models in real-time in mobile devices with the new and powerful TensorFlow Lite. You will learn to implement smart data-intensive behavior, fast, predictive algorithms, and efficient networking capabilities with TensorFlow Lite. You will master the TensorFlow Lite Converter, which converts models to the TensorFlow Lite file format. This course will teach you how to solve real-life problems related to Artificial Intelligencesuch as image, text, and voice recognitionby developing models in TensorFlow to make your applications really smart. You will understand what Machine Learning can do for you and your mobile applications in the most efficient way. With the capabilities of TensorFlow Lite, you will learn to improve the performance of your mobile application and make it smart. By the end of the course, you will have learned to implement AI in your mobile applications with TensorFlow.By the end of this course, you'll use TensorFlow to build mobile apps and add features to make your apps smarter. Apply Machine Learning models in real-time in mobile devices with the new and powerful TensorFlow Lite.About the AuthorsSaikat Basak is currently working as a machine learning engineer at Kepler Lab, the research & development wing of SapientRazorfish, India. His work at Kepler involves problem-solving using machine learning, researching and building deep learning models. Saikat is extremely passionate about Artificial intelligence becoming a reality and hopes to be one of the architects of its future.Juan Miguel Valverde Martinez is a Deep Learning, Computer Vision and Tensorflow enthusiast, with an MSc in IT and Cognition from the University of Copenhagen. His main interests are Computer Vision and Medical Image Analysis, and he has recently been more interested in Adversarial Training and Natural Language Processing. In his free time, he likes to read papers and research. In addition to Computer Science, he also enjoys learning languages and cooking, especially the Mediterranean and Asian dishes."
Price: 199.99 |
| "Rust: Building Reusable Code with Rust from Scratch" |
| "Rust is a systems programming language with a focus on safety, especially safe concurrency, supporting both functional and imperative paradigms, syntactically similar to C++, but its designers intend it to provide better memory safety while still maintaining performance. With this hands-on, practical course, youll begin from scratch by getting familiar with the basic syntax and concepts of Rust, defining functions and creating variables & much more. Then you'll learn to test your code by building a simple crate with a tested, usable, well-documented API using Cargo & RustDoc. Next, you will work with different forms of code reuse, loops, map, filter and fold to save time and resources & to use your code in a reusable manner in your apps. By end of this course you will be able to avoid code duplication and write clean reusable code, also you'll be comfortable building various solutions in RustContents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Learning Rust begins by getting familiar with the basic syntax and concepts of Rust, from writing a Hello World program to defining functions and creating variables. Then youll see how to manage toolchains with Rust up and build your first command-line program. Moving on, youll explore Rusts type system to write better code and put it into practice in a simple markup language. Youll learn to use Rusts functional programming features to perform a physics simulation and use the Rayon crate to parallelize your computations. Finally, youll discover the best practices and test your code by building a simple crate with a tested, usable, well-documented API using Cargo and RustDoc. By the end of the video, youll be comfortable building various solutions in Rust. Youll be able to take advantage of Rusts powerful type system and a rich ecosystem of libraries, or crates, available through the Cargo package manager.The second course, Building Reusable Code with Rust will start with teaching you how to build reusable Rust code so that you can stop copying and pasting the code. Write code that can adapt to many different usages. You will reuse code by using advanced features such as traits, generics, and macros. You will work with different forms of code reuse, loops, map, filter and fold to save time and resources. Achieve higher-level reuse without sacrificing runtime performance. Organize your code into modules and crates to publish them to crates .io. By the end of the course, you will be able to avoid code duplication and write clean reusable code."
Price: 199.99 |
| "GeoServer: Step-By-Step Tutorial" |
| "GeoServer is an open source server-side software written in Java that allows users to share and edit geospatial data. It also provides great flexibility in map creation and data sharing.With this fast-paced, hands-on guide, you'll start with various GeoServer Layers & adding information on the map using different styles. Then you'll learn to deploy a spatial database, PostGIS, in tandem with GeoServer. Next, youll dive into an important technique to improve the speed of your web map application. Moving further youll enable authentication on the front and back ends to protect sensitive map data, and how to deliver sensitive data to your end user. Finally, youll put your web application into production & look at the hosting of the OpenLayers, GeoServer, and data aspects of your application."
Price: 199.99 |
| "Beginning Machine Learning with AWS" |
| "Machine Learning with AWS is the right place to start if you are a beginner interested in learning useful artificial intelligence (AI) and machine learning skills using Amazon Web Services (AWS), the most popular and powerful cloud platform. You will learn how to use AWS to transform your projects into apps that work at high speed and are highly scalable. From natural language processing (NLP) applications, such as language translation and understanding news articles and other text sources, to creating chatbots with both voice and text interfaces, you will learn all that there is to know about using AWS to your advantage. You will also understand how to process huge numbers of images fast and create machine learning models.By the end of this course, you will have developed the skills you need to efficiently use AWS in your machine learning and artificial intelligence projects. About the AuthorJeffrey Jackovich, is the author of this course, and a curious data scientist with a background in health-tech and mergers and acquisitions (M&A). He has extensive business-oriented healthcare knowledge, but enjoys analyzing all types of data with R and Python. He loves the challenges involved in the data science process, and his ingenious demeanor was tempered while serving as a Peace Corps volunteer in Morocco. He is completing a Masters of Science in Computer Information Systems, with a Data Analytics concentration, from Boston University. Ruze Richards, is the author of this course, and a data scientist and cloud architect who has spent most of his career building high-performance analytics systems for enterprises and startups. He is especially passionate about AI and machine learning, having started life as a physicist who got excited about neural nets, then going on to work at AT&T Bell Labs in order to further pursue this area of interest. With the new wave of excitement along with the actual computing power being available on the cloud for anybody to actually get amazing results with machine learning, he is thrilled to be able to spread the knowledge and help people achieve their goals. Kesha Williams is a software engineer with over 20 years of experience in web application development. She is specialized in working with Java, Spring, Angular, and Amazon Web Services (AWS). She has trained and mentored thousands of developers in the US, Europe, and Asia while teaching Java at the university level. She has won the Ada Lovelace Award in Computer Engineering from LookFar and the Think Different Innovation Award from Chick-fil-A for working with emerging technologies and artificial intelligence."
