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| "Docker Fundamentals" |
"Docker is a leading software container platform. Using containers, Docker guarantees that a particular application will always run the same, regardless of where it's deployed.The course begins with a basic introduction to Docker, and explore our first Hello world! example. You then move on to Docker installation and more Hello world! examples on various platforms, and explore the Docker architecture and its major components such as the Docker Registry, Docker containers, and so on. Moving ahead, you will delve deeply into understanding Docker containers one of the most important features in Docker. We also look at container and data management, customizing Docker images using Dockerfile, uploading images to the registry, and Dockerfile best practices. Along with learning Docker, you will also learn how Docker simplifies DevOps automation.By the end of this course, you will successfully deploy applications in a Docker container.About the AuthorSreeprakash (or Sree) Neelakantan is a Cloud and DevOps enthusiast based in India. He has worked as the Information Technology Manager at KLM Royal Dutch Airlines and is also the Winner of the Top Quality Performance Award from KLM for cost reduction and Process Enhancement.He is the founder and the Chief Cloud Architect at Schogini Systems Pvt. Ltd. Sree holds multiple Amazon AWS certifications including DevOps Engineer Professional. Apart from his Electrical Engineering Degree (with honors) from the prestigious College of Engineering, Trivandrum, he also has studied Advanced Programming Techniques from TIFR (Tata Institute of Fundamental Research), Mumbai. He spends time conducting technology training workshops both online and onsite for organizations. He has traveled to 30+ countries to train and implement technology solutions."
Price: 199.99
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| "Java: Object-Oriented Programming Concepts" |
"Java is a mature, elegant and sophisticated object oriented language that runs in a JVM (Java Virtual Machine).Once compiled into bytecode, Java can run in a JVM regardless of the underlying environment, Java is Write once and run anywhere. Over the years Java has built for itself the reputation of a language that is capable of delivering high performance robust applications that are elegant,structured and sophisticated. Java is about the Object Oriented way.There are several aspects of the Java language that must be mastered for a developer to use Java at its full potential: The distinction between Classes and Objects, the interaction of Objects and Classes in the forging of an application, the concepts of OO programming (Inheritance and Polymorphism, Abstract Classes and Interfaces, Abstraction and Encapsulation), the memory model, Object identity, the Java Collections framework.You will learn about all these fundamental aspects in this course.About the AuthorRichard Naoufal started coding in Java around 2003. After working as a developer, an architect, a technical project manager he is now a trainer and a consultant. His focus today concerning Java is to make the best of it."
Price: 199.99
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| "Java SE 8 Programmer 1" |
"Java is the leading programming language of choice for over 9 million developers and is deployed on billions of devices and servers worldwide. It drives websites, desktop applications, mobile phones, IOT devices, and much more. It has been adopted by everyone from large multinational corporations to small local business.This course is designed for the beginner who wants to learn Java and for any Java developer who wants to become an Oracle Certified Associate Java Programmer by taking the Java SE 8 Programmer I exam. This course is ideal for those coming from another language and who want to get up-to-speed quickly.You will be taken on a journey through the fundamental concepts of the Java language and given the knowledge necessary to write your own Java application. You will learn about flow control by using loops, decision logic, and exception handling; you will learn how to manipulate data and store it in a data structure. Once you are comfortable using these constructs, youll learn how to structure classes and design applications using object-oriented concepts.Once you have completed this course you will be able to write and launch a Java application and ready to take the Associate exam.About the AuthorAlex Theedom is a senior Java developer with over 10 years' experience developing Spring and Enterprise Java applications in a variety of sectors including finance, gambling, and e-learning. He is a regular speaker at conferences such as JavaOne, Devoxx, jDay, VoxxedDay, and JEEConf.He shares his passion for Java through courses recorded for some of the best-known training providers and has published many articles for Java blogs."
Price: 199.99
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| "Learning Functional Programming with F#" |
"In todays world fully functional web applications are a key requirement and a necessity.We can have a run through developing web applications that includes server-side as well as the client-side programming using Fable, F# to JavaScript compiler.We will focus on the .NET Core platform so that your application will work in a cross-platform manner.About the AuthorOnur Gumus is a Lead Software Engineer based in Dubai. He has diverse interests in software development, architecture, Wing Chun, and Chess. He spends most of his time building .NET applications. His previous experience is as Software Architect at P.I. Works, where he developed several F# projects and gave internal tutorials to the developers. He is extremely passionate about F# and functional programming, and hopes to spend more and more time helping developers in the community to become proficient at functional programming."
Price: 199.99
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| "Continuous Integration and Automation with Jenkins: 2-in-1" |
"In agile development practices, developers need to integrate their work frequently to fix bugs or to create a new feature or functionality. Jenkins is used specifically for continuous integration, helping to enforce the principles of agile development. Jenkins is one of the most popular and leading Continuous Integration servers on the market today. This popularity is because, it is an open source project and a very flexible tool, which you can easily use it to automate all of the steps of your software delivery process on any platform. It is designed to maintain, secure, communicate, test, build, and improve the software development process. Setting up Jenkins and running build jobs is not enough for a production infrastructure. This comprehensive 2-in-1 course a modular and highly interactive approach, providing a general introduction and explanatory, hands-on content. Youll start off with configuring Jenkins effectively to work with Git in building and testing your software. Youll discover the process of using Jenkins to build, test, and package Java applications. Youll also learn about the extensible features of Jenkins with automated deployment on a cloud platform.By the end of the course, youll be able to set up the stage for a DevOps culture by learning Continuous Integration, automating your Jenkins projects and getting continuous feedback for your upstream & downstream projects!Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Effective Jenkins: Getting Started with Continuous Integration, covers Continuous Integration, automate your Jenkins projects and get continuous feedback for your upstream & downstream projects. In this first volume, you will understand the key concepts of CI and CD, as well Continuous Deployment. Get started with Jenkins by installing and configuring a Master and Node server. Once this is done, understand the main parts of Jenkins and create different types of Jenkins projects to automate everything that you want. Youll finish the section by looking to a Java web project and create the necessary steps for build and test it, therefore you can implement it to your real project.The second course, Hands-On Continuous Integration and Automation with Jenkins, covers building, testing, and packaging applications with Jenkins in this hands-on video course supported by practical real-world examples. This video course delves into the installation of the required software dependencies and libraries and demonstrates the workflow you'll need to follow to perform continuous integration for a sample application. From there, you will learn how to integrate code repositories and build tools in order to build code pipelines to implement both continuous integration and continuous delivery. Finally, you will also learn to automate deployment to a cloud platform such as AWS.By the end of the course, youll be able to set up the stage for a DevOps culture by learning Continuous Integration, automating your Jenkins projects and getting continuous feedback for your upstream & downstream projects! About the AuthorsRodrigo Russo is a Certified Jenkins Engineer and has 14+ years' experience in software development with different programming languages and technologies in different countries (Brazil, US, Portugal, Germany and Austria) and projects in companies ranging from a financial institution to game and e-commerce ventures including Walmart .com, Good game Studios and HERE. He is an enthusiastic practitioner of agile methodologies, Continuous Delivery and DevOps, with large-scale adoption experience. He is always seeking to optimize the software development life cycle through automation, process improvements, developing new tools and techniques. Rodrigo holds a B.S. in Computer Science and a post-graduate in Software Engineering.Sandro Cirulli is a certified Jenkins engineer, co-maintainer of XSpec, an open source unit testing framework for XML technologies, and co-organizer of DevOps Oxford Meetup. Sandro currently works as Lead Language Technologist in the Dictionaries department of Oxford University Press (OUP) where he's in charge of system administration, cloud, and DevOps. Sandro holds an MS degree in Computer Science from Oxford Brookes University and blogs at sandrocirulli .net."
