Program Outline
GitHub Copilot
This 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.
Delivery
Virtual, On-site, or Hybrid
Duration
1 day
Product
GitHub
Role
Administrator
Microsoft
Artificial Intelligence, Automation, Machine LearningGitHub Copilot
Github
Best Fit
Audience Profile
Who This Program Is For
- AI Developers and Engineers: Professionals involved in creating and deploying AI systems who need to understand the ethical implications and governance frameworks. - Data Scientists and Analysts: Individuals who work with data and AI models, focusing on ensuring transparency, fairness, and accountability in their work. - Business Leaders and Managers: Decision-makers who oversee AI projects and need to implement responsible AI practices within their organizations. - Policy Makers and Regulators: Those responsible for creating policies and regulations around AI usage, ensuring that AI systems are developed and used ethically and safely.
Overview
Program Summary
Candidates for this certification should possess expertise in using GitHub Copilot to improve software development productivity, quality, and security.
Course Outline
Complete Module Sequence
Review the full module sequence for this program, including the primary topic coverage in each module where available.
1Module 1
GitHub Copilot Fundamentals Part 1 of 2
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Module 1
GitHub Copilot Fundamentals Part 1 of 2
Empower individual developers and businesses to enhance their productivity and foster innovation through a comprehensive exploration of the fundamental concepts of GitHub Copilot. Additionally, gain valuable insights on how to initiate the implementation of GitHub Copilot within your organization, enabling you to kickstart your own transformative journey. This is learning path is split into two and this is part one of two.
- Responsible AI with GitHub Copilot
- Introduction to GitHub Copilot
- Introduction to prompt engineering with GitHub Copilot
- Introduction to Copilot Spaces
- Using advanced GitHub Copilot features
- GitHub Copilot Across Environments: IDE, Chat, GitHub.com, and Command Line Techniques
- Management and customization considerations with GitHub Copilot
- Developer use cases for AI with GitHub Copilot
- Develop unit tests using GitHub Copilot tools
2Module 2
GitHub Copilot Fundamentals Part 2 of 2
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Module 2
GitHub Copilot Fundamentals Part 2 of 2
Empower individual developers and businesses to enhance their productivity and foster innovation through a comprehensive exploration of the fundamental concepts of GitHub Copilot. Additionally, gain valuable insights on how to initiate the implementation of GitHub Copilot within your organization, enabling you to kickstart your own transformative journey.
- Building applications with GitHub Copilot agent mode
- Accelerate development with GitHub Copilot Cloud Agent
- Introduction to MCP Server
- Leveling up code reviews and pull requests with GitHub Copilot
- Using GitHub Copilot with JavaScript
- Using GitHub Copilot with Python
Coverage Areas
Topic Coverage
Coverage Item 1
Use GitHub Copilot responsibly
Coverage Item 2
Use GitHub Copilot features
Coverage Item 3
GitHub Copilot features
Coverage Item 4
Understand GitHub Copilot data and architecture
Coverage Item 5
Apply prompt engineering and context crafting
Coverage Item 6
Improve developer productivity with GitHub Copilot
Coverage Item 7
Configure privacy, content exclusions, and safeguards
Customization
Adapt This Program for Your Team
We can adapt this program around your team structure, platform priorities, delivery goals, and the scenarios your people need to work through in practice.
- •Align labs to your Microsoft tenant and workload scenarios
- •Add readiness checks and exam preparation reviews
- •Extend delivery with role-specific implementation workshops
