Improve Developer Productivity with GitHub Copilot
Cloud and AI Platform
Innovate with Azure AI Apps and Agents
Intermediate
GitHub CopilotGitHub Copilot

Improve Developer Productivity with GitHub Copilot

In this course we will explore the fundamentals and key features with advanced use case labs of GitHub Copilot and its potential to accelerate productivity and foster innovation for both individual developers and businesses. You will discover how to implement it within your organization and unleash its power for your own projects.

6 hours(Suggested: 2 days, 3h/day)TechnicalProject ReadyHands-on Labs

MS Course ID: 00742

Last Updated: Apr 21, 2026

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Pre-requisites

Learners should have their own GitHub Account with GitHub Copilot license

Related Certifications

GH-200

Course Syllabus

1

Accelerating day-to-day development tasks

Module 1: Using GitHub Copilot as an AI pair programmer

• Inline suggestions vs Copilot Chat vs Agent Mode
• Prompting, context awareness, and human decision points

Module 2: Building application features faster with Copilot

• Scaffolding APIs and business logic with intent-driven prompts
• Balancing speed, ownership, and code quality

Module 3: Refactoring and code quality improvements

• Understanding inherited code with /explain
• Reviewing and refining Copilot-generated refactors

Module 4: Generating developer documentation with GitHub Copilot

• Generating tests, comments, and documentation with Copilot
• Validating AI-generated artifacts before shipping’
60 mins
Lecture
2

Hands-on labs

• Lab 1: Accelerating test-driven development for a Java REST API with GitHub Copilot
• Lab 2: Diagnosing and fixing Java application errors using GitHub Copilot
• Lab 3: Generating and improving API documentation using GitHub Copilot
• Lab 4: Creating functional and technical documentation with GitHub Copilot
• Lab 5: Exploring GitHub Copilot modes - Autocomplete, Chat, Agent, and Custom Prompts
• Lab 6: Building and integrating a custom MCP Server with GitHub Copilot
120 mins
Lab
3

Debugging, validation, and production hardening with GitHub Copilot

Module 5: Debugging and Code analysis with GitHub Copilot

• Analyzing unfamiliar or legacy code using Copilot Chat
• Debugging logical and runtime defects with human validation

Module 6: Automated unit test generation and validation

• Generating and refining unit tests using GitHub Copilot
• Working with MSTest, NUnit, and xUnit frameworks

Module 7: Fixing test failures and improving coverage

• Analyzing failing tests and code paths with Copilot
• Iterative fix-and-validate workflows for stability

Module 8: Applying GitHub Copilot responsibly in team Environments

• Developer review, validation, and AI trust boundaries
• Secure and compliant use of Copilot suggestions’
60 mins
Lecture
4

Hands-on labs

• Lab 7: Build a task management REST API with GitHub Copilot
• Lab 8: Improve code quality & maintainability with GitHub Copilot
• Lab 9: Building rapid Full-stack application prototyping with GitHub Copilot
• Lab 10: Debugging and fixing a Node.js REST API with GitHub Copilot
• Lab 11: Fixing a production incident using GitHub Copilot Agent Mode
• Lab 12: Building a Flask customer health dashboard using GitHub Copilot
120 mins
Lab

What You'll Learn

Understand core concepts and best practices
Hands-on experience with real-world scenarios
Learn from certified Microsoft experts
Prepare for relevant certifications
Access to lab environments
Post-training support and resources

Course Details

Duration
6 hours
Level
Intermediate
Role
Technical
Course Type
Project Ready
Partner Segment
SMB, Enterprise
Course Stage
Available
Hands-on Labs
Yes
Labs Platform
Skillable

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