GitHub Certified: Agentic AI Developer (GH-600)

This course focuses on developing production-ready agentic AI systems that operate within GitHub-driven software development workflows. Learners explore agent architecture, tool integration, memory and execution management, evaluation techniques, multi-agent coordination, and governance practices using GitHub as the system of record and control plane.

Prerequisites for GitHub Agentic AI Developer Training

• Software Development Lifecycle (SDLC) Fundamentals
• GitHub Workflows and Repository Management
• GitHub Copilot Fundamentals
• AI Coding Agents
• Model Context Protocol (MCP) Fundamentals
• Agent Customization Fundamentals

What Will You Learn

• Prepare Agent Architectures for the SDLC
• Configure GitHub Agent Workflows
• Implement Tool Use and Environment Interaction
• Integrate Model Context Protocol (MCP) Servers
• Manage Agent Memory, State, and Execution
• Configure Custom AI Agents
• Evaluate and Improve Agent Performance
• Analyze Agent Errors and Outputs
• Orchestrate Multi-Agent Workflows
• Implement AI Guardrails and Human-in-the-Loop Controls
• Govern AI Agents with GitHub Controls
• Build Production-Ready Agentic AI Solutions on GitHub

Tools and Technologies Covered

• GitHub Copilot
• GitHub Models
• GitHub Actions
• GitHub Codespaces
• GitHub MCP Server
• Model Context Protocol (MCP)
• GitHub Agent Mode
• GitHub Repository Rules
• GitHub Pull Requests
• GitHub Issues
• GitHub Security Features
• Visual Studio Code

Who Should Do This Course

• Software Developers
• AI Application Developers
• GitHub Copilot Users
• Full-Stack Developers
• Backend Developers
• DevOps Engineers
• Platform Engineers
• AI Engineers
• Machine Learning Engineers
• Solutions Architects
• Technical Leads
• Developers Building AI Agents