Price: 199.99
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| "Deep Learning with TensorFlow and Google Cloud AI: 2-in-1" |
"Deep learning is the intersection of statistics, artificial intelligence, and data to build accurate models. With deep learning going mainstream, making sense of data and getting accurate results using deep networks is possible. Tensorflow is Googles popular offering for machine learning and deep learning. It has become a popular choice of tool for performing fast, efficient, and accurate deep learning. TensorFlow is one of the most comprehensive libraries for implementing deep learning.This comprehensive 2-in-1 course is your step-by-step guide to exploring the possibilities in the field of deep learning, making use of Google's TensorFlow. You will learn about convolutional neural networks, and logistic regression while training models for deep learning to gain key insights into your data with the help of insightful examples that you can relate to and show how these can be exploited in the real world with complex raw data. You will also learn how to scale and deploy your deep learning models on the cloud using tools and frameworks such as asTensorFlow, Keras, and Google Cloud MLE. This learning path presents the implementation of practical, real-world projects, teaching you how to leverage TensorFlows capabilities to perform efficient deep learning.This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Hands-on Deep Learning with TensorFlow, is designed to help you overcome various data science problems by using efficient deep learning models built in TensorFlow. You will begin with a quick introduction to TensorFlow essentials. You will then learn deep neural networks for different problems and explore the applications of convolutional neural networks on two real datasets. You will also learn how autoencoders can be used for efficient data representation. Finally, you will understand some of the important techniques to implement generative adversarial networks.The second course, Applied Deep Learning with TensorFlow and Google Cloud AI, will help you get the most out of TensorFlow and Keras to accelerate the training of your deep learning models and deploy your model at scale on the Cloud. Tools and frameworks such as TensorFlow, Keras, and Google Cloud MLE are used to showcase the strengths of various approaches, trade-offs, and building blocks for creating, training and evaluating your distributed deep learning models with GPU(s) and deploying your model to the Cloud. You will learn how to design and train your deep learning models and scale them out for larger datasets and complex neural network architectures on multiple GPUs using Google Cloud ML Engine. You will also learn distributed techniques such as how parallelism and distribution work using low-level TensorFlow and high-level TensorFlow APIs and Keras.By the end of this Learning Path, you will be able to develop, train, and deploy your models using TensorFlow, Keras, and Google Cloud Machine Learning Engine.Meet Your Expert(s):We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth: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.Christian Fanli Ramsey is an applied data scientist at IDEO. He is currently working at Greenfield Labs a research center between IDEO and Ford that focuses on the future of mobility. His primary focus on understanding complex emotions, stress levels and responses by using deep learning and machine learning to measure and classify psychophysiological signals.Haohan Wang is a deep learning researcher. Her focus is using machine learning to process psychophysiological data to understand peoples emotions and mood states to provide support for peoples well-being. She has a background in statistics and finance and has continued her studies in deep learning and neurobiology.Christian and Haohan together they make dyad machina and their focus area is at the interaction of deep learning and psychophysiology, which means they mainly focus on 2 areas: - They want to help further intelligent systems to understand emotions and mood states of their users so they can react accordingly - They also want to help people understand their emotions, stress responses, mood states and how they vary over time in order to help people become more emotionally aware and resilient"
Price: 199.99
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| "Python Foundations: The Road to Succinct Python 3: 3-in-1" |
"Python is an easy to learn, powerful programming language. Its elegant syntax and dynamic typing, together with its interpreted nature, makes it an ideal language for scripting and rapid application development in many areas and on most platforms. If you're a developer who wish to build a strong programming foundation with this simple yet powerful programming language Python, then this learning path is for you. This comprehensive 3-in-1 course is packed with step-by-step instructions, working examples, and helpful advice to teach you the programming aspects of Python and use them to build powerful applications. You will learn concepts such as variables, functions, loops, data types, lists, decorators, and working with strings. You will also be able to write Python code in a smarter way by learning various object-oriented programming concepts and techniques. You will explore data structures and algorithms in Python by implementation of different types of data structure, spanning from linear data structures to tree graph algorithms.This training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Getting Started with Modern Python, starts off with setting up your development environment, including downloading Python and setting up your IDE (PyCharm). You will then be introduced to Python lists and list comprehensions. You will also understand what a generator is and why you need to use it. Next, you will learn how to use functions and decorators. You will learn how to create a very simple, single-file Python program, and how to execute it both from the command line and from within the IDE. Finally, you will learn to debug Python programs.The second course, Getting Started with Object-Oriented Programming in Python 3, begins with building objects and classes, followed by developing constructors and destructors to call and kill the objects. You will then get a detailed understanding of Inheritance and its dependence on objects. Based on their data types, you will learn to process objects differently through polymorphism, while abstraction techniques will enable you to hide data from a user. To ensure efficient coding, you will be introduced to exceptions and error handling. Furthermore, encapsulation with methods and variables will help you to keep data safe from external, unwanted interference. Finally, you will be taken through recursion mechanisms.The third course, Python Data Structures and Algorithms, starts off with covering the basics of data structures, linked lists, and arrays in Python. You will then learn how to code tuples in Python followed by an example that shows how to program dicts and sets in Python. You will also understand and implement stack, queue, and hash tables. Next, you will learn how to use tree/graph data structures including binary trees, heaps and priority queues in Python. Finally, you will be shown how to apply different algorithms such as Graph traversal, Shortest Path, Minimum Spanning Tree, Maximum Flow tree, and DAG topological sorting.By the end of this Learning Path, you will be well-versed with the programming concepts in Python 3 to write Python programs in a better and efficient manner.Meet Your Expert(s):We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:Joran Beasley has over 7 years of experience as a professional software developer (primarily in Python) and is an active contributor to the Python community. He has previously worked with Packt Publishing as a tech reviewer.Besides being a Computer Science Instructor, Indrasen Pilankar has more than 8 years of experience in the computational field. He geeks out on networking, working on various open source projects based on this, as well as IoT, Cloud Computing, Linux, Android, and more. Opening up devices rather than using them has been a hobby of his ever since he was a kid because he's more interested in understanding the device. A hardcore hardware guy, he builds devices such as tablets and storage devices and also solves day-to-day tech problems. Apart from the tech world, he loves cats and plays basketball.Harish Garg, founder of BignumWorks Software LLP is a data scientist and a lead software developer with 17 years of software Industry experience. BignumWorks Software LLP is an India based Software Consultancy that provides consultancy services in the area of software development and technical training. Harish has worked for McAfeeIntel for 11+ years. He is an expert in creating data visualizations using R, Python, and web-based visualization libraries.Mithun Lakshmanaswamy, part of BignumWorks Software LLP, has been developing applications in Python for more than nine years. He has written enterprise level distributed applications that are deployed on scores of servers and have the ability to support thousands of users simultaneously. Some of the applications he has developed are related to parsing millions of virus definitions, analyzing network packets from an enterprise setup, etc. He is also quite proficient in the teaching technical concepts and is quite involved with his current orgs training programmes. He has worked on multiple projects working with Python, AWS etc implementing the concepts of concurrent and distributed computing."
