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GitHub Copilot and Claude Code Developer Training (Instructor-Led)
Last Updated on 3rd September, 2026
GitHub Copilot and Claude Code Developer Training is a structured,instructor-led training program designed for software developers, technical leads, and engineering teams who want to make practical use of AI in their daily development work. The course provides a hands-on learning experience focused on using GitHub Copilot and Claude Code to improve productivity across the software development lifecycle. It is delivered by a senior trainer who guides participants through each module with a strong emphasis on real-world development scenarios.
As AI capabilities continue to evolve, software development teams are gradually moving beyond traditional coding approaches and adopting AI-assisted workflows. Organizations are increasingly looking for developers who can work effectively with AI tools, understand how to provide the right context, review AI-generated outputs, and use these technologies responsibly within established engineering practices.
This training is designed to help participants build those skills. The course covers prompt engineering, code generation, context management, testing, debugging, code reviews, pull requests,and modern AI-assisted development workflows. Participants will also explore topics such as agents,skills, Model Context Protocol (MCP), enterprise integrations, customization options, and deployment automation using Azure DevOps. Throughout the program, the focus remains on practical application, helping teams understand where these tools can provide value and how they can be integrated into existing development processes.
Rather than treating GitHub Copilot and Claude Code as separate products, the course brings together common concepts and development patterns used across both platforms. This approach helps learners understand the underlying principles of AI-assisted software development while gaining hands-on experience with the tools themselves.
Quick Learning Overview of the Program
Upon completion of this GitHub Copilot and Claude Code Developer Training, participants will be able to:
- Apply prompt engineering techniques to obtain more consistent and reliable AI-generated outputs
- Use GitHub Copilot and Claude Code to support coding, testing, debugging, and code review activities
- Understand how context, memory, and session management influence AI-assisted development workflows
- Work with agents, skills, tools, plugins, and hooks to streamline development tasks
- Integrate external systems and enterprise tools using Model Context Protocol (MCP)
- Use AI-assisted code review, pull request, and multi-file analysis capabilities
- Configure and customize development environments using instructions, configuration settings, and project guidance files
- Apply AI-assisted testing and deployment practices within Azure DevOps environments
- Adopt development practices that balance productivity, code quality, security, and governance
Who should attend the GitHub Copilot and Claude Code Developer Training ?
For Professionals
This training is useful for developers and technical professionals who want to understand how AI can be used effectively within modern software development workflows.
For Businesses
This training is designed for companies that are exploring how AI-assisted development can be adopted responsibly and effectively across engineering teams.
Prerequisites for the "GitHub Copilot and Claude Code Developer Training"
Students should have the following knowledge and experience before attending this course:
- Basic to intermediate programming experience in languages such as C#, Java, Python, JavaScript, TypeScript, or similar technologies
- Experience working with an IDE such as Visual Studio Code, Visual Studio, or JetBrains tools
- Understanding of common software development concepts including functions, classes, APIs, debugging, and version control
- A basic knowledge of Git and collaborative development workflows
- Understanding of software testing and code review practices
Key Features of Flexmind's GitHub Copilot and Claude Code Developer Training
This training is delivered by Flexmind through flexible online and in‑person formats and is fully aligned with the latest certification exam requirements. Key features of the training include:
Course Duration
The course has a total duration of 24 hours and is completed over 3 days.
Instructor-Led Training
Delivered by a Senior Microsoft Certified Trainer with real-world, enterprise-scale experience.
Flexmind Custom curriculum
Delivered by Flexmind using custom curriculum, this program blends study material, hands-on labs, and applied workshops with instructor-led guidance throughout.
Cloud Lab Access
The course will be covered using cloud lab access.
Course Completion Certificate
Course completion includes certification, formally validating the skills gained and reinforcing professional credibility.
Course Outline
Module 1: AI-Assisted Development and Prompt Engineering
This module covers the foundations of AI-assisted software development across GitHub Copilot and Claude Code, with emphasis on directing AI effectively and producing consistent, responsible outputs.