Price: 199.99 |
| "Go: Data Structures, Algorithms and Design Patterns with Go" |
| "Go is a multi-paradigm programming language that has built-in facilities to create concurrent applications. Design Patterns will provide readers with a reference point to software design patterns and CSP concurrency design patterns to help them build applications in a more idiomatic, robust, and convenient way in Go.With this hands-on, practical course, you'll first have a deep dive into understanding the basic data types, structures, linked lists and doubly linked lists in Go. Then, you will learn about graph algorithms such as binary & trees. You will then learn about CSP concurrency patterns used to maintain thousands of servers. Moving further, you will also gain advanced knowledge about classic design patterns to build concise, readable, and maintainable applications & software.Finally, you will learn concurrent structures and parallel execution which helps you improve your concepts of Go Concurrency to write concurrent apps & develop some classical design patterns with concurrent structures to maximize parallelism. Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Learning Go Data Structures, and Algorithms will begin by understanding the basic Data types and Structures in Go. Moving forward, you will learn the power of linked lists and doubly linked lists in Go and then learn to implement linear data structures such as stacks and queues. Also, implement binary searches and trees and will explore sorting algorithms in detail. From here, you will learn about graph algorithms and also be introduced to some common data structures used while working with strings. You will learn common techniques and structures used in tasks such as preprocessing, modelling, and transforming data. By the end of this course, you would have mastered functional and reactive implementations of traditional data structures in an easy and efficient mannerThe second course, Introduction to Go Classical Patterns starts with a brief introduction to Go programming essentials and quickly moves on to explain the idea behind the creation of design patterns and how they appeared in the 90s as a common ""language"" between developers to solve common tasks in object-oriented programming languages. You will then learn how to apply the 23 Gang of Four (GoF) design patterns in Go and also learn about CSP concurrency patterns, the ""killer feature"" in Go that has helped Google develop software to maintain thousands of servers. With all of this, the book will enable you to understand and apply design patterns in an idiomatic way that will produce concise, readable, and maintainable software.The third course, Go Behavioural Patterns will take you to an advanced level of knowledge about classic design patterns but, as you will see, the design patterns covered here are quite different, partly because of the lack of inheritance in Go, but also because we have different and more optimal ways to solve the same problems. With all this, the course will enable you to understand and apply design patterns in an idiomatic way that will produce concise, readable, and maintainable software.The fourth course, Go Concurrency is on learning about concurrent structures and parallel execution. You will use the majority of Go primitives to write concurrent apps, and we will develop some classical design patterns with concurrent structures to maximize parallelism. Also, you will learn some typical structures with which to develop concurrent apps in Go. You will learn how a classical pattern can become more complex if you need it to work in a concurrent way; however, the idea is to understand Go concurrent primitives so that you know how to write your own concurrent design patterns by using the knowledge taken from the course.About the Authors: Gustavo is an experienced software developer and has been writing code since the beginning of the century. He has vast experience working with different languages, including Erlang, JavaScript, and C but with a major interest in Go. He is currently a Technical Leader of a Golang team that builds distributed systems. When he is not coding, you can find him cycling, rock-climbing, and playing guitar in his free time.Mario Castro Contreras is a software engineer who has specialized in distributed systems and big data solutions. He works as a site reliability engineer, and now he is focused on containerized solutions and apps using most of the Google Cloud suite, especially, Kubernetes. He has wide experience in systems and solutions integration, and he has written many scalable and reliable 12-factor apps using Go and Docker. He has designed big data architectures for financial services and the media, and he has written data processing pipelines using event-driven architectures entirely in Go. He is also very active in the open source community, and you can find him on his GitHub account with the username sayden. In the past, he has also written mobile applications and backends in Java. Mario is passionate about programming languages, and he finds the best balance between fun and productivity in Go; however, recently he enjoys writing in Rust and embedded systems in C. He is also passionate about road cycling and winter sports."
Price: 199.99 |
| "OpenCV 4 Computer Vision with Python Recipes" |
| "Have you ever wondered how self-driving cars work? Have you ever wanted to land a highly paid job in Computer Vision industry?We have compiled this course so you seize your opportunity to get noticed by building awesome Computer Vision applications.This course kicks-off with Introduction to OpenCV 4 and familiarizes you with the advancements in this version. Well educate you on how to handle images, enhance and transform them. Well also develop some cool applications including Face and Eyes detection, Emotion recognition and Fast QR code detection & decoding that you can deploy anywhere. Well also share some tips & tricks to make you more productive.By the end of the course, you will have profound knowledge on what Computer Vision is and how we can leverage OpenCV 4 to build real-world applications without much effort.About the AuthorMuhammad Hamza Javed is a self-taught Machine Learning engineer, an entrepreneur and an author having over five years of industrial experience. He and his team has been working on several Computer Vision and Machine Learning international projects. He started working when he was 17 and kept learning new technologies and skills since then. His areas of expertise include Computer Vision, Machine Learning and Deep Learning. He learned skills own his own without a direct mentor - so he knows how troublesome it is for everyone to find to-the-point content that really improves ones skill-set. Hes designed this course considering the challenges he faced when he learned and in the projects, so you dont have to spend too much time on finding whats best for you."
Price: 124.99 |
| "Applied Data Visualization with R and ggplot2" |
| "Applied Data Visualization with R and ggplot2 introduces you to the world of data visualization by taking you through the basic features of ggplot2. To start with, you'll learn how to set up the R environment, followed by getting insights into the grammar of graphics and geometric objects before you explore the plotting techniques.You'll discover what layers, scales, coordinates, and themes are, and study how you can use them to transform your data into aesthetical graphs. Once you've grasped the basics, you'll move on to studying simple plots such as histograms and advanced plots such as superimposing and density plots. You'll also get to grips with plotting trends, correlations, and statistical summaries.By the end of this course, you'll have created data visualizations that will impress your clients. About the AuthorChris DallaVilla is the founder and CEO of VALID., an independent marketing consulting practice specializing in providing data-driven solutions that help chief marketing officers and their teams strengthen their planning and execution, and drive results. Chris has expertise in digital and social media marketing, as well as certifications in Agile, Google AdWords, and Google Analytics. He studied computer science at Harvard University, design technology at Massachusetts College of Art and Design, and advertising and marketing communications at the Questrom School of Business at Boston University.Tania Moulik has a PhD in particle physics. She has worked at CERN, the European Organization for Nuclear Research, and on the Tevatron at Fermi National Accelerator Laboratory in IL, USA. She has years of programming experience in C++, Python, and R. She has also worked in the feld of big data and has worked with technologies such as grid computing. She has a passion for data analysis and would like to share her passion with others who would like to delve into the world of data analytics. She especially likes R and ggplot2 as a powerful analytics package."