Price: 199.99
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| "Microservices with Spring Cloud" |
"In this course, you will learn how to split an existing application into smaller services and what you need to build, deploy, and run it. You will learn how you can use Docker to support your local development and how you can utilize it to run your application in the cloud. To work with multiple services, you will need (for example) service discovery and reverse proxies. To be able to maintain the development pace, you also need to break up your user interface, so every service can serve its own UI, and you need to learn how to communicate with these services synchronously using REST and asynchronously using events. To run your application, you need to know what is going on in your distributed application, so monitoring and tracing calls is an important topic as well, and one that you'll learn about. So overall, this course will give you valuable insights and recipes with which to create your own distributed application, for deployment to the cloud.You will also see what needs to be done to upgrade a Spring Boot 1.x service to Spring Boot 2 with the recent Spring Cloud release.About the AuthorPatrick Cornelissen is a software developer at heart and the founder and CEO of the Orchit GmbH and kulinariWeb GmbH. He has written a number of applications in various languages and platforms and specializes in microservice-based applications and the transition of monolithic applications into microservices. He has been using the Spring Framework since 2009 and has been a big fan ever since. After his family, software craftsmanship is a passion of his that he pursues whenever he has any spare time. For this, he has organized, for example, code retreats and open space conferences in the past. He enjoys both learning and teaching new things in the field of (agile) software development."
Price: 199.99
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| "Deep Learning with Python - A Complete Guide!: 2-in-1" |
"Deep learning is the next step to machine learning with a more advanced implementation. Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language with its increasing number of libraries that are available in Python.With deep learning being used by many data scientists, deeper neural networks are evaluated for accurate results. Deep Learning is revolutionizing a wide range of industries. For many applications, Deep Learning has been proven to outperform humans by making faster and more accurate predictions.This comprehensive 2-in-1 course takes a solution-based approach where every topic is explicated with the help of a real-world example. It is is a unique blend of independent solutions arranged in the most logical manner. Use Python frameworks such as TensorFlow, Caffe, Keras, and Theano for Natural Language Processing, Computer Vision, and more!By the end of the course, youll not only dive into the future of Data Science but also implement intelligent systems using Deep Learning with Python!Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Deep Learning with Python, covers implementing intelligent systems using deep learning with Python. This course takes you from basic calculus knowledge to understanding backpropagation and its application for training in neural networks for deep learning and understand automatic differentiation. Through the course, we will cover thorough training in convolutional, recurrent neural networks and build up the theory that focuses on supervised learning and integrate into your product offerings such as search, image recognition, and object processing. Also, we will examine the performance of the sentimental analysis model and will conclude with the introduction of Tensorflow. By the end of this course, you can start working with deep learning right away. This course will make you confident about its implementation in your current work as well as further research.The second course, Python Deep Learning Solutions, covers over 20 practical videos on neural network modeling, reinforcement learning, and transfer learning using Python. This course provides a top-down and bottom-up approach to demonstrating Deep Learning solutions to real-world problems in different areas. These applications include Computer Vision, Generative Adversarial Networks, and time series. This course presents technical solutions to the issues presented, along with a detailed explanation of the solutions. Furthermore, it provides a discussion on the corresponding pros and cons of implementing the proposed solution using a popular framework such as TensorFlow, PyTorch, and Keras. 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 the course, youll dive into the future of Data Science and implement intelligent systems using Deep Learning with Python.About the AuthorsEder Santana is a PhD candidate on Electrical and Computer Engineering. His thesis topic is on Deep and Recurrent neural networks. After working for 3 years with Kernel Machines (SVMs, Information Theoretic Learning, and so on), Eder moved to the field of deep learning 2.5 years ago, when he started learning Theano, Caffe, and other machine learning frameworks. Now, Eder contributes to Keras: Deep Learning Library for Python. Besides deep learning, he also likes data visualization and teaching machine learning, either on online forums or as a teacher assistant.Indra den Bakker is an experienced Deep Learning engineer and mentor. He is the founder of 23insights (part of NVIDIA's Inception program), a machine learning start-up building solutions that transform the world's most important industries. For Udacity, he mentors students pursuing a Nanodegree in Deep Learning and related fields, and he is also responsible for reviewing student projects. Indra has a background in computational intelligence and worked for several years as a data scientist for IPG Mediabrands and Screen6 before founding 23insights."
