GHAGENTSICInnovator ClassIC-GHAGENTS1.0<ul> <li>Experience with software development at a professional level</li><li>A GitHub Copilot license with a credit allowance, or a configured bring-your-own-key (BYOK) endpoint. Usage-based billing makes this a required setup step, not an optional one.</li></ul><ul> <li>Software Engineers interested in leveraging AI agents to enhance their coding productivity and capabilities</li><li>Software Architects looking to understand how to integrate and manage AI agents within software development lifecycles</li><li>Team Leads and Managers aiming to explore how AI agents can be utilized to optimize team workflows and project outcomes</li></ul><h5>Module 1: GitHub Copilot Fundamentals &amp; Agent Mode Basics</h5><ul> <li>Getting Started with Copilot &amp; Vision</li><li>Selecting &amp; Configuring Models</li><li>AI-Assisted Coding Essentials</li><li>Agent Mode Basics</li><li>Pull Requests &amp; Code Reviews</li><li>Configuring &amp; Governing Copilot</li><li>Working in the Terminal</li></ul><h5>Module 2: GitHub Copilot Agentic Harness</h5><ul> <li>Shaping Copilot with Instructions</li><li>Reusable Prompt Workflows</li><li>Model Context Protocol &amp; MCP Registry</li><li>Custom Agents <ul> <li>Agents Overview</li><li>Repository Agents</li><li>Claude Agents</li></ul></li><li>Reusable Domain Knowledge with Skills</li><li>Distributing Capabilities with Plugins</li><li>Giving Copilot Memory</li><li>Context Window Optimization &amp; Prompt Caching</li><li>GitHub Copilot Hooks</li></ul><h5>Module 3: Implementing Agentic Coding</h5><ul> <li>Subagents as Subject-Matter Experts</li><li>Deep Research with /research</li><li>Multi-Agent Orchestration</li><li>Delegating Tasks to Cloud Agents</li><li>Agentic Browser Automation</li><li>Upgrading &amp; Modernization</li></ul><h5>Module 4: Agent Sessions</h5><ul> <li>The Agents Window</li><li>Agent Host Protocol (AHP vs ACP)</li><li>Remote Agent Sessions over SSH &amp; Dev Tunnels</li><li>Session Management</li><li>Session Persistence &amp; /chronicle</li><li>Troubleshooting Agent Sessions</li></ul><h5>Module 5: GitHub Copilot CLI</h5><ul> <li>GitHub Copilot CLI</li><li>Business Case: HR Document Updates Automation</li><li>GitHub Agentic Workflows</li><li>Extending the CLI with MCP Servers &amp; Skills</li><li>Codebase Q&amp;A and Onboarding</li></ul><h5>Module 6: GitHub Copilot SDK</h5><ul> <li>GitHub Copilot SDK</li><li>Building Agents with Custom Tools</li><li>Implementing &amp; Using MCP Apps</li><li>Deploying an SDK Agent to Azure</li><li>Building a Multi-Agent System</li></ul><h5>Module 7: GitHub Copilot App</h5><ul> <li>Meet the Desktop Agents App</li><li>Sessions from Issues, Prompts &amp; Pull Requests</li><li>The Validation Loop</li><li>Scheduled Automations</li><li>Syncing Skills &amp; MCP Servers</li></ul><h5>Module 8: Agentic DevOps</h5><ul> <li>Testing using Copilot</li><li>Documentation using Copilot</li><li>Automation using Azure CLI</li><li>Infrastructure as Code (azd, Bicep &amp; Terraform)</li><li>Azure DevOps Pipelines &amp; GitHub Actions</li></ul><h5>Module 9: Governance, Cost &amp; Observability</h5><ul> <li>Trust, Safety &amp; the Permission Model</li><li>Cost Model &amp; AI Credits</li><li>Cutting Token Cost with Open-Source Models <ul> <li>Using Open-Source Models in VS Code</li><li>Using Open-Source Models in the Copilot CLI</li></ul></li><li>Enterprise Policy &amp; Managed Settings</li><li>Observability with OpenTelemetry</li><li>EU AI Act, GDPR &amp; Accessibility Compliance</li></ul><h5>Module 10: Spec-Driven Development &amp; Delivery</h5><ul> <li>Why Spec-Driven Development</li><li>Spec-Driven Workflow</li><li>Constitution, Specification and Technical Plan</li><li>From Tasks to Working Code</li><li>Getting Started with GitHub Spec Kit</li><li>Sample Case: Implement a Product Feature</li></ul>- Experience with software development at a professional level - A GitHub Copilot license with a credit allowance, or a configured bring-your-own-key (BYOK) endpoint. Usage-based billing makes this a required setup step, not an optional one.- Software Engineers interested in leveraging AI agents to enhance their coding productivity and capabilities - Software Architects looking to understand how to integrate and manage AI agents within software development lifecycles - Team Leads and Managers aiming to explore how AI agents can be utilized to optimize team workflows and project outcomesModule 1: GitHub Copilot Fundamentals & Agent Mode Basics - Getting Started with Copilot & Vision - Selecting & Configuring Models - AI-Assisted Coding Essentials - Agent Mode Basics - Pull Requests & Code Reviews - Configuring & Governing Copilot - Working in the Terminal Module 2: GitHub Copilot Agentic Harness - Shaping Copilot with Instructions - Reusable Prompt Workflows - Model Context Protocol & MCP Registry - Custom Agents - Agents Overview - Repository Agents - Claude Agents - Reusable Domain Knowledge with Skills - Distributing Capabilities with Plugins - Giving Copilot Memory - Context Window Optimization & Prompt Caching - GitHub Copilot Hooks Module 3: Implementing Agentic Coding - Subagents as Subject-Matter Experts - Deep Research with /research - Multi-Agent Orchestration - Delegating Tasks to Cloud Agents - Agentic Browser Automation - Upgrading & Modernization Module 4: Agent Sessions - The Agents Window - Agent Host Protocol (AHP vs ACP) - Remote Agent Sessions over SSH & Dev Tunnels - Session Management - Session Persistence & /chronicle - Troubleshooting Agent Sessions Module 5: GitHub Copilot CLI - GitHub Copilot CLI - Business Case: HR Document Updates Automation - GitHub Agentic Workflows - Extending the CLI with MCP Servers & Skills - Codebase Q&A and Onboarding Module 6: GitHub Copilot SDK - GitHub Copilot SDK - Building Agents with Custom Tools - Implementing & Using MCP Apps - Deploying an SDK Agent to Azure - Building a Multi-Agent System Module 7: GitHub Copilot App - Meet the Desktop Agents App - Sessions from Issues, Prompts & Pull Requests - The Validation Loop - Scheduled Automations - Syncing Skills & MCP Servers Module 8: Agentic DevOps - Testing using Copilot - Documentation using Copilot - Automation using Azure CLI - Infrastructure as Code (azd, Bicep & Terraform) - Azure DevOps Pipelines & GitHub Actions Module 9: Governance, Cost & Observability - Trust, Safety & the Permission Model - Cost Model & AI Credits - Cutting Token Cost with Open-Source Models - Using Open-Source Models in VS Code - Using Open-Source Models in the Copilot CLI - Enterprise Policy & Managed Settings - Observability with OpenTelemetry - EU AI Act, GDPR & Accessibility Compliance Module 10: Spec-Driven Development & Delivery - Why Spec-Driven Development - Spec-Driven Workflow - Constitution, Specification and Technical Plan - From Tasks to Working Code - Getting Started with GitHub Spec Kit - Sample Case: Implement a Product Feature4 jours2490.002490.002490.002490.002490.00