- What is Prompt Engineering
- Paradigm Shift from Code Writing to AI Direction
- Crafting Inputs for Consistent Outputs
- Handling Hallucinations and Bias
- What is GitHub Copilot
- Claude Code Foundations
Module 2: Platform Setup, IDE Integration, and Command-Line Access
This module introduces the available development interfaces and prepares participants to work with GitHub Copilot in supported IDEs and Claude Code through its installation and command-line experience.
- Installing Claude Code
- Claude CLI
- IDE Integration
- Multi-Language Support
Module 3: AI Code Generation and Developer Interaction Modes
In this module, participants will learn how to generate code and interact with both tools through inline assistance, conversational interfaces, agent execution, and interactive or non-interactive usage.
- AI Code Suggestions
- Whole-Function Generation
- Inline Completions
- Copilot Chat
- Chat Mode
- Agent Mode
- Interactive vs Non-Interactive Modes
Module 4: Context, Memory, and Session Management
In this module, participants will learn how context and retained information influence outputs, and how developers manage context, memory, and sessions across GitHub Copilot and Claude Code.
- Context Principles
- Context Sources
- Context Engineering
- Context Variables
- Memory Management
- Auto Memory
- Session Management
Module 5: Code Understanding, Architecture, Refactoring, and Documentation
In this module, participants will learn the capabilities used to understand existing code, support architecture work, improve code structure, and generate development documentation.
- Code Understanding
- Architecture Assistance
- Refactoring
- Documentation Generation
Module 6: Testing and Debugging
This module focuses on using AI assistance to identify issues, support debugging, and generate tests through both conversational and command-based experiences.
- Debugging with Chat
- AI-Assisted Testing
- Test Generation
- /tests Command
Module 7: Commands and Reusable Guidance
This module will cover command-driven productivity and reusable instruction mechanisms that guide consistent behaviour across projects and development sessions.
- Slash Commands
- CLAUDE.md
- Prompt Files
Module 8: Configuration and Customisation
In this module we will learn how GitHub Copilot and Claude Code can be configured at different scopes, from global and project settings to repository-wide and path-specific guidance.
- Global vs Project Configuration
- Custom Instructions
- Repository-Wide Configuration
- Path-Specific Configuration
Module 9: Agents, Skills, Tools, Plugins, and Hooks
This module will cover the combined extensibility and agent topics from both platforms, including agent types, reusable skills, tool invocation, plugins, hooks, and agent handoff patterns.
- Introduction to AI Agents
- Agents
- Agent Skills
- Skills
- Built-in Tools
- Extension Tools
- Tool Invocation
- Self-Correction
- Local Agents
- Cloud Agents
- Custom Agents
- Agent Handoff Workflows
- Plugins
- Hooks
Module 10: Model Context Protocol and Enterprise Integration
This module will cover the consolidated view of Model Context Protocol, MCP servers, architecture, integrations, and the security and governance topics associated with enterprise use.
- Introduction to MCP
- Model Context Protocol (MCP)
- MCP Architecture
- MCP Servers
- MCP Server Types
- Connecting to Databases
- API Integration
- Enterprise Tool Integration
- Security
- Governance
Module 11: Code Reviews and Pull Requests
This module will cover AI-assisted review and pull request activities, including summaries, multi-file analysis, suggested fixes, and automated pull request creation.
- Pull Request Summaries
- Copilot Code Reviews
- Multi-File Analysis
- Suggested Fixes
- Automated Pull Request Creation
Module 12: Deployment to Azure Using Azure DevOps
This last module will cover the GitHub Copilot topics related to Azure DevOps, pipeline generation, infrastructure, application deployment, and deployment automation.
- Copilot for Azure DevOps
- CI/CD Pipeline Generation
- Infrastructure as Code
- Azure App Service Deployment
- Deployment Automation
Class Schedule
Instructor‑Led Training
- 24 Hours of Instructor‑Led Training
- One‑to‑one doubt‑resolution sessions
- Microsoft Official Lab Access