Price: 199.99
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| "Practical scikit-learn for Machine Learning: 4-in-1" |
"Machine learning is the buzzword bringing computer science and statistics together to build smart and efficient models. scikit-learn is arguably the most popular Python library for Machine Learning today. Due to its popularity and coverage of a wide variety of ML models and built-in utilities, jobs for scikit-learn are in high demand, both in industry and academia.scikit-learn is one of the most powerful Python Libraries with has a clean API, and is robust, fast and easy to use. It solves real-world problems in the areas of health, population analysis, and figuring out buying behavior, and more!This comprehensive 4-in-1 course is an easy-to-follow, step-by-step guide that will help you get to grips with real-world applications of algorithms for Machine Learning. Youll firstly learn how to build and evaluate the performance of efficient models using scikit-learn. Observe data from multiple angles and use machine learning algorithms to solve real-world problem to make your projects successful. Use Regression Trees, Support Vector Machines, K-Means Clustering, and customer segmentation algorithms in real world situations. Finally, apply your knowledge to practical real-world projects using ML models to get insightful solutions!By the end of this course, you'll build a strong foundation for entering the world of Machine Learning and data science with Pythons own scikit-learn the help of this comprehensive guide!Contents and OverviewThis training program includes 4 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Machine Learning with scikit-learn, covers learning to implement and evaluate machine learning solutions with scikit-learn. This course examines a variety of machine learning models including popular machine learning algorithms such as k-nearest neighbors, logistic regression, naive Bayes, k-means, decision trees, and artificial neural networks. It also discusses data preprocessing, hyperparameter optimization, and ensemble methods. You will build systems that classify documents, recognize images, detect ads, and more. Youll learn to use scikit-learns API to extract features from categorical variables, text and images; evaluate model performance; and develop an intuition for how to improve your models performance.By the end of this course, you will master all required concepts of scikit-learn to build efficient models at work to carry out advanced tasks with the practical approach.The second course, Fundamentals of Machine Learning with scikit-learn, covers building strong foundation for entering the world of Machine Learning and data science. In this course you will learn all the important Machine Learning algorithms that are commonly used in the field of data science. These algorithms can be used for supervised as well as unsupervised learning, reinforcement learning, and semi-supervised learning. A few famous algorithms that are covered in this book are: Linear regression, Logistic Regression, SVM, Naive Bayes, K-Means, Random Forest, and Feature engineering. In this course, you will also learn how these algorithms work and their practical implementation to resolve your problems.The third course, Hands-on scikit-learn for Machine Learning, covers Machine Learning projects with Pythons own scikit-learn on real-world datasets. If youre an aspiring machine learning engineer ready to take real-world projects head-on, Hands-on scikit-learn for Machine Learning will walk you through the most commonly used models, libraries, and utilities offered by scikit-learn. By the end of the course, you will have a set of ML problem-solving tools in the form of code modules and utility functions based on scikit-learn in one place, instead of spread over several books and courses, which you can easily use on real-world projects and data sets.The fourth course, Real-World Machine Learning Projects with scikit-learn, covers prediction of heart disease, customer-buying behaviors, and much more in this course filled with real-world projects. In this course you will build powerful projects using scikit-learn. Using algorithms, you will learn to read trends in the market to address market demand. You'll delve more deeply to decode buying behavior using Classification algorithms; cluster the population of a place to gain insights into using K-Means Clustering; and create a model using Support Vector Machine classifiers to predict heart disease. By the end of the course you will be adept at working on professional projects using scikit-learn and Machine Learning algorithms.By the end of this course, you'll build a strong foundation for entering the world of Machine Learning and data science with Pythons own scikit-learn the help of this comprehensive guide!About the AuthorsGiuseppe Bonaccorso is an experienced team leader/manager in AI, machine/deep learning solution design, management, and delivery. He got his MSc Eng in electronics in 2005 from the University of Catania, Italy, and continued his studies at the University of Rome Tor Vergata and the University of Essex, UK. His main interests include machine/deep learning, reinforcement learning, big data, bio-inspired adaptive systems, cryptocurrencies, and NLP.Farhan Nazar Zaidi has 25 years' experience in software architecture, big data engineering, and hands-on software development in a variety of languages and technologies. He is skilled in architecting and designing networked, distributed software systems and data analytics applications, and in designing enterprise-grade software systems. Farhan holds an MS in Computer Science from University of Southern California, Los Angeles, USA and a BS in Electrical Engineering from University of Engineering, Lahore, Pakistan. He has worked for several Silicon-Valley companies in the past in the US as a Senior Software Engineer, and also held key positions in the software industry in Pakistan. Farhan works as consultant, solutions developer, and in-person trainer on big data engineering, microservices, advanced analytics, and Machine Learning.Nikola Zivkovic is a software developer with over 7 years' experience in the industry. He earned his Masters degree in Computer Engineering from the University of Novi Sad in 2011, but by then he was already working for several companies. At the moment he works for Vega IT Sourcing from Novi Sad. During this period, he worked on large enterprise systems as well as on small web projects. Also, he frequently talks at meetups and conferences and he is a guest lecturer at the University of Novi Sad."
Price: 199.99
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| "Moodle: A Complete Guide: 3 in 1" |
"Are you looking forward to get well versed with performing various activities in moodle? Then this is the perfect course for you.Moodle is one of the most popular open source platforms to create, manage, and organize content for courses. This comprehensive 3-in-1 course guides you to work with repositories and e-portfolios and organize the content to gamify the course. Similarly, you'll gain interest in learning various other elements that can be added to a Moodle course in order to make it more attractive to students.By the end of the course, you will be able to make the most of Moodle for teaching purposes along with having your own portable repositories for collaborative work.Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Moodle for Beginners hows you how to create both activities and resources, creating them in a Moodle course and also using external tools. Well enhance our Moodle course by creating external websites, blogs, videos, and channels in order to create a dynamic course. Furthermore, youll learn to work with repositories and e-portfolios and organize the content to gamify the course. Youll learn how to deal with and organize information, edit, and share it.The second course, Moodle Recipes is one of the most popular open source platforms to create, manage, and organize content for courses. It starts giving recipes on how to enhance the Moodle course using different types of external elements and embed them in it. Later it goes on adding social condiments as well as the creation of groups within Moodle. Afterwards, the course shows how to interact online and live among students, teachers, and parents.The Third course, Mastering Moodle shows how to create graded activities and exams, personalize grade-books, provide feedback, and award students with the use of badges in several ways using different tools. These may be within the Moodle course or external tools specific to such purposes. The course also covers applying gamification to Moodle. There are plenty of items that can be used in order to gamify a Moodle course. There are simple steps to bear in mind when designing and then applying for a Moodle course. Students can get badges for specific goals within the course. There are plenty of other elements that can be added to a Moodle course in order to make it more attractive to students. Blocks are also explored and added according to the needs of the course. Gamified courses need gamification blocks as well as certain plugins.About the Authors:Silvina P. Hillar is Italian and has been teaching English since 1993. She has always had a great interest in teaching and has done a lot of research on teaching methodologies and management techniques, and embedding them into e-learning and teaching. She has also explored different types of e-learning combining them with Moodle.She also researches multimedia assets that enhance teaching and learning through VLE platforms. She tries to embed the learning of students through new resources that are appealing and innovative for them. In this way, she ensures that multimedia stimulates different thinking skills as well as multiple types of intelligence.She is an English teacher, a Certified Legal Translator (English/Spanish), and has a postgraduate degree in Education (graduated with honors).She has worked at several schools and institutions with native English speaking students and students of English as a foreign language, and as an independent consultant for many international companies in the capacity of an Interpreter, Translator, and Virtual Learning Environment (VLE) Course Designer.She has always had a passion for technological devices concerning education. Formerly, videos and cassettes were a must in her teaching lessons; the computer was, and still does, play a big role. Her brother, Gastn C. Hillar, designed some programs and games for her teaching. Lately, she has been teaching using Moodle and the Web. She believes that one of the most amazing challenges in education is bridging the gap between classic education and modern technologies.She has authored: Moodle 1.9: The English Teacher's Cookbook, Moodle 2.0 Multimedia Cookbook, Moodle 2.5 Multimedia Cookbook second edition, Mind Mapping with FreeMind, and Moodle 2.3 Multimedia Video Course.When not tinkering with computers, she enjoys traveling with her son, Nico and her love, Jorge, with whom she spends wonderful time."
