GH-300 GitHub Copilot Fundamentals

GH-300 GitHub Copilot Fundamentals

GH-300 GitHub Copilot Fundamentals course explores the use of AI in the context of GitHub Copilot, a generative AI tool for developers. It equips users with the knowledge and skills to use Copilot effectively while mitigating potential ethical and operational risks associated with AI usage. You will learn how to use GitHub Copilot that uses OpenAI Codex to suggest code and entire functions in real time, right from your editor.

 

The audience for this course GH-300 GitHub Copilot Fundamentals consists of

 
  • 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.

The prerequisites for this course includes

 
  • 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.

Microsoft Courseware

Instructor-Led Training

Course Duration: 1-Day (8-Hours)

Microsoft Official Lab Exercises

Delivered by MCT

Cloud Lab Access

Overview

This intermediate-level course introduces learners to the core concepts, features, and products of GitHub Copilot. It is designed to help individuals understand how GitHub Copilot supports collaborative software development and version control.Through a mix of curated modules and hands-on exercises, learners will:

 
  • Gain a comprehensive understanding of the distinctions between GitHub Copilot Individuals, GitHub Copilot Business, and GitHub Copilot Enterprise.
  • Understand how to utilize GitHub Copilot across various environments responsibly and securely.
  • Learn advanced functionalities of GitHub Copilot and how to best use them.

Modules

Module 1: Responsible AI with GitHub Copilot

  • Understand and apply the principles of Responsible AI usage.
  • Identify limitations and mitigate risks associated with AI.
  • Learn best practices for ensuring AI-generated code aligns with ethical standards and project-specific requirements.
  • Recognize the importance of transparency and accountability in AI systems in building trust and maintain user confidence.

Module 2: Introduction to GitHub Copilot

  • Understand how GitHub Copilot can help you code by offering autocomplete-style suggestions.
  • Understand the various ways to trigger GitHub Copilot.
  • Comprehend the differences among GitHub Copilot Free, Pro, Business, and Enterprise.
  • Know how to configure GitHub Copilot.
  • Know how to troubleshoot GitHub Copilot.

Module 3: Introduction to prompt engineering with GitHub Copilot

  • Learn principles and best practices for crafting effective prompts to optimize GitHub Copilot's performance.
  • Understand how GitHub Copilot processes user prompts to generate context-aware responses and code suggestions.
  • Explore the data flow for code suggestions and chat, including secure transmission and content filtering.
  • Discover the role of Large Language Models (LLMs) in GitHub Copilot and how they influence prompting and responses.

Module 4: Using advanced GitHub Copilot features

  • Work with a preconfigured GitHub repository in Codespaces with the GitHub Copilot extension.
  • Use interactive features of GitHub Copilot to generate useful suggestions for an existing project.
  • Apply advanced GitHub Copilot features to learn more about a new project, write documentation, and create unit tests.

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

  • How to utilize GitHub Copilot’s auto-suggestions and multiple suggestions pane.
  • How to provide context to GitHub Copilot through inline comments, block comments, docstrings, and other types of comments to enhance code generation accuracy.
  • Interacting with GitHub Copilot through natural language conversations to generate complex code, debug issues, and obtain code explanations in real-time.
  • How to improve the relevance of GitHub Copilot Chat’s suggestions by using scope referencing, slash commands, and agents
  • How to interact with GitHub Copilot in CLI to get command explanations, suggestions, and even execute commands based on specific needs.
  • How to set up GitHub Copilot CLI configurations, aliases, and manage privacy settings, including opting out of usage data collection.

Module 6: Management and customization considerations with GitHub Copilot

  • GitHub Copilot plans and their associated management and customization features.
  • The contractual protections in GitHub Copilot and disabling matching public code.
  • Managing content exclusions.
  • Common problems with GitHub Copilot and their solutions.

Module 7: Developer use cases for AI with GitHub Copilot

  • Identify specific ways GitHub Copilot integrates seamlessly into developer workflows, enhancing the overall development experience and supporting individual coding preferences.
  • Explore GitHub Copilot's potential impact on different stages of the Software Development Lifecycle.
  • Evaluate the limitations of AI-assisted coding and measure its impact on development efficiency.