Price: 199.99 |
| "Getting Actionable Insights from Power BI" |
| "You'll take the role of a business analyst and create factful, truthful, engaging, and visually appealing reports with meaningful and actionable insights, and analyze and present data in a way that promotes actionable insights, strong decisions, and clear data-driven recommendations.Most courses focus on software, a programming language, with little attention to how to use visual clues and analyze and present data in a way that provides insights that can be followed up.This no-nonsense, hands-on course will help you create well-designed, truthful, insightful, and actionable reports using Power BI, an industry-standard data analysis tool. You will process and clean realistic data, extract meaning from it, and communicate it using charts and visualizations. You'll do all this by using Power BI and its built-in DAX language.By the end of the course, you will be able to use Power BI effectively as a business analytics tool to load, pre-process, and model data and create meaningful and actionable reports and visualizations.About the AuthorNikita Barsukov is a software developer and data scientist with 10 years' experience in the industry. He is a self-taught data scientist who learned early on that it is often messaging, insight and data storytelling that is important in data science, not technology or software. He went through a traditional data science path at the beginning of his careerfor example, learning R and machine learning algorithms using online courses. Then he also quickly grasped the value of visual data storytelling, using charts as a way to communicate and tell something. He lives in Copenhagen, Denmark with his beautiful wife and three awesome sons."
Price: 124.99 |
| "Beginning Java Data Structures and Algorithms" |
| "Learning about data structures and algorithms gives you better insight on how to solve common programming problems. Most of the problems faced every day by programmers have been solved, tried, and tested. By knowing how these solutions work, you can ensure that you choose the right tool when you face these problems.This course teaches you tools that you can use to build efficient applications. It starts with an introduction to algorithms and big O notation, later explains bubble, merge, quicksort, and other popular programming patterns. You'll also learn about data structures such as binary trees, hash tables, and graphs. The course progresses to advanced concepts, such as algorithm design paradigms and graph theory. By the end of the course, you will know how to correctly implement common algorithms and data structures within your applications. About the AuthorKristian Secor has been in the industry for quite a while. He a M.S. focusing on web development and an Ed.D focusing on educational technology. He has been developing for about 20 years and has been teaching for about 16 years at the University level for the frontend, backend, and mobile application courses. Currently, he is working as the Program Head for the Web Development Department at San Diego Mesa College. He is also an instructor for both user experience and frontend development at U.C. San Diego Extension."
Price: 199.99 |
| "Data Structure, Algorithm & Design Pattern in C# & .NET Core" |
| "Data structures allow you to organize data efficiently, but critical to various problems and their suitable implementation can provide a complete solution that acts like reusable code; whereas design patterns are reusable solutions to common programming problems where they speed up the development process by providing tested, proven development paradigms. This course follows a practical approach, where you'll first start learning about arrays, lists, dictionaries, and sets together with real-world examples of your application. Then, you'll be learning creational design patterns, patterns related to the creation of objects, such as Singleton, Factory, and Dependency Injection. Next, you'll gain deep knowledge about dependency Inversion pattern, which will teach you how to write highly extensible, maintainable, and testable code along with insights into structural & behavioral design patterns.By end of this course, you will be able to build your own desktop applications in C# 7.x much faster and with ease also improve the maintainability and testability of your application and gain the confidence to start a new project with Functional Programming paradigms. Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Beginning Data Structures and Algorithms in C# you will learn how to use various data structures while developing in the C# language as well as how to implement some of the most common algorithms used with such data structures. Initially, you will get to know arrays, lists, dictionaries, and sets together with real-world examples of your application. Then you will learn how to create and use stacks and queues. In the following part of the book, more complex data structures will be introducedtrees and graphstogether with some algorithms for searching the shortest path in a graph. We will also discuss how to organize code in a manageable, consistent, and extendable way. By the end of the course, you will have learned how to build components that are easy to understand, debug, and use in different applications.The second course, Design Patterns using C# and .NET Core starts at the nuts-and-bolts level and shows you everything through to advanced patterns and features, going in-depth to give you the knowledge you need. You will begin this course with an introduction to SOLID principles, which will introduce you to clean-code concepts and will elevate your skills. With this knowledge in your toolbox, you will be ready to move on to studying creational design patterns, patterns related to the creation of objects, such as Singleton, Factory, and Dependency Injection. You will then acquire more in-depth knowledge of one specific creational pattern, the Dependency Inversion pattern, which will teach you how to write highly extensible, maintainable, and testable code. Moving on, you will get your hands dirty with structural design patterns and you will complete this course by learning the last group of patterns: behavioral design patterns. By the end of this course you will be very confident in implementing a new feature in C# and .NET Core because, every time you have a problem, the correct design pattern will spontaneously come to mind.About the Authors: Marcin Jamro, PhD, is an entrepreneur and researcher, as well as a developer and architect of various kinds of applications. He is the President of the Board at TITUTO Sp. z o.o. [Ltd.] in Rzeszw, Poland. Marcin is interested in many aspects of computer science, including software engineering and project management. He is the author of two other booksWindows Phone 8 Game Development (2013) and Windows Application Development Cookbook (2017), both by Packt Publishing. Marcin has published several papers, participated in many conferences, organized a few of them, and participated in two internships at Microsoft in Redmond, USA. He has MCP, MCTS, and MCPD certificates. Dimitris Loukas is a software engineer currently writing Single Page Applications and using the latest JavaScript with Aurelia, Angular, C#, and .NET Core for a trading software firm. He has worked for two start-ups in the past, is active in the open source community, and loves taking up small side-projects. He has mastered Angular, Aurelia, and Vue.JS and is now interested in entering the ReactJS world. He is an early adopter of .NET Core and is fascinated by modern JavaScript and where the web is going."