Price: 199.99
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| "Hands-on Scikit-learn for Machine Learning" |
"Scikit-learn is arguably the most popular Python library for Machine Learning today. Thousands of Data Scientists and Machine Learning practitioners use it for day to day tasks throughout a Machine Learning projects life cycle. Due to its popularity and coverage of a wide variety of ML models and built-in utilities, jobs for Scikit-learn are in high demand, both in industry and academia.If youre an aspiring machine learning engineer ready to take real-world projects head-on, Hands-on Scikit-Learn for Machine Learning will walk you through the most commonly used models, libraries, and utilities offered by Scikit-learn.By the end of the course, you will have a set of ML problem-solving tools in the form of code modules and utility functions based on Scikit-learn in one place, instead of spread over several books and courses, which you can easily use on real-world projects and data sets.All the code and supporting files for this course are available on GithubAbout the AuthorFarhan Nazar Zaidi has 25 years' experience in software architecture, big data engineering, and hands-on software development in a variety of languages and technologies. He is skilled in architecting and designing networked, distributed software systems and data analytics applications, and in designing enterprise-grade software systems.Farhan holds an MS in Computer Science from University of Southern California, Los Angeles, USA and a BS in Electrical Engineering from University of Engineering, Lahore, Pakistan. He has worked for several Silicon-Valley companies in the past in the US as a Senior Software Engineer, and also held key positions in the software industry in Pakistan. Farhan works as consultant, solutions developer, and in-person trainer on big data engineering, microservices, advanced analytics, and Machine Learning."
Price: 124.99
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| "Building Web Applications with TypeScript, Angular & React" |
"TypeScript offers a sliding scale of how much or how little effort you want to put into your declarations: the more effort you put in, the more type safety and code intelligence you get. You will begin this course by learning the fundamentals of TypeScript and eventually move toward advanced concepts. You'll learn how TypeScript relates to JavaScript that you might have written before. You'll understand the benefits of TypeScript and how helps you to avoid software defects. We will learn to use type guards, check null and undefined, create tagged union types, and compare the performance of algorithms. You'll use TypeScript to build a weather forecast widget with Angular, and then build a note-taking client/server application using Angular, Node.js, and MongoDB. Finally, you will create a real-time chat application with React.About the AuthorsIvo Gabe de Wolff has been a freelance developer under the name of ivogabe since 2012 and is also studying mathematics and computing sciences at Utrecht University. When he was eleven, he started programming in GameMaker. Currently, he uses TypeScript on a daily basis. Recently, he has used TypeScript in lots of different environments, including mobile apps, servers, and command-line tools. Now, he mainly specializes in Node.js programming. Furthermore, he is the author of various open source projects, including gulp-typescript. If you want to read more about TypeScript, JavaScript, gulp, or functional programming.Gabriel Isenberg has over 15 years of experience in building web applications at scale. Currently, he is a principal development lead at GoDaddy, where he is delivering the next generation of user experiences utilizing React, React Native, and Node.js. Previously, he worked as a consultant, helping Fortune 500 companies convert large JavaScript codebases over to TypeScript. Additionally, he participates in the development of the JavaScript language standard via Ecma International Technical Committee 39. Sahil Malik, the founder and principal of Winsmarts .com, has been a Microsoft MVP and INETA Speaker for the past 8 years, author and reviewer of many books and numerous articles in both the .NET and SharePoint space, consultant and trainer who delivers training and talks at conferences internationally. Sahil has trained for the best names in the Microsoft technology space, and has architected and delivered SharePoint based solutions for extremely high profile clients."
Price: 199.99
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| "Java EE 8 Application Development" |
"This course is the perfect guide to create a Java EE 8 application. You'll build a real-world chat application and will learn the best patterns and techniques in Java EE.You'll build a business model for a chat application with CDI and JSON. First, you'll create the skeleton of the business model. Moving on, youll learn to add features to the model such as user, message, and chat. Once youve set the model, you'll develop a connection between chat client and server using Websockets. Then, you'll create a REST API for other front-end JSclient applications. Finally, you'll develop a UI for the chat application by using the latest version of Java Server Faces JSF 2.3.By the end of the course, you'll be able to create a full-fledged web application using the new features of Java EE 8.About the AuthorTomasz Lelek is a Software Engineer who programs mostly in Java and Scala. He is a fan of microservice architectures and functional programming. He dedicates considerable time and effort to be better every day. Recently, he's been delving into big data technologies such as Apache Spark and Hadoop. He is passionate about nearly everything associated with software development.Tomasz thinks that we should always try to consider different solutions and approaches before solving a problem. Recently, he was a speaker at several conferences in Poland - Confitura and JDD (Java Developer's Day) and also at Krakow Scala User Group.He also conducted a live coding session at Geecon Conference. He is currently working on this website. Conducted workshops about Apache Kafka on the Geecon conference."
Price: 124.99
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| "Serverless Architecture with AWS Lambda - A Complete Guide!" |
"Serverless architecture is a way to build and run applications and services without having to manage infrastructure. Lambda eliminates the problem of dealing with cloud-based servers at all levels of technology stack, and offers a pay-per-request billing model where you don't have to pay for idle computing time. Thus it becomes extremely important to understand the serverless architecture, which will help you build, manage, and secure serverless applications with AWS Lambda.This comprehensive 3-in-1 course is all-inclusive guide will help you build Serverless applications and run Serverless workloads using the AWS Lambda service. Firstly, youll dive into the Serverless world of AWS Lambda and master its core components and how it works. Youll learn to build, deploy, manage, and secure serverless applications. Finally, youll master the serverless ecosystem with a variety of toolsets and AWS services.By the end of the course, youll dive into the exciting world of serverless architecture with AWS Lambda to build and manage secure serverless applications on AWS.Contents and OverviewThis training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Deep Dive into AWS Lambda, covers exploring and discovering the Serverless ecosystem with AWS services including DynamoDB. This video course starts with an introduction to the world of Serverless computing and its advantages and use cases, followed by a deep dive into AWS Lambda. Youll be introduced to the concepts of Serverless computing and will get to know about the benefits. Then well cover how to build and deploy an AWS Lambda function, and youll learn to integrate AWS Lambda with Simple Storage Service. Along the way, youll also discover how to design and deploy considerations for AWS Lambda.The second course, Design Serverless Architecture with AWS and AWS Lambda, covers diving into the exciting world of serverless architecture with AWS Lambda. This course starts with introduction to serverless architectures and then you'll delve into design considerations, followed by building a serverless application and deploying it on your serverless architecture. This video covers practical example of deploying and orchestrating a serverless application using DynamoDB, AWS Lambda, and API Gateway. Towards the end of the video, we will learn about some security considerations in protecting your serverless application. By the end of this course, you will have mastered working with serverless architectures on AWS Cloud.The third course, Hands-on Serverless Architecture with AWS Lambda, covers building cost-effective and highly scalable serverless applications using AWS Lambda. In this course, you'll learn to build code and deploy it 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. By the end of this course, you will know how to design and implement production-ready AWS serverless solutions. You'll be able to architect and build your own serverless applications on AWS.By the end of the course, youll dive into the exciting world of serverless architecture with AWS Lambda to build and manage secure serverless applications on AWS.About the AuthorsAlan Rodrigues has been working on software components such as Docker containers and Kubernetes for the last 2 years. He has extensive experience working on the AWS Platform, currently being certified as an AWS Solution Architect Associate, a SysOps Administrator, and a Developer Associate. He has seen that organizations are moving towards using containers as part of their Microservices architecture. And there is a strong need to have a container orchestration tool in place. Kubernetes is by far the most popular container orchestration on the market.Michael Haberman (MCT, MCPD, AWS solution architect, and GDG organizer) is a senior consultant and lecturer. He is a full-stack expert, specializing in web technologies such as JavaScript, HTML and CSS; he loves Node .js and AWS."
