GitHub Copilot

• Developers looking to enhance their coding efficiency with AI-powered tools

• Programmers interested in learning about responsible AI usage and ethical standards

• Software engineers seeking to integrate GitHub Copilot into their development workflows

• Coders wanting to improve their prompt engineering skills for better AI-generated code suggestions

• Responsible AI mastery – You’ll learn to apply ethical standards and transparency principles in AI-powered code generation

• Enhanced coding efficiency – Through hands-on experience with GitHub Copilot’s features, you’ll significantly improve your coding speed and productivity

• Advanced prompt engineering skills – You’ll master crafting effective prompts to optimize GitHub Copilot’s performance across different programming scenarios

• Practical integration knowledge – You’ll learn how to seamlessly integrate GitHub Copilot into various development environments and workflows

1. Responsible AI with GitHub Copilot

   • Introduction

   • Mitigate AI risks

   • Microsoft and GitHub’s six principles of responsible AI

2. Introduction to GitHub Copilot

   • Introduction

   • GitHub Copilot, your AI pair programmer

   • Interact with Copilot

   • Set up, configure, and troubleshoot GitHub Copilot

   • Exercise – Develop with AI-powered code suggestions by using GitHub Copilot and VS Code

3. Introduction to prompt engineering with GitHub Copilot

   • Introduction

   • Prompt engineering foundations and best practices

   • GitHub Copilot user prompt process flow

   • GitHub Copilot data

   • GitHub Copilot Large Language Models (LLMs)

4. Using advanced GitHub Copilot features

   • Introduction

   • Advanced GitHub Copilot features

   • Exercise – Set up GitHub Copilot to work with Visual Studio Code

   • Applied GitHub Copilot techniques

   • Exercise – Update a web API with GitHub Copilot

5. GitHub Copilot Across Environments: IDE, Chat, and Command Line Techniques

   • Introduction

   • Code completion with GitHub Copilot

   • GitHub Copilot Chat

   • GitHub Copilot for the Command Line

6. Management and customization considerations with GitHub Copilot

   • Introduction

   • Explore GitHub Copilot plans and their associated management and customization features

   • Explore contractual protections in GitHub Copilot and disabling matching public code

   • Manage content exclusions

   • Troubleshoot common problems with GitHub Copilot

7. Developer use cases for AI with GitHub Copilot

   • Introduction

   • Boost developer productivity with AI

   • Align with developer preferences

   • AI in the Software Development Lifecycle (SDLC)

   • Understand limitations and measure impact

8. Develop unit tests using GitHub Copilot tools

   • Introduction

   • Examine the unit testing tools and environment

   • Exercise – Create unit tests by using GitHub Copilot Chat

   • Exercise – Create unit tests for specific conditions by using GitHub Copilot

   • Exercise – Complete the “create unit tests” challenge

   • Review the “create unit tests” solution

9. Introduction to GitHub Copilot Business

   • Introduction

   • About GitHub Copilot for Business

   • GitHub Copilot for Business use cases and customer stories

   • How to get started with GitHub Copilot for Business

10. Introduction to GitHub Copilot Enterprise

    • Introduction

    • About GitHub Copilot Enterprise

    • How to get started

11. Using GitHub Copilot with JavaScript

    • Introduction

    • What is GitHub Copilot

    • Exercise – Set up GitHub Copilot to work with Visual Studio Code

    • Use GitHub Copilot with JavaScript

    • Exercise – Update a JavaScript portfolio with GitHub Copilot

12. Using GitHub Copilot with Python

    • Introduction

    • What is GitHub Copilot?

    • Exercise – Set up GitHub Copilot to work with Visual Studio Code

    • Use GitHub Copilot with Python

    • Exercise – Update a Python web API with GitHub Copilot

• Basic understanding of programming concepts and experience with at least one programming language

• Familiarity with integrated development environments (IDEs) and version control systems like GitHub

• Foundational knowledge of AI and machine learning principles

•  manual in electronic form available on the platform: https://learn.microsoft.com/pl-pl/training/

• access to Altkom Akademia's student portal

Training method:

• Lecture (70%)
• Exercises (30%)

• Training: English

• Materials: English

On-line exam. Record at https://home.pearsonvue.com/Clients/Microsoft.aspx

GitHub Copilot

Exam URL:https://learn.microsoft.com/en-us/credentials/certifications/github-copilot/?practice-assessment-type=certification