Price: 199.99 |
| "Bootstrap 4: Building Responsive Web Applications and UIs" |
| "Bootstrap, one of the most complete frameworks, is perfectly built to design elegant, powerful, and responsive interfaces for professional-level web pages. It supports responsive design by dynamically adjusting your web page layout in faster, easier, and less repetitive solution to designing and building applications.With this master class course, you'll first learn to modify Bootstrap 4 with the help of plugins to build highly customized UIs. Then you'll learn how to show or hide a page element on the basis of browser screen size using Bootstraps responsive utility classes. Moving forward, you'll learn to use containers, grids, and Typography in Bootstrap as well as forms, buttons, navigation, and other interface components. Finally, you will also tour the anatomy of a Bootstrap plugin, create your own custom components, and extend Bootstrap using jQuery. By the end of this video, you will explore the fullest potential of Bootstrap by building highly customized, responsive and mobile-first applications, also you will have created a web application that looks like Twitter and a dashboard.Contents and OverviewThis training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Building Web UIs with Bootstrap 4 will begin by showing you how to modify Bootstrap 4 with the help of plugins to build highly customized and powerful UIs. On your way, you will discover several techniques that can be applied to your own web projects to build sleek, beautiful UIs and customize them. You will implement the Bootstrap mobile-first grid system, use the classes Bootstrap has in place to add responsiveness and aesthetic touches to image elements and apply handy helper classes like contextual text and background colours, floating and centring elements and clearing floated elements. Finally, you will learn how to show or hide a page element on the basis of browser screen size using Bootstraps responsive utility classes. By the end of this video, you will explore the fullest potential of Bootstrap by building highly customized, responsive and mobile-first applications. You will also modify, and integrate bootstrap with jQuery plugins to achieve optimal results for your web projects.The second course, Developing Web Application Using Bootstrap 4 covers various examples showing you how to create interesting web applications resembling Twitter using Bootstrap and how to master frontend frameworks. We begin with a web application that only uses Bootstrap elements and components. Then we start using some JavaScript plugins in the web application example. By the end of this course, you will have created a web application that looks like Twitter and a dashboardThe third course, Mastering Bootstrap 4 start by getting to grips with using containers, grids, and Typography in Bootstrap as well as forms, buttons, navigation, and other interface components. Then, youll get to work with alerts, navigation components, and responsive queries. Moving forward, youll work with Bootstrap forms and queries, and access resources that will help you build attractive websites. After that, youll find out how to use utility classes and various form options. Among other things, you will also tour the anatomy of a Bootstrap plugin, create your own custom components, and extend Bootstrap using jQuery. By the end of this course, you will have a thorough knowledge of the frameworks ins and outs, and be able to build highly customizable and optimized web interfaces. Your websites and projects of all sizes will work across multiple screens sizes perfectly with Bootstrap.About the Authors: Vedran Cindric has been a front-end developer for around 15 years now and has been using Bootstrap exclusively for the last 4 years. He has run a web development company called Flip .hr for 5 years now, and he has worked on a lot of interesting projects for clients all around the world. He really enjoys writing great code, optimizing websites, and creating awesome responsive experiences. He has written some articles on Bootstrap before, but this is his first time creating a video course.Silvio Moreto is a developer with more than 7 years' experience with frontend technologies and has created many websites and web applications using the Bootstrap framework. From simple pages to complex ones, he has always used the Bootstrap framework. Silvio is also the creator of the bootstrap-select plugin which is very popular among the community, replaces a selected element with a Bootstrap button drop-down element. Silvio foresaw that a plugin like this one was missing in the original framework, and could be useful for the community. So he created the plugin, and the community helps him maintain it. Besides this, he is very active in the open-source community, participating in some open-source repository and issue communities, such as Stack Overflow. Also, he finished third in the worldwide Django Dash 2013 challenge.Laurence Svekis is a highly experienced web developer with over 18 years of web development experience. He has worked on various large and small projects, and has been an instructor for several Bootstrap projects on a number of platforms, reaching a large number of students and professionals. His web application development areas of expertise include HTML, CSS, JavaScript, JQuery, Bootstrap, PHP, and MySQL. Laurence is passionate about everything to do with web application development, programming to online marketing with a strong focus on social media and SEO."
Price: 199.99 |
| "A Quick Guide to Angular 7 in 4 Hours" |
| "Angular is one of the most popular frameworks for web application development. With the release of Angular 7, it has given even more features to web developers like including the core framework, Angular Material, CLI with synchronized major versions, along with toolchain. If you want to establish yourself as a front-end or full-stack developer with the latest version of Angular, then look no further as this course will enable you to get to grips with Angular 7 by building mobile and desktop web applications with Angular 7.This comprehensive 2-in-1 course covers the fundamentals of Angular 7 such as properties, events, and directives for you to implement and enhance these components into your applications. You will see how Angular 7 differentiates from the earlier versions of the framework. Next, you will learn to build real-world applications from scratch with Angular 7 wherein you will build the frontend, create services and components, and deploy your applications to the cloud. Each section is followed by practical examples to help you readily implement what youve learned in a functional manner.Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Angular 7 New Features, covers each new feature that the framework has to offer to developers. You will also get to know what makes it different from Angular 6 and earlier versions of the framework. You will then learn how to install the new Angular-CLI on your machine. You will also get the hang of other cool features such as virtual scrolling and drag and drop in Angular 7.The second course, Angular Web Development in 2 Hours, takes a practical approach to help you build amazing Angular applications using the latest features of Angular 7. You will be building the applications from scratch in Angular 7. You will first build the frontend of your app, then create services and components, and finally, deploy the app to the cloud using Azure services.By the end of this course, youll be able to utilize the powerful and dynamic features of Angular 7 to create your own beautiful Angular applications.Meet Your Expert(s):We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:Christian Hur is an IT/web instructor, author, developer, and indie filmmaker. He teaches web development and programming full-time at Gateway Technical College (Wisconsin) and part-time at the University of California, Irvine, Continuing Education Division (California). He is an author for Lynda/LinkedIn Learning (The DOM in JavaScript, jQuery, AngularJS, and React) and McPress (Developing Business Applications for the Web: With HTML, CSS, JSP, PHP, ASP .NET, and JavaScript). Aside from his teaching career, Christian has more than 20 years of experience in web development and has built many websites and web-based applications using various Web technologies in the private sector. In the mid-1990s, he co-founded a multimedia and e-commerce company based in Los Angeles and Tokyo. In 2010, he co-founded a new private company to develop video games and produce indie films. In his spare time, Christian enjoys exploring new web technologies, learning AR/VR development, and responding to questions on Quora and Stack Overflow.Baljeet Singh is a Full-Stack Web/Mobile Developer. He started out learning to code by building websites in PHP but has since worked with many other technologies such as Laravel, Angular, Ionic, Vue .js, Express, and more on both the frontend and backend. He loves both worlds nowadays. He has been a self-taught learner if he can remember and what he really loves is sharing what he's learned with the World through blogs, websites, and in person. He strongly encourages you to have a look at his website if you are curious. He loves the quote: Teaching someone else is the best way to learn. When he is not programming or designing with a computer, he likes to practice vocal music and is involved in music production. He loves playing computer games and his favorite game is FIFA. He is also an open-source contributor."