Price: 199.99
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| "Hands-On Web Penetration Testing with Kali Linux" |
"Kali Linux contains a large number of penetration testing tools from various different niches in the security and forensics fields. Kali Linux offers a multitude of options to scan a single IP, port, or host (or a range of IPs, ports, and hosts) and discover vulnerabilities and security holes. The output and the information this provides can serve as a precursor to penetration testing efforts.Have you ever wondered how to test web applications security? This course will teach you about web application vulnerabilities and how to use Kali Linux tools to perform web penetration testing to professional standards. You will start with application security and learn about the process of web penetration testing. Then you'll create a test lab with Oracle VirtualBox and Kali Linux. Next, you'll learn about common vulnerabilities in web applications with practical examples, which will help you understand the process of penetration testing and the importance of security. Now you'll be introduced to different tools to assess and analyze web application vulnerabilities. In the end, you'll learn to secure web applications.By the end of the course, you'll be able to perform web penetration testing using Kali Linux.About the AuthorRassoul Ghaznavi Zadeh is an information security architect. He has worked with business to define frameworks, perform risk and gap analysis, and identify security controls and roadmaps. He also works with stakeholders to plan, organize, and manage the successful delivery of security strategies and projects as well as the stable operation of the organization's IT infrastructure security, integration, and optimization.His key skills are:Enterprise security architecture design and business alignmentRisk assessment, management, compliance, and auditingEvaluating and analyzing IT security technologies and solutionsIT security control effectiveness monitoring and measurementVulnerability assessment and penetration testing"
Price: 124.99
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| "Binary Exploits with Python" |
"A penetration tester who only knows how to use tools written by others is limited to old techniques. Learning to develop your own exploits will make you much more powerful. Python is the favorite choice for penetration testers because it combines simplicity and ease of use with advanced features.This video course starts with high-level code injection, the simplest sort of exploit. It then explains binary exploits that allow you to skip past unwanted code, such as the password or product key tests, and add Trojan code. You will perform the exploit development process: finding a vulnerability, analyzing a crash in a debugger, creating a crafted attack, and achieving remote code execution on Windows and Linux. You will use the gdb debugger to analyze Linux executables and Python code to exploit them. On Windows, you'll use the Immunity debugger and Python.About the AuthorSam Bowne has been teaching computer networking and security classes at City College San Francisco since 2000. He has given talks and hands-on trainings at DEFCON, HOPE, B-Sides SF, B-Sides LV, BayThreat, LayerOne, Toorcon, and many other schools and conferences. Credentials: PhD, CISSP, DEF CON Black-Badge Co-Winner"
Price: 124.99
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| "Building Trading Algorithms with Python" |
"This course is a great opportunity to get started with trading, reap the rewards, and take the markets by storm. Programmers who have a basic knowledge of trading in traditional assets and wish to develop their own trading bots will find that this course addresses their core concerns and shows how to go about designing and developing a trading bot.The course will enable you to get started with creating a traditional asset trading bot. It will arm you with all the necessary programming tools and techniques to develop a full-fledged trading bot that numerous investors/traders can utilize. It covers general features such as using a financial calculator to do conversions, simply by interacting with a bot. Your customers, using your trading, bot can look up recent trends to make informed predictions and see what others have been trading, and how much.About the AuthorHarish Garg, founder of BignumWorks Software LLP, is a data scientist and a lead software developer with 17 years' software industry experience. BignumWorks is an India-based software consultancy that provides consultancy services in software development and technical training. Harish has worked for McAfeeIntel for 11+ years. He is an expert in creating data visualizations using R, Python, and web-based visualization libraries.Mithun Lakshmanaswamy of BignumWorks Software LLP has been developing applications in Python for 9+ years. He has written enterprise-level distributed applications that are deployed on scores of servers and have the ability to support thousands of users simultaneously. Some of the applications he has developed are related to parsing millions of virus definitions, analyzing network packets from an enterprise setup, and so on. He is also quite proficient in teaching technical concepts and is quite involved with his current organizations training programmes. He has worked on multiple projects working with Python, AWS and so on, implementing the concepts of concurrent and distributed computing."
Price: 124.99
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| "Hands-On Linux System Administration" |
"Have you only come into brief contact with Linux before, but now you need to set up or maintain a Linux server? Then this course is for you.With this course you'll learn how to master any Linux machine. Control and master the administration of a Linux machine, whether a workstation or a server. You'll learn how to set up services, monitor the system, perform backups, and schedule common tasks.By the end of the course you will be ready to start your career as a Linux system administrator.About the AuthorJack-Benny Persson discovered Linux and the internet way back in 1997, and has since been obsessed by it. Linux and networking have been both his hobby, his field of study, and also his career. He runs a small business in Sweden where he does everything from consulting work to writing books, as long as it has to do with Linux, programming, networking, or electronics. He also has a keen interest in communication and is a HAM radio operator. He is truly a jack-of-all-trades when it comes to technology. One of his (many) dream professions is to become a teacher, though he really likes teaching technology."
Price: 124.99
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| "Beginning Data Science with Python and Jupyter" |
"Getting started with data science doesnt have to be an uphill battle. This step-by-step video course is ideal for beginners who know a little Python and are looking for a quick, fast-paced introduction. Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. Youll learn about some of the most commonly used libraries that are part of the Anaconda distribution, and then explore machine learning models with real datasets to give you the skills and exposure you need for the real world.We'll start with understanding the basics of Jupyter and its standard features. You'll be analyzing an example of a data analytics report. After analyzing a data analytics report, next step is to implement multiple classification algorithms. Well then show you how easy it can be to scrape and gather your own data from the open web, so that you can apply your new skills in an actionable context. Finish up by learning to visualize these data interactively.About The AuthorsAlex Galea has been doing data analysis professionally since graduating with a master's in physics from the University of Guelph in Canada. He developed a keen interest in Python while researching quantum gases as part of his graduate studies. More recently, Alex has been doing web data analytics, where Python continues to play a large part in his work. He frequently blogs about work and personal projects, which are generally data-centric and usually involve Python and Jupyter Notebooks.Chris 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."
