This course gives you a practical, step-by-step path to using GitHub Copilot safely and effectively in real development work. You will learn about Responsible AI, how GitHub Copilot works and handles data, and how to set it up and use it across different coding tasks.

Through focused modules on Prompt Engineering, testing, privacy fundamentals, and real developer use cases, you will see how to integrate Copilot into your full development lifecycle.

You will finish by building and testing a complete web app with GitHub Copilot, so you can apply what you learned immediately.

What's in this course?

• Responsible AI – Explains Responsible AI concepts, risks, limitations, ethical use, and how to validate and mitigate issues when working with generative AI.

• GitHub Copilot Plans and Features – Shows you GitHub Copilot plans, privacy, setup in VS Code, core features like completions and chat modes, and how to use them in real coding tasks.

• How GitHub Copilot Works and Handles Data – Covers the data pipeline lifecycle, how Copilot processes and uses data, and the main limitations of Copilot and other LLMs.

• Prompt Crafting and Prompt Engineering – Teaches you what Prompt Engineering is, how context and chat history work, and how to design effective prompts and Prompt Files for better results.

• Developer Use Cases for AI – Demonstrates practical Copilot use cases such as learning new languages, debugging, refactoring, SDLC management, documentation, and understanding its limits and impact on productivity.

• Testing with GitHub Copilot – Guides you on using Copilot to add tests, find edge cases, configure privacy options, and create and use Custom Instructions and templates.

• Privacy Fundamentals and Context Exclusions – Introduces how to enhance code quality and security with Copilot, manage content exclusions, use safeguards, and troubleshoot issues.

• Practice Session: Build a Calculator with GitHub Copilot – Walks you through planning, building, styling, testing, and documenting a Calculator app using prompts, Copilot features, and best practices.

Responsible AI – Explains Responsible AI concepts, risks, limitations, ethical use, and how to validate and mitigate issues when working with generative AI.

GitHub Copilot Plans and Features – Shows you GitHub Copilot plans, privacy, setup in VS Code, core features like completions and chat modes, and how to use them in real coding tasks.

How GitHub Copilot Works and Handles Data – Covers the data pipeline lifecycle, how Copilot processes and uses data, and the main limitations of Copilot and other LLMs.

Prompt Crafting and Prompt Engineering – Teaches you what Prompt Engineering is, how context and chat history work, and how to design effective prompts and Prompt Files for better results.

Developer Use Cases for AI – Demonstrates practical Copilot use cases such as learning new languages, debugging, refactoring, SDLC management, documentation, and understanding its limits and impact on productivity.

Testing with GitHub Copilot – Guides you on using Copilot to add tests, find edge cases, configure privacy options, and create and use Custom Instructions and templates.

Privacy Fundamentals and Context Exclusions – Introduces how to enhance code quality and security with Copilot, manage content exclusions, use safeguards, and troubleshoot issues.

Practice Session: Build a Calculator with GitHub Copilot – Walks you through planning, building, styling, testing, and documenting a Calculator app using prompts, Copilot features, and best practices.

This Course includes

• Theory and Practice: Lectures with many practical examples (3-10 min lessons duration).

• Downloadable Resources: May include PDF guides, project files, and practical examples for hands-on learning.

• Source Code Examples: Full access to source code for all projects and exercises (practice on your own).

• Udemy Certificate: which you will receive after completing the course.

• Support: If you have any questions, we will always be willing to answer them.

Theory and Practice: Lectures with many practical examples (3-10 min lessons duration).

Downloadable Resources: May include PDF guides, project files, and practical examples for hands-on learning.

Source Code Examples: Full access to source code for all projects and exercises (practice on your own).

Udemy Certificate: which you will receive after completing the course.

Support: If you have any questions, we will always be willing to answer them.

Meet your instructor!

Dmytro Vasyliev - Senior Front-end Engineer with more than 10 years of professional experience in developing complex Web Applications. I have extensive experience with React and other frameworks, having used it in various projects to build dynamic and efficient user interfaces.

Do you need to be concerned?

This course comes with a 30-day money-back guarantee.

Join our course today to learn how to build your first application in React!