Explore Catalogue

This course provides an introduction to the Python programming language essential for data manipulation, statistical analysis, and modeling techniques required for machine learning and artificial intelligence.  In this course we will explore the wonderfully concise and expressive use of Python’s advanced module features and apply it in probability, statistical testing, signal processing, financial forecasting, and various other applications. This course covers mathematical operations with array data structures, optimization, Probability Density Function, interpolation, Fast Fourier Transform, basic signal processing and other high performance benefits using the core scientific packages NumPy, Scipy, SkLearn/Scikit learn and Matplotlib. Students will gain a deep understanding and problem solving experience with these powerful platforms when dealing with engineering and scientific problems related to Machine Learning and Artificial Intelligence. The course will teach practical aspects of python for data wrangling needed for ML and AI applications so that the students will be able to apply lessons to solve problems using machine learning in their own careers and fields. The course uses examples to guide you through foundational concepts, often employing live algorithms to facilitate visual understanding. Pseudocode will be provided for most of the algorithms covered. You are encouraged to use the pseudocode as a reference to create your own programs in Python. The class has in-class quizzes to gauge learning and group activities including discussion. Homework assignments involving programming in Python are designed for in-depth practice. This is module #6

Pramod Gupta

Senior Software Engineer

Excel is one of the most important software packages in the World with 10s of millions of users and a vast array of applications.  This very brief introduction to Excel helps you get a feeling for what you can do with Excel and why you should develop Excel skills.

John Bura

Senior Software Engineer

This is a comprehensive course designed to show how to setup and run a Jenkins CI server starting with continuous inspection (build, test and analysis) all the way through to continuous deployment. This course provides a strong foundation for implementing continuous inspection, continuous integration, continuous delivery, and even continuous deployment at your company or studio. In order to keep the course short and to-the-point, several decisions were made in order to provide a complete path from CI to CD. The pipeline created in this course consists of the following: Jenkins CI server installed and configured on Windows Git as the source control system Java as the main programming language of build projects Maven as the build tool Findbugs, PMD, and Checkstyle as the static code analysis tools Tomcat as the deployment server Setup Jenkins in AWS using Lightsail Use EC2 Plugin for Auto-scaling This set of tools provides a comprehensive, end-to-end implementation continuous deployment pipeline. Jenkins can be installed on many operating systems and supports a myriad of tools and technologies -- which means, this course provides tremendous value to those comfortable or interested in other operating systems and/or technologies. This is Part#1

Jason Taylor

Senior Software Engineer

This course provides an introduction to the Python programming language essential for data manipulation, statistical analysis, and modeling techniques required for machine learning and artificial intelligence.  In this course we will explore the wonderfully concise and expressive use of Python’s advanced module features and apply it in probability, statistical testing, signal processing, financial forecasting, and various other applications. This course covers mathematical operations with array data structures, optimization, Probability Density Function, interpolation, Fast Fourier Transform, basic signal processing and other high performance benefits using the core scientific packages NumPy, Scipy, SkLearn/Scikit learn and Matplotlib. Students will gain a deep understanding and problem solving experience with these powerful platforms when dealing with engineering and scientific problems related to Machine Learning and Artificial Intelligence. The course will teach practical aspects of python for data wrangling needed for ML and AI applications so that the students will be able to apply lessons to solve problems using machine learning in their own careers and fields. The course uses examples to guide you through foundational concepts, often employing live algorithms to facilitate visual understanding. Pseudocode will be provided for most of the algorithms covered. You are encouraged to use the pseudocode as a reference to create your own programs in Python. The class has in-class quizzes to gauge learning and group activities including discussion. Homework assignments involving programming in Python are designed for in-depth practice. This is module #1

Pramod Gupta

Senior Software Engineer

This is a comprehensive course designed to show how to setup and run a Jenkins CI server starting with continuous inspection (build, test and analysis) all the way through to continuous deployment. This course provides a strong foundation for implementing continuous inspection, continuous integration, continuous delivery, and even continuous deployment at your company or studio. In order to keep the course short and to-the-point, several decisions were made in order to provide a complete path from CI to CD. The pipeline created in this course consists of the following: Jenkins CI server installed and configured on Windows Git as the source control system Java as the main programming language of build projects Maven as the build tool Findbugs, PMD, and Checkstyle as the static code analysis tools Tomcat as the deployment server Setup Jenkins in AWS using Lightsail Use EC2 Plugin for Auto-scaling This set of tools provides a comprehensive, end-to-end implementation continuous deployment pipeline. Jenkins can be installed on many operating systems and supports a myriad of tools and technologies -- which means, this course provides tremendous value to those comfortable or interested in other operating systems and/or technologies. This is Part#2