Price: 199.99
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| "Professional Azure SQL Database Administration" |
"Azure SQL Database is the cloud version of SQL Server. It differs in terms of management, maintenance and administration. Its important to know how to administer SQL Database so that you can get the most out of the features that it provides. You will learn different management aspects of an Azure SQL Database, such as migration, backup and restoration, pricing, security, scalability, monitoring and performance optimization, high availability and disaster recovery. Youll start by understanding the architecture of the Azure SQL Database and its service tiers. Through a narrative of a DBA, who is migrating from a traditional on-premises system to Azure SQL Database, this course will explain the concepts by using different scenarios you might come across while working with Azure SQL Database. If you are interested in developing new or migrating existing applications with Azure SQL Database, then this course is for you. About the AuthorsGethyn Ellis has over eighteen years of experience wit SQL Server and for past ten years he has been working on Azure. He is Microsoft certified trainer. He also trains and is a consultant for SQL Server. Prior to this he has worked with Packt and written books on ""Getting Started SQL Server 2014 Administration"" and, ""Microsoft Azure laaS Essentials"".Ahmad Osama is an independent consultant for Microsoft data platform stack. He has provided consulting, training, content development and SQL support services to more than 120 SQL Server customers globally. An expert in SQL Server and related technologies, he frequently speaks at user group events and conferences. Over the last 9 years, he has worked on countless SQL Server projects, consulted, trained, and mentored more than 1000 IT professionals on SQL Server, delivered more than 50 workshops. Ahmad has been a Microsoft Most Valuable Professional (MVP) awardee for SQL Server from 2014 - 2016.Currently, he works for Pitney Bowes Pvt. Ltd. as a database engineer and is a Microsoft Data Platform rMVP. In his day to day job at Pitney Bowes, he works on developing and maintaining high performance on-premise and cloud SQL Server OLTP environments, building CI/CD environments for databases and automation.Other than his day to day work, Ahmad has written over 100 blogs, including SQL Server Administration/Development, Azure SQL Database, and Azure Data Factory. He regularly speaks at user group events and webinars conducted by the Dataplatformlabs community."
Price: 199.99
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| "Beginning Swift" |
"Well begin with exploring the fundamental Swift programming concepts, language structure, and the Swift programming syntax. Then, we'll learn to create original custom operators with Swift operators, branching, and loops.Moving on, we'll learn how to run application codes and compile errors. Having made progress with it, well see how Swift compares to other computer languages and how to transform your thinking. Then, master the usage of key language elements, such as strings and collections. Finally, grasp how Swift supports modern application development using advanced features, such as built-in Unicode support and higher-order functions.No prior Swift knowledge is required for this book, however some prior exposure to another object-oriented programming language will be beneficial.About the AuthorsRob Kerr is a mobile software architect based in the United States. He has been working with Swift since its introduction, delivering applications via the public App Store and through enterprise distribution. His current focus is developing state-of-the-art iOS applications using Swift in the IoT space.Kre Morstl is an independent software developer from Norway, with a bachelor's degree in software development. He has programmed almost exclusively in Swift since it was released. He thinks it's a great language that is continually getting better.Brent Arnold has over fifteen years of experience in web and mobile technologies. He has been an iOS developer since 2009. He specializes in native iOS and Android development, Objective-C, Swift,Android Native development - Java, Android SDK, Unity 3D, HTML/Javascript/CSS, PhoneGap, Flash/Flex/Adobe Air.He has developed over forty apps in the App store.Software Manager and Mobile Architect over a large development group including off-shore developers. Extensive educational software development experience with applications used by millions of users."
Price: 199.99
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| "Hands-on Web Development with React" |
"The best way to explore React is to dive in, build realistic interfaces, and unravel its secrets one by one. This video course is designed to take you on a journey from a fascinated newbie to an expert in advanced concepts and design patterns.You will work on an SPA project from start to finish and learn how to implement features and interfaces based on real-world requirements. Facing every challenge head-on, you will slowly dissect React and expose its features. Each section will take you through one web development feature with React. You will write components that are maintainable, reusable, stylish (based on CSS-in-JS concepts), and easy to compose. You will tie together all the concepts by turning your small React app into a fully featured Single-Page Application. You will also understand how to add routing, networking, and session management to your project.By the end of the course, you will be well on your way to becoming a React expert, armed with strong fundamentals and clear conceptual knowledge of advanced patterns.This course uses React 16 while not the latest version available, it provides relevant and informative content for legacy users of React.About the AuthorFilip Dani is a software engineer, JavaScript enthusiast, and tech speaker. He's worked on web applicationsboth on the frontend and backendfor enterprise clients as well as VC-backed startups. His code and architecture decisions are deployed at several Fortune 500 companies.Filip is passionate about the JavaScript ecosystem and is constantly exploring new frameworks and tools. He is particularly enthusiastic about applying functional programming concepts, crafting good documentation, and providing a better development experience for others. "
Price: 124.99
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| "Hands-On PowerShell for Active Directory" |
"PowerShell has become the most efficient tool for managing Microsoft Active Directory. Its ability to solve problems and turn the solution into a new tool or automated task allows the system admin to cut down on future manual labor hours. This course will train you in using PowerShell to manage Active Directory. You will customize your preferences, run custom reports, author scripts, and automate tasks. You will discover how to create scripts, access and change data stores, and automate tasks. By the end of the course, you will have the skills to automate Active Directory jobs with PowerShell components such as cmdlets, functions, modules, providers, objects, variables, expressions, and profiles.About the AuthorJoshua B Jones is an IT Systems Administrator with Airways Freight, leading the global company in PowerShell administration, scripts, and tool creation. A certified Microsoft Professional, he has eliminated thousands of labor hours by automating previously manual tasks using PowerShell. No mere expert, he demonstrates his passion for PowerShell by teaching others all over the World how to use it effectively."
Price: 124.99
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| "Isomorphic JavaScript with MEVN Stack" |
"Do you want to build scalable, high-performance web apps? Harness the power of the JavaScript ecosystem to run, build, and test your full-stack applications. This course will guide you in building a full-stack app using Isomorphic JavaScript frameworks. You'll build web applications using the MEVN Stack in JavaScript.This course takes you on an end-to-end journey, building on your basic skills and taking you to advanced skill set in no time with Vue .js while deploying enhanced web apps to a production environment.About the AuthorDavid Acosta is a professional Software Developer with a Bachelor of Science degree in Information Technology Management and more than three years' experience in web development. As a developer for CollaborateMD Inc., David develops web-based medical billing and practice management software services for independent practices and hospitals. His work mainly focuses on JavaScript, TypeScript, and Java-based technologies such as Angular 2, Spring, Swing, and JQuery. He also has extensive knowledge of many other libraries and frameworks such as Laravel, React .JS, Vue .js, Ruby on Rails, Bootstrap, and more."