Price: 199.99 |
| "End-to-End Serverless Development using AWS Lambda" |
| "Amazon Web Services continues its domination as the leading cloud service provider in the market. Amazon Lambda is the part of Amazon Web Services that lets you run your code without provisioning or managing servers. Amazon Lambda is a compute service that enables you to deploy applications and back-end services that operate with zero upfront cost and require no system administration. So, if you're an IT architect or a developer who wants to build scalable systems and deploy serverless applications with AWS Lambda, then go for this course.This comprehensive 4-in-1 course teaches you how to make the most of AWS Lambda functions to design, build, manage, and secure scalable and cost-efficient systems and deploy serverless applications with AWS Lambda. You will begin with learning the basics of AWS Lambda such as its architecture and components. You will then learn to build serverless applications for programming languages such as Python, Java, Node.js, and C# using AWS Lambda functions. You will also learn to integrate AWS Lambda with Simple Storage Service (S3) and DynamoDB. Next, you dive deep into the advanced serverless concepts to secure, manage, and deploy your serverless applications. Finally, you will learn to design and develop cloud solutions using AWS. This course will give you a versatile range of AWS Lambda skills, which you will put to work in your own serverless applications.Contents and OverviewThis training program includes 4 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Learning AWS Lambda, starts with covering the basics of Amazon Lambda and will then walk you through combining Lambda with other Amazon Web Services, such as Amazon API Gateway Service, Amazon DynamoDB, and so on. You will then learn how to write, run, and test Lambda functions using Node.js, Java, Python, and C#. Moreover, you will learn how to use its serverless framework to increase your development productivity.The second course, Deep Dive into AWS Lambda, starts with an introduction to the world of serverless computing and its advantages and use cases, followed by a deep dive into AWS Lambda. You will then be introduced to the concepts of serverless computing and will get to know about the benefits. You will also learn how to build and deploy an AWS Lambda function, and how to integrate AWS Lambda with Simple Storage Service. Along the way, you will also discover how to design and deploy considerations for AWS Lambda.In the third course, Hands-on Serverless Architecture with AWS Lambda, you will learn to build, code, and deploy your serverless applications without ever needing to configure or manage underlying servers. You'll build, secure, and manage serverless architectures that can power the most demanding web and mobile apps. You won't have to provision infrastructures or worry about scale.The fourth course, Full Stack AWS Application Development, is designed to help you develop and design cloud solutions using AWS. You will gain confidence in coding and manipulating AWS-based environments (Python, Java). You will be able to use AWS SDK to interact with services and build solutions. You will also learn how to use Amazon DynamoDB data stores and to integrate applications and data (Lambda, SWF). By the end of this course, you will know how to design and implement production-ready AWS serverless solutions. You will also be able to architect and build your own serverless applications on AWS.Meet Your Expert(s):We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:Markus Klems is an expert in software development and system administration for scalable, high-availability and high-performance software systems, such as big data, mobile, web application, and Software-as-a-Service systems. In the context of his research and development work at TU Berlin and Karlsruhe Institute of Technology (KIT), he has gained in-depth knowledge and experience with complex and large-scale IT systems. He has been working with Amazon Web Services (AWS) since 2008 and is particularly excited about emerging technology trends in the realms of serverless computing and serverless microservice architectures.Alan Rodrigues is a software technology evangelist with over 10+ years of experience in the software industry. Being abreast with the latest technologies is what he does best. One life is just not enough to intake all the information the world has to offer, but he does his bit and takes it one step at a time. These are just a few of the technologies he is well-versed in:1. Cloud Services - Amazon Web Services. Certified in AWS as a SysOps Administrator. Well-versed in Azure Web Services as well.2. Business Intelligence SAP Business Objects, Informatica Powercenter.3. Atlassian suite of products (JIRA, JIRA Agile, JIRA service desk, Confluence, Bitbucket, Hipchat)4. Configuration, Continuous Integration - Subversion, Git, Jenkins, Atlassian Bamboo.5. Operating Systems - Windows server 2003, 2008 & 2012, Windows 7, 10, Ubuntu, CentOS.6. Databases - Oracle, MySQL, MongoDB, Microsoft SQL Server.7. Change and Release Management HPSM, HP uCMDB, Atlassian Service Desk.David B. McDaniel has over 30 years of experience in software architecture, design, and implementation. He displays innovation in all aspects and is both a strategic and tactical consultant to all levels of organizations. His strength lies in Cloud strategy and implementation, using private, public, and hybrid solutions, and helping companies implement their API Economy presence, both internally and externally. He specializes in business process automation and optimization and system integration using open source and COTS software packages, integrating with both custom and leading enterprise applications such as SAP and Salesforce. He is an enterprise SOA and Java architect, extremely technical, and can speak to all levels, including CxO's of any organization. Professional and engaging, he is a leader and innovator with a strong passion for his career. He helped launch several companies, including New Era of Networks (NEON), and has worked with many Fortune 500 companies.Specialties: Cloud/Enterprise/SOA Architecture and Strategy, Integration, Mobile Solutions, Cloud/SaaS Computing, System Design. Java, Oracle, Open Source solutions.Founder - Denver AWS Users' Group."