Module 8: Develop unit tests using GitHub Copilot tools

  • Creating unit tests in Visual Studio Code using GitHub Copilot and GitHub Copilot Chat.
  • Creating specific unit tests for edge cases and boundary conditions using GitHub Copilot Chat.
  • Creating unit test projects and managing unit tests in Visual Studio Code.
  • Completing a "create unit tests" challenge and reviewing a possible solution.

Module 9: Introduction to GitHub Copilot Business

  • Understand the difference between GitHub Copilot Business versus GitHub Copilot Pro.
  • Learn about specific use cases for GitHub Copilot Business and hear how customers are enhancing their productivity.
  • Review how to enable GitHub Copilot Business.

Module 10: Introduction to GitHub Copilot Enterprise

  • Comprehend the specific features of GitHub Copilot Enterprise
  • Understand the differences between GitHub Copilot Enterprise versus Business versus Pro & Free.
  • Learn about specific use cases for GitHub Copilot Enterprise and hear how customers are enhancing their productivity.
  • Review how to enable GitHub Copilot Enterprise.

Module 11: Using GitHub Copilot with JavaScript

  • Configure a GitHub repository in Codespaces and install GitHub Copilot extension.
  • Crafted prompts to generate suggestions from GitHub Copilot
  • Applied GitHub Copilot to improve your projects.

Module 12: Using GitHub Copilot with Python

  • Configure a GitHub repository in Codespaces and install GitHub Copilot extension.
  • Crafted prompts to generate suggestions from GitHub Copilot
  • Applied GitHub Copilot to improve your projects.

Fees And Schedule

Instructor-Led Training

8-Hours of Instructor-Led Training One to one doubt resolution sessions Microsoft Official Lab Access

Learning Objectives

The course GH-300 GitHub Copilot Fundamentals explores the use of AI in the context of GitHub Copilot, a generative AI tool for developers. It equips users with the knowledge and skills to use Copilot effectively while mitigating potential ethical and operational risks associated with AI usage:

 
  • Learn how GitHub Copilot assists with code generation and completion.
  • Explore how Copilot integrates with Visual Studio Code and GitHub Codespaces.
  • Write effective prompts to guide Copilot’s code suggestions.
  • Refine prompts to improve accuracy and relevance of generated code.
  • Implement Copilot in various programming tasks including writing functions, tests, and documentation.
  • Collaborate with Copilot to accelerate development workflows.
  • Understand the limitations and ethical considerations of using AI in software development.
  • Learn best practices for reviewing and validating AI-generated code.

How do our GH-300 GitHub Copilot Fundamentals Course Work?

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Sharpen your skills by learning through course assignments, live projects, and regular assessments and quizzes.

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FAQ's About GH-300 GitHub Copilot Fundamentals Course

Here's everything you may ask.

This course introduces learners to GitHub Copilot, focusing on its core functionalities, practical use cases, and how to integrate it into development workflows to boost productivity.

The course is ideal for developers, software engineers, and tech enthusiasts who want to understand and leverage GitHub Copilot for coding assistance and automation.

Basic knowledge of programming and familiarity with GitHub are recommended, but not mandatory. The course is designed to be beginner-friendly.

Yes, the course includes cloud-based lab exercises that allow learners to practice using GitHub Copilot in real coding environments.

Flexmind offers both virtual instructor-led training and self-paced options, depending on the learner’s preference and schedule.

Yes, learners who successfully complete the course and its assessments will receive a certificate of completion, which can be shared on LinkedIn or added to resumes.

The course duration varies, but typically spans 1 to 2 days for instructor-led sessions, with flexible pacing for self-study formats.

You’ll need access to A GitHub account, Visual Studio Code (VS Code), GitHub Copilot extension, and Internet connection for cloud labs.

You can enroll directly through the Flexmind website. Pricing and schedule details are listed on the course page.

This course introduces learners to GitHub Copilot, focusing on its core functionalities, practical use cases, and how to integrate it into development workflows to boost productivity.

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