Jason Taylor

Senior Software Engineer

This is a comprehensive course designed to show how to setup and run a Jenkins CI server starting with continuous inspection (build, test and analysis) all the way through to continuous deployment. This course provides a strong foundation for implementing continuous inspection, continuous integration, continuous delivery, and even continuous deployment at your company or studio. In order to keep the course short and to-the-point, several decisions were made in order to provide a complete path from CI to CD. The pipeline created in this course consists of the following: Jenkins CI server installed and configured on Windows Git as the source control system Java as the main programming language of build projects Maven as the build tool Findbugs, PMD, and Checkstyle as the static code analysis tools Tomcat as the deployment server Setup Jenkins in AWS using Lightsail Use EC2 Plugin for Auto-scaling This set of tools provides a comprehensive, end-to-end implementation continuous deployment pipeline. Jenkins can be installed on many operating systems and supports a myriad of tools and technologies -- which means, this course provides tremendous value to those comfortable or interested in other operating systems and/or technologies. This is Part#3

Jason Taylor

Senior Software Engineer

This is a beginner's course designed to show how to setup and run a Jenkins CI server starting with continuous inspection (build, test and analysis) for users of Windows-based systems. This course provides a strong foundation for implementing continuous inspection and integration at your company or studio. In order to keep the course short and to-the-point, several decisions were made in order to provide a complete path to continuous integration. The pipeline created in this course consists of the following: • Jenkins CI server installed and configured on Windows • Git as the source control system • Java as the main programming language of build projects • Maven as the build tool This set of tools provides a comprehensive, end-to-end implementation continuous integration pipeline. Jenkins can be installed on many operating systems and supports a myriad of tools and technologies -- which means, this course provides tremendous value to those comfortable or interested in other operating systems and/or technologies.

Jason Taylor

Senior Software Engineer

The course examines different approaches to a data analysis project, with a framework for organizing an analytical effort. Popular tools for data analysis, such as R and Python, are introduced to carry out analysis. The course covers how to obtain and manipulate the raw data for use, as well as the basic exploratory analysis and common data analytical techniques such as regression, simulation, estimation and forecasting. It includes several graphing and visualization tools to understand the data and to present findings and results. Overall goal of this class is to introduce participants to the discipline of data analysis/ data mining, a science of understanding and analyzing data. The class is designed to provide participants with the tools they need for solving real world problems using statistics and a better understanding of data analysis techniques. By the end of the course, you will learn a working framework to approach any data analysis project. You will be able to use R (or Python) to complete a large data analysis project, including a write-up with findings, insights and visuals. All tools used are open sourced. In this program, you will learn the practical expertise regarding data analysis. You will understand how it is the process of transforming data into useful information to support decision making. It is the foundation for data mining, business intelligence, and predictive analytics. This course presents the tools, techniques and common practices used in the industry, including how to obtain, manipulate, explore, model, simulate and present data. It will help you build the essential technical skills to perform as data analyst or data scientist, and to continue other course studies in the certificate program. This is module#10

Pramod Gupta

Senior Software Engineer

JavaScript started as a basic language for performing simple computations on web pages, but it’s now become one of the most popular—if not the most popular—programming language. Over the past few years, it’s become possible to do pretty much anything using the only JavaScript: We can write entire front-end applications using React, Angular, or Vue. We can create JavaScript servers using Node.js. We can make JavaScript-driven desktop apps using Electron. We can even develop mobile apps in JavaScript using React Native. In other words, JavaScript has become the common tongue of the software-development world, making it possible for a single developer with a single programming language to build programs that only a few years ago would have required an entire department. Join Shaun Wassell and take a journey into the universe of modern JavaScript. This course offers manageable, thorough, step-by-step guides to learning and mastering modern JavaScript.

Shaun Wassell

Senior Software Engineer

This is a comprehensive course designed to show how to setup and run a Jenkins CI server starting with continuous inspection (build, test and analysis) all the way through to continuous deployment. This course provides a strong foundation for implementing continuous inspection, continuous integration, continuous delivery, and even continuous deployment at your company or studio. In order to keep the course short and to-the-point, several decisions were made in order to provide a complete path from CI to CD. The pipeline created in this course consists of the following: Jenkins CI server installed and configured on Windows Git as the source control system Java as the main programming language of build projects Maven as the build tool Findbugs, PMD, and Checkstyle as the static code analysis tools Tomcat as the deployment server Setup Jenkins in AWS using Lightsail Use EC2 Plugin for Auto-scaling This set of tools provides a comprehensive, end-to-end implementation continuous deployment pipeline. Jenkins can be installed on many operating systems and supports a myriad of tools and technologies -- which means, this course provides tremendous value to those comfortable or interested in other operating systems and/or technologies.

Jason Taylor

Senior Software Engineer