GitHub Copilot Agent Mode
Unlock the power of GitHub Copilot Agent Mode. This training explores the powerful capabilities of autonomous AI agents, empowering you with the skills to automate complex coding tasks, streamline workflows, and leverage tools for enhanced AI collaboration. Discover how agentic multi-step processing, tool integration, and self-correction features will revolutionize your development process.
Any questions?
Our training advisors will gladly help you further with any personal or in-company needs you might have.
Contact our teamWhat will you learn?
Agent Mode transforms GitHub Copilot into an autonomous coding assistant. This training covers core concepts, architectural insights, and practical applications—all complemented by live demonstrations. Learn how agents plan, iterate, use tools, and self-heal, with a focus on practical use cases that blend technical prowess with creative problem-solving.
Key takeaways
- Understand how Agent Mode works—task decomposition, autonomous iteration, and multi-step reasoning that enables complex task completion.
- Learn about architectural components including Agent-Computer Interfaces (ACI) and Model Context Protocol (MCP) for tool integration.
- Master practical applications, use cases, and best practices for effective agentic workflows in your daily development.
Program
This focused session covers everything you need to start leveraging Copilot’s autonomous capabilities effectively.
- Demystifying Agent Mode
- Core concepts and capabilities
- How Agent Mode extends traditional LLM interactions
- Autonomous task completion: analysis, file interaction, command execution, testing, and evaluation
- Architectural Insights
- Agent-Computer Interfaces (ACI)
- Model Context Protocol (MCP)
- How agents interact with tools and external context
- Key Characteristics of Agents
- Task decomposition and planning
- Autonomous iteration and multi-step reasoning
- Self-correction and error recovery
- Practical Applications
- Real-world use cases
- Model and mode selection for different tasks
- Leveraging GitHub Copilot Vision within agentic workflows
- Tips for Effective Agentic Workflows
- Best practices for prompting agents
- When to use Agent Mode vs. other Copilot features
- Q&A and discussion
Who is it for?
This training is designed for anyone who wants to leverage Copilot’s most advanced capabilities for autonomous code generation and complex task automation—including roles that provide specifications while the agent does the implementation.
Requirements
Active experience with GitHub Copilot
Basic understanding of how LLMs work
Familiarity with Copilot Chat
Have access to Copilot with Agent Mode enabled
Complete our GitHub Copilot Expert Developer Training or have equivalent experience
Why should I follow this training?
Automate Complex Tasks
Learn to delegate multi-step coding tasks to Copilot, freeing you to focus on higher-level problem solving.
Stay Ahead of the Curve
Agent Mode represents the cutting edge of AI-assisted development. Be among the first to master these powerful capabilities.
Practical, Not Theoretical
This workshop focuses on real-world applications and use cases, not just theory. Leave with skills you can apply immediately.
What else should I know?
This is an advanced workshop that assumes familiarity with GitHub Copilot. If you’re new to Copilot, we recommend starting with our Getting Started or Expert Developer Training first.
Included:
Delivery options:
Course information
Expert-led instruction with live demonstrations
Hands-on exploration of Agent Mode capabilities
Access to the GitHub Copilot Agents Training Repository
Best practices guide for agentic workflows
Meet the trainers
Also interesting for you
Boost your impact by mastering how to clearly communicate technical ideas in business terms and influence stakeholders like a CTO – all in just one day.
Agentic AI introduces a new generation of systems that can plan, reason, and take actions. In this hands-on course, developers will learn how to build AI agents using modern tooling and Google Cloud Platform, exploring concepts like tool use, planning, and multi-step reasoning.
Lead AI adoption with clarity and confidence. In three days, you’ll gain the strategic insight, governance foundations, and practical tools to guide responsible AI implementation, align leadership, and turn AI ambition into measurable business impact.