Price: 124.99
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| "Hands-On Statistical Predictive Modeling" |
"Predicting future trends can be the difference between profit and loss for competitive enterprises. Most businesses state that poor data quality leads to bad decision-making. Further, the predictive analytics market is expected to grow by 22% by 2020. As this technology hits the mainstream, now is the time to consider which predictive modeling techniques will produce the best results for your organization.Hands-On Statistical Predictive Modeling gives you everything you need to bring the power of statistical predictive models into your statistical or data mining work. However, without the right predictive modeling techniques, analytics projects are unlikely to provide actionable insights. This course will show you how these core algorithms underpin the accuracy and relevance of statistical results and drive competitive differentiation. You will be able to anticipate customer behavior, take steps to cultivate customer loyalty, and capture a greater share of the market. You will be aware of the data science forces shaping your future economy and will have mastered how best to use and seize these coming opportunities.By the end of this course, you will be able to elevate your company's analytics know-how to enhance its decision-making skills, cost efficiency, and profitability. You will also be able to put these skills to use in your upcoming statistical and data mining projects.About the AuthorJesus Salcedo has a Ph.D. in Psychometrics from Fordham University. He is an independent statistical and data-mining consultant and has been using SPSS products for over 20 years. He is a former SPSS Curriculum Team Lead and Senior Education Specialist; he has written numerous SPSS training courses and trained thousands of users."
Price: 124.99
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| "Mastering Practical Network Scanning" |
"Network scanning is the process of assessing a network to identify an active host network, which will either be an attacker or a medium for security assessment. This procedure plays an extremely vital role in risk assessment programs or when preparing a security plan for your organization.This course picks up where Learning Practical Network Scanning finished and focuses on the most widely available customization network scanning tool: Nmap. Sills learned with Nmap can be later applied to many other applications.First, it starts by understanding various methods to define scanning targets. Next, the course covers understanding (and adjusting) how ports are scanned and applications and operating systems are detected. Later, it explains how to detect and bypass firewalls and perform scripting to make common tasks easy to repeat.About the AuthorAndrew Crouthamel is an experienced Senior Network Engineer and IT trainer who resides in Doylestown, PA, and currently works with organizations such as NASA, ESA, JAXA, Boeing, and the US Air Force. His passion for teaching shows in his courses, which are filled with excitement and real-world anecdotes."
Price: 124.99
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| "Professional DevOps" |
"DevOps is the most widely used software engineering culture and practice that aims at software development and operation. It helps an organization deploy software more frequently, while maintaining service stability and gaining the speed necessary for more innovation.There are plenty of tools and technology frameworks related to DevOps available on the market, but identifying the most suitable one according to your organizational needs is a real challenge. Implementing configuration management, monitoring tools, information security, and compliance are the most critical parts for any organization.This course helps you implement a complete DevOps cycle in your existing IT environment. Each section of this course will help you implement the DevOps culture in your professional environment. With the help of source control, continuous build, continuous integration, automated test with quality controls, and container technologies, this course will be your perfect guide to learn and apply DevOps in your organization.By the end of this course, youll be able to identify and choose the appropriate tools and technology framework to implement DevOps in your organization.About the AuthorUmar Murtaza has more than 25 years experience of System Administration in implementing, commissioning development, testing, and production environments. He has designed and implemented number of DevOps environments, conducted 4- day hands-on DevOps training sessions at a number of private and government telecommunications and software companies/institutions."
Price: 124.99
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| "Python Digital Forensics" |
"Python is uniquely positioned as a programming language to perform cyber investigations and perform forensics analysis. Unleash the power of Python by using popular libraries and Python tools to help you create efficient and thorough forensics investigations. This course will walk you through digital forensics on network traffic, host analysis, and memory analysis.The course starts with network forensics, an important aspect of any investigation. You will learn to read, sort, and sniff raw packets and also analyze network traffic. These techniques will help you drive your host analysis. You will learn about tools you'll need to perform a complete investigation with the utmost efficiency in both Windows and GNU/Linux environments with Python. Next, you will learn more advanced topics such as viewing data in PE and ELF binaries. It's vital to analyze volatile memory during an investigation as it provides details about what is actually running on a given system. So, you will learn the best tools to obtain and analyze volatile memory images. Finally, you will learn how to use Python in order to think like an attacker. You will complete enumeration, exploitation, and data exfiltration.By the end of the course, you will be able to make the most of Python processes and tackle varied, challenging, forensics-related problems. So, grab this course and think like an attacker!About the AuthorDaryl Bennett is a manager of a Cyberspace Threat Emulation team with the United States Air Force, where he leads military and civilian members in the employment and execution of offensive security on order to audit the security of network infrastructures. He is a key operator, focusing on risk analysis and the overall security posture of cyberspace systems. Additionally, he has 5+ years' experience working in the open-source community. He is a development specialist in a wide range of domains, including GNU/Linux applications, Android mobile, and autonomous systems. He is passionate about sustaining, developing, and implementing both current and new technologies, while practicing analytical problem-solving and learning as much as possible in the process."
Price: 124.99
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| "Getting Started with Machine Learning in Python" |
"Machine Learning is a hot topic. And you want to get involved! From developers to analysts, this course aims to bring Machine Learning to those with coding experience and numerical skills.In this course, we introduce, via intuition rather than theory, the core of what makes Machine Learning work. Learn how to use labeled datasets to classify objects or predict future values, so that you can provide more accurate and valuable analysis. Use unlabelled datasets to do segmentation and clustering, so that you can separate a large dataset into sensible groups.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.If you want to move past Excel and if-then-else into automatically learned ML solutions, this course is for you!This course uses Python 3.6, while not the latest version available, it provides relevant and informative content for legacy users of Python.About The AuthorColibri 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.Rudy 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 performancekey analytics that all feed back 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.IOs 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 about reinforcement learning and supervised learning topics in depth, in a commercial setting. Rudy holds a Computer Science degree from Imperial College London, where he was part of the Deans List, and received awards such as the Deutsche Bank Artificial Intelligence prize."
Price: 124.99
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| "Kubernetes in 7 Days" |
"Kubernetes allows you to deploy cloud-native applications anywhere and manage them exactly as you like everywhere. Kubernetes is a core tool in DevOps; it gives you the ability to schedule and manage containers (Docker or otherwise) at scale.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.If you are looking to deploy and manage your application on the market's leading platform (Kubernetes) in the quickest possible time, then this course is for you! About the Author :Des Drury is a passionate technologist with many years' experience in all aspects of datacenter 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 technologyTeaches the skills required for team members to solve their own problemsAn excellent communicator and enjoys helping people, passing on knowledge, and improving processesHe has also built numerous tools that have been adopted as enterprise solutions, and has received a number of awards"
Price: 124.99
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