Price: 199.99 |
| "Complete Web Development in TypeScript - Beginner to Expert!" |
| "Writing large applications in JavaScript is a challenge! TypeScript brings JavaScript down to earth by providing optional static typing and future JavaScript features today. TypeScript gives the developer instant feedback on the code they are writing in order to catch mistakes earlier in the development process. If youre a developer looking to take advantage of dozens of features from the next generations of JavaScript without introducing a complex workflow to your project, then this Course is for you! This comprehensive 4-in-1 course is an A+ guide to building full-fledged, production-ready applications with TypeScript. To begin with, youll see how TypeScript helps you write maintainable applications and set up a cross-platform development environment for TypeScript. Moving further, youll learn about creational, structural, and behavioral design patterns to start using an IoC container in your TypeScript apps to increase extensibility, testability, and maintainability. Finally, youll develop a deeper understanding of the TypeScript type system and learn how to use it more effectively in the applications to build enterprise-ready, industrial-strength web applications.Towards the end of this course, you'll write better code with TypeScripts language features. Build enterprise-ready, industrial-strength web applications.Contents and OverviewThis training program includes 4 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Introduction to TypeScript, covers building practical, maintainable and scalable applications using TypeScript. This course will guide you from a beginners level knowledge in JavaScript to being able to successfully start creating applications in TypeScript. Then we move onto the basics of TypeScript such as setting up your development environment and learning basic language features by building a simple utility application and extending it with more features. Finally, we explore some practical use cases, such as converting plain-old JavaScript to TypeScript and youll see how we tackle any issues faced such as external library references, dynamic typing, and more. By the end of the course, the viewer will be equipped to explain why TypeScript is advantageous for you and your team while also having a foundational knowledge of language features such as the type system, classes, interfaces, modules, and generics.The second course, Hands-On Web Development with TypeScript 3, covers building production-grade web applications by structuring applications and leveraging TypeScript's strong typing features in your JavaScript Web applications! This course is a perfect guide to learning the basics of TypeScript and creating simple web apps. As you know, writing large applications in JavaScript is a challenge. This course will help you overcome the difficulties and build web apps with ease. You'll learn to compile ordinary JavaScript so that the code you write in TypeScript will run in any browser that runs JavaScript. Next, you'll start to build an application and learn to use TypeScript to write well structured, type-safe, and scalable web front-end code. As you progress, you'll learn how to receive instant feedback on the code that you're writing in order to catch mistakes earlier in the development process. By the end of the course, you'll be confident enough to build the applications you want and need.The third course, Design Patterns in TypeScript, covers writing cleaner code and enhance your development skills with TypeScript design patterns. This course starts by exploring SOLID principles to write clean code. Then you will create new objects and the instance of classes with creational design Patterns. Next, you will utilize dependency injection with InversifyJS to create testable, maintainable, and extensible code. Moving on, you will explore structural design patterns to better express the relationships between different application entities. Lastly, you will investigate behavioral patterns to add flow to your applications and add levels of communication between your entities.The fourth course, Mastering TypeScript - Second Edition, covers writing better code with TypeScripts language features. This course will take you on a journey through interacting with the type system to working efficiently with more advanced features of the language. It will strengthen your knowledge of TypeScript and help you see the benefits it brings. We use an example-based approach that walks you through a restaurant ordering sample application. In addition, we go one step further by showing you how to automate custom checks on a code base and how to close statically typed gaps.Towards the end of this course, you'll write better code with TypeScripts language features. Build enterprise-ready, industrial-strength web applications.About the AuthorsKamran Ayub is a WebApps consultant and has been associated with the web industry since 2000. He specializes in both front-end and back-end development and is heavily involved in open source. Kamran has used TypeScript in large-scale open source projects since version 1.0. Currently situated in Minnesota, he has given talks on Demystifying TypeScript and TypeScript in Action multiple times over the past few years to different audiences and at different conferences such as his own workplace, the Twin Cities Code Camp, Minnesota Developer Conference, and Midwest .js. He has only received positive feedback on the sessions and is always excited to revamp them each year to update them and spread the love for TypeScript. He is excited to formally record a course on TypeScript where he can take the appropriate time to go over each of the topics he covers in his talks more in-depth and with the ability to focus on important points and explain.Tomasz Lelek is a Software Engineer, programming mostly in Java and Scala. He has been working with the Spark and ML APIs for the past five years with production experience in processing petabytes of data. He is passionate about nearly everything associated with software development and believes that we should always try to consider different solutions and approaches before solving a problem. Recently he was a speaker at conferences in Poland, Confitura and JDD (Java Developers Day), and also at Krakow Scala User Group. He has also conducted a live coding session at the Geecon Conference. He is a co-founder of www. initlearn. com, an e-learning platform that was built with the Java language. Dimitris Loukas is a software engineer currently part of a growing start-up building a revolutionary referral marketing platform with NodeJS, Angular, MySQL, Redis, and Docker. He is also developing trading software applications using C#, Aurelia and TypeScript. He is an author at Packt and has developed many video tutorials in C#, .NET Core and TypeScript. He has worked for two start-ups in the past, is active in the open source community, and loves taking up small side projects. He has developed microservices using C# and NodeJS and has also mastered Angular, Aurelia, and Vue. js. He is an early adopter of .NET Core and is fascinated by modern JavaScript and where the web is going.David Sherret is a software developer in the healthcare industry. Within that, he leads several projects including one that supports the logistics behind specialty pharmaceuticals and maintains a patented technology for reducing health insurance fraud. You can find him answering questions on the TypeScript tag on Stack Overflow."
Price: 199.99 |
| "Build REST APIs with PHP 7 and Laravel 5" |
| "PHP 7 with added features and Laravel, being the best and the most widely used PHP framework with its expressive and elegant syntax will ease your way of developing robust feature-rich websites, web applications, and web services. If you are a PHP developer who wants to build applications on the latest versions of PHP and Laravel by creating RESTful APIs, then go for this course.This comprehensive 2-in-1 course is a step-by-step tutorial which is a perfect course to create and learn the use of REST APIs to make fully-functioning PHP applications. You will first learn the basic concepts associated with the REST architectural style. You will then learn to build a complete web service in vanilla PHP. You will also create, test, and secure your APIs by taking an example of a weather application which provides weather information from multiple sources. In this application, you will learn to use multiple libraries and technologies like Dingo API for routing, JSON web tokens for authentication, and Travis CI for continuous integration and testing. This course covers in-depth content with tutorials that put the theory into practice by giving you the skills required to build, test, and secure your own PHP Laravel APIs.Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Building PHP RESTful Web Services, begins with an introduction to the REST architecture, the course goes on to build a complete web service in vanilla PHP. It shows you how to develop APIs that can be consumed by other services. You will learn to test and secure your web services by making use of Silex or Phalcon framework which simplifies the development process. You will also learn how to add reactivity to your web services, gearing you up for the journey to a microservice-based application.The second course, Building RESTful API with Laravel, will make your client to server communication easier with HTTP requests. You will learn how to develop a real world, RESTful API with Laravel. You will then create an API from scratch, which provides weather information from multiple sources. You will also learn to use multiple libraries and technologies like Dingo API for routing, JSON web tokens for authentication and Travis CI for continuous integration and testing.By the end of this course, you will be able to create, test, and secure your web services using PHP and Laravel.Meet Your Expert(s):We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:Halil Burak Cetinkaya is a Software Engineer at Ericsson. He dedicates his time and effort to get better at everything. He is very passionate about everything associated with software development. He has developed many applications in his entire career. He is hardworking and always likes to learn and discover new things. He also likes to help other people.Bence Gazder is a Software Developer at COdeCluster Ltd in Hungary and has worked on various projects for the Budapest University of Technology and Economics. He uses Laravel/Lumen every day, and a commit to Laravel-related open source projects regularly."
