Building Agentic AI Apps with GitHub Copilot SDK

Strong agentic AI engineering starts with judgment: knowing when an agent beats a simple prompt, and how the runtime beneath it works. This course builds that foundation with the GitHub Copilot SDK. You'll evaluate real tasks for agentic automation, stand up an SDK development environment, build a working single-task agent, and trace the SDK's internal runtime to debug with confidence. By the end, you'll be able to: - Evaluate tasks for agentic automation vs. prompt-response approaches - Configure and initialize a Copilot SDK development environment - Build single-task agents using the SDK's agentic loop - Analyze the SDK's JSON-RPC runtime to diagnose issues You'll work hands-on with the GitHub Copilot SDK (Python and Node.js/TypeScript), the GitHub Copilot CLI, VS Code, and Git/GitHub. This course is intended for learners with at least 2 years of programming experience in Python or Node.js/TypeScript, with familiarity with Git workflows, REST APIs, and command-line tools. No prior experience with AI agents or the Copilot SDK is required. This course is designed for: - Software developers and ML engineