919 GitHub courses

In this course, you will learn the process followed by big companies to automatically build and deploy their frontend ReactJS and backend Spring Boot application on Azure cloud using AzureDevOps.

This course aims to provide a solid foundation for educators to stay current with the latest advancements in AI (ChatGPT) and prepare them to integrate these cutting-edge tools into their everyday teaching practices, transforming the educational experience for both them and their students.

Master the OpenGL and GLSL shading language - by writing code! Illustrated theory and practice (from basics to advanced)

Become a Specflow and Cucumber expert for .NET with this course. Master BDD automation from scratch and elevate your testing skills. This definitive course is designed for .NET C# professionals who want to harness the full potential of Specflow for automated testing. Unleash the power of Specflow and Cucumber and become a testing pro.

This course will not only teach you the basics of Node.js but also help you to understand how it helps in building efficient server-side and networking applications. You will learn about sessions and find out how to work with the Node.js API, handle different HTTP requests, and use MongoDB with Node.js.

This course provides complete coverage of C# programming fundamentals and how to create an executable windows form project. You will be digging into the structures of Windows Forms to gain a detailed understanding and then sharpen your skills with the help of a variety of projects.

Throughout this course, you will learn everything you need to know about linear and non-linear regression, regression modeling, and Stata. By the end of this course, you will be able to understand and be confident in interpreting complex types of data using Stata.

In this course, you will learn how to perform data cleaning and data preparation with KNIME and without coding. You should be familiar with KNIME as no basics are covered in this course. Basic knowledge of machine learning is certainly helpful for the later lectures in this course.

This course is your guide to deep learning in Python with Keras. You will discover the Keras Python library for deep learning and learn how to use it to develop and evaluate deep learning models.

Understand how to use AWS IAM to run AWS resources securely against cloud hacks