Price: 199.99 |
| "Programming Effectively in Python" |
| "Python is an easy to learn, powerful programming language. If you're a developer who wishes to build a strong programming foundation with this simple yet powerful programming language Python, then this course is for you.This learning path is your step-by-step guide to exploring the possibilities in the field of Go. With this course, you'll start with understanding the principles of refactoring, & spot opportunities by identifying code that requires refactoring. Also, you will be shown how to remove Python anti-patterns from your programs in simple steps. Next, you will learn how you can increase the speed & performance of your code with quick tips, tricks, and techniques for loops, data structures, object-oriented programming, functions, and more. Finally, after all this, its time to troubleshoot Python Application Development Quickly detect which lines of code are causing problems, and fix them quickly without going through lakhs of pages.Contents and OverviewThis training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Refactoring Python Code starts with teaching you to resolve Python anti-patterns with techniques and methods to improve the design of your existing code. Tackle bugs by understanding the principles of refactoring, and learn to spot opportunities by identifying code that requires refactoring. We will also show you how to build test-driven processes to make refactoring easier. This course will show you how to remove Python anti-patterns from your programs in simple steps. We cover specific techniques for refactoring and improving the sloppy Python code. Take this course if you want to have a legacy Python code base with a lot of issues. Apply real-world refactoring techniques, and turn your code into clean, efficient, and maintainable projects.The second course, Python Tips, Tricks, and Techniques will take you from a Python outsider to an insider. You will benefit from insights from the Python documentation, PEPs, and online developer communities to learn the ultimate Pythonic ways to tackle common programming patterns. This course covers tips, tricks, and techniques for loops, data structures, object-oriented programming, functions, and more, helping you work on ordered collections and key-value stores for dictionaries. You will be able to increase the speed and performance of your code while making it easier to debug. Start writing cleaner code for your applications and learn to organize it better in just 3 hours. No other course can transform every corner of your Python code. Take this course NOW and become an overnight Python rockstar developer.The third course, Troubleshooting Python Application Development takes you through a structured journey of performance problems that your application is likely to encounter, and presents both the intuition and the solution to these issues. You'll get things done, without a lengthy detour into how Python is implemented or computational theory. Quickly detect which lines of code are causing problems, and fix them quickly without going through 300 pages of unnecessary detail.About the Authors: James Cross is a Big Data Engineer and certified AWS Solutions Architect with a passion for data-driven applications. He's spent the last 3-5 years helping his clients to design and implement huge scale streaming Big Data platforms, Cloud-based analytics stacks, and serverless architectures. He started his professional career in Investment Banking, working with well-established technologies such as Java and SQL Server, before moving into the big data space. Since then he's worked with a huge range of big data tools including most of the Hadoop eco-system, Spark and many No-SQL technologies such as Cassandra, MongoDB, Redis, and DynamoDB. More recently his focus has been on Cloud technologies and how they can be applied to data analytics, culminating in his work at Scout Solutions as CTO, and more recently with Mckinsey. James is an AWS-certified solutions architect with several years' experience designing and implementing solutions on this cloud platform. As CTO of Scout Solutions Ltd, he built a fully serverless set of APIs and an analytics stack based around Lambda and Redshift. He is interested in almost anything that has to do with technology. He has worked with everything from WordPress to Hadoop, from C++ to Java, and from Oracle to DynamoDB. If it's new and solves a problem in an innovative way he's keen to give it a go!Colibri Ltd is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, machine learning, and cloud computing. Over the past few years, they have worked with some of the world's largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the world's most popular soft drinks companies, helping each of them to make better sense of its data, and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action.Rudy Lai is the founder of QuantCopy, a sales acceleration startup using AI to write sales emails to prospects. After taking in leads from your pipelines, QuantCopy researches them online and generates sales emails from that data. It also has a suite of email automation tools to schedule, send, and track email performancekey analytics that all feedback into how our AI generates content. Prior to founding QuantCopy, Rudy ran HighDimension.IO, a machine learning consultancy where he experienced firsthand the frustrations of outbound sales and prospecting. As a founding partner, he helped startups and enterprises with HighDimension.IO's Machine-Learning-as-a-Service, allowing them to scale up data expertise in the blink of an eye. In the first part of his career, Rudy spent 5+ years in quantitative trading at leading investment banks such as Morgan Stanley. This valuable experience allowed him to witness the power of data, but also the pitfalls of automation using data science and machine learning. Quantitative trading was also a great platform from which to learn deeply about reinforcement learning and supervised learning topics in a commercial setting. Rudy holds a Computer Science degree from Imperial College London, where he was part of the Dean's List, and received awards such as the Deutsche Bank Artificial Intelligence prize."
Price: 199.99 |
| "Big Data Processing with Apache Spark" |
| "Processing big data in real time is challenging due to scalability, information consistency, and fault-tolerance. Big Data Processing with Apache Spark teaches you how to use Spark to make your overall analytical workflow faster and more efficient. You'll explore all core concepts and tools within the Spark ecosystem, such as Spark Streaming, the Spark Streaming API, machine learning extension, and structured streaming. You'll begin by learning data processing fundamentals using Resilient Distributed Datasets (RDDs), SQL, Datasets, and Dataframes APIs. After grasping these fundamentals, you'll move on to using Spark Streaming APIs to consume data in real time from TCP sockets, and integrate Amazon Web Services (AWS) for stream consumption.By the end of this course, youll not only have understood how to use machine learning extensions and structured streams but youll also be able to apply Spark in your own upcoming big data projects. About the AuthorManuel Ignacio Franco Galeano is a computer scientist from Colombia. He works for Fender Musical Instruments as a lead engineer in Dublin, Ireland. He holds a master's degree in computer science from University College, Dublin UCD. His areas of interest and research are music information retrieval, data analytics, distributed systems, and blockchain technologies. Nimish Narang has graduated from UBC with a degree in biology and computer science in 2016. He has developed Mobile apps for Android and iOS since 2015. He is focused on data analysis and machine learning from the past two years and has previously published Keras and Professional Scala with Packt."
Price: 199.99 |
| "Learning Java 11" |
| "Java is one of the most well-known programming languages out there, primarily due to how adaptable and perfect it is. Java can be utilized for an extensive number of tasks, including programming improvement and versatile applications. Knowing Java opens a lot of doors for you as a developer.This video course will be a guide to get you up and running with Java. From installation to key features, this course will be your companion as you build robust and efficient applications with the latest features of Java 11. This tutorial will give you a head start in programming. It supplies enough material for you to start creating something with it right from the word go. You will be solving programming problems and exercises in the various sections and building a calculator application as a fun learning experience.By the end of the course, you will be confident with your programming skills and will be up-and-running with Java 11 and all its new features. About the Author :Ethan Catzel is a professional programmer with 3+ years' experience. His passion comes from being able to resolve almost any problem with his Java programming skills. He has taken multiple subjects involving Java learning to solve problems even more easily. He consistently tries to help other people with programming problems and also teaches Java at the university. His interests lie in creating a better and brighter future; one of his favorite quotes is from Elon Musk: I could either watch it happen or be a part of it."
Price: 124.99 |
| "Hands-On Microservices with Python" |
| "This course covers microservice fundamentals and advanced topics with a hands-on demonstration of how to implement microservices using real-world examples. Learn how to design and build a microservice software architecture in Python. You will learn to make your applications more reliable and fault-tolerant using microservices with Python, no matter how complex the business logic. This course demonstrates how to design and build an application using a series of microservices. The application in question is an order management system, which we will split up into individual services. In a hands-on manner, you will learn topics such as data modeling, data storage, writing API requests, and you will learn to secure, monitor, and scale your microservices.Finally, you will learn to use Docker's containerization technology to isolate, manage, monitor, and deploy microservices in Docker containers. About the Author :Peter Fisher is a freelance web and mobile app developer, speaker, author, and member of the British Computer Society. He's the host of the HowToCodeWell YouTube channel, where he posts weekly programming tutorials and talks on web development and other subjects."
Price: 124.99 |
| "Deep Learning with Python - Novice to Pro!" |
| "Deep Learning is revolutionizing a wide range of industries. Deep Learning allows you to solve problems where traditional Machine Learning methods might perform poorly: detecting and extracting objects from images, extracting meaning from text, and predicting outcomes based on complex dependencies, to name a few. If you're a Data Scientist who have basic Machine Learning knowledge and want to explore the possibilities of Deep Learning, then this Course is perfect for you!This comprehensive 3-in-1 course is a direct, practical, and very hands-on approach where we deal less with theory and adopt a more hands-on style of learning. Initially, youll get hands-on experience building basic neural network models (and no maths!) using Python. Youll also build a deep learning-based image recognition system using Python and learn how to deploy and integrate it into web apps or phone apps. Moving further, a discussion on the corresponding pros and cons of implementing solutions using a popular framework such as TensorFlow, PyTorch, and Keras is provided. Finally, youll reuse Python code snippets and adapt them to everyday problems also, evaluate the cost/benefits and performance implication of each solution.By the end of this course, you'll apply Deep Learning concepts and use Python to solve challenging tasks. Identify mean tweets, detect smiles in your camera app, forecast stock prices, and more using Neural Networks.Contents and OverviewThis training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Python Deep Learning for Beginners, covers applying Deep Learning concepts and use Python to solve challenging tasks. This course will teach you to apply deep learning concepts using Python to solve challenging tasks. You'll build a Python deep learning-based image recognition system and deploy and integrate images into web apps or phone apps. You will start out with an intuitive understanding of neural networks in general. We will guide you through the building blocks of deep learning networks to tackle complex neural networks. So, take this course and learn the skills and temperament need to enter the AI marketplace today.The second course, Real-World Python Deep Learning Projects, covers identifying mean tweets, detect smiles in your camera app, forecast stock prices, and more using Neural Networks. You will start off by creating neural networks to predict the demand for airline travel in the future. Then, you'll run through a scenario where you have to identify negative tweets for a celebrity by using Convolutional Neural Networks (CNN's). Next, you will create a neural network which will be able to identify smiles in your camera app. Finally, the last project will help you forecast a company's stock prices for the next day using Deep Learning. By the end of this course, you will have a solid understanding of Deep Learning and the ability to build your own Deep Learning models.The third course, Python Deep Learning Solutions, covers over 20 practical videos on neural network modeling, reinforcement learning, and transfer learning using Python. The course includes solutions that are related to the basic concepts of neural networks; all techniques, as well as classical network topologies, are covered. The main purpose of this video course is to provide Python programmers with a detailed list of solutions so they can apply Deep Learning to common and not-so-common scenarios.By the end of this course, you'll apply Deep Learning concepts and use Python to solve challenging tasks. Identify mean tweets, detect smiles in your camera app, forecast stock prices, and more using Neural Networks.About the AuthorsDes Drury is a passionate technologist with many years' experience in all aspects of data center infrastructure, automation, programming languages, and developer workflows. He is: - Co-organizer of the Melbourne Kubernetes Meetup - Author of Open Datacentre, a Kubernetes distribution with numerous datacenter workloads; - A Kubernetes evangelist from the early days of its release; - Passionate about helping teams to understand complex technology - Teaches the skills required for team members to solve their own problems - An excellent communicator and enjoys helping people, passing on knowledge, and improving processes He has also built numerous tools that have been adopted as enterprise solutions and has received a number of awards.Braithe E.S. Warnock is currently a Managing Cloud Architect for the Financial Services division of Ernst & Young. He has had the opportunity to work with several of the largest PCF installations on an international scale. He helped build the framework for the adoption of PCF at top companies such as Ford, Comcast, DISH, HSBC, and Charles Schwab. As a vendor-neutral consultant, Braithe enjoys helping people understand the rapidly-evolving world of cloud and application architectures. Braithe has more than six years' experience and specialization in global digital transformations. He has expertise in various cloud and cloud platform technologies (PCF, AWS, Azure, VMware, Netflix OSS, Kubernetes, and OpenShift) and also the Java and Spring Boot frameworks. He has developed over 100 microservices using Spring Boot, Java 7/8, Spring Cloud, and Netflix OSS, spanning half a dozen unique cloud-native microservice architectures. He also has experience in developing machine learning models using AWS, Spark, and MLlib to support product recommendations and enhance customer data.Jan Stomphorst is a senior solution architect with more than 20 years' experience in the automation industry; he creates the best solutions for his customers. He uses advanced technical solutions to help developers create stable continuous pipelines and develop systems for 100% uptime. He is a Docker and Kubernetes expert. He supports several customers with on-premise and in-the-cloud Kubernetes strategies."
Price: 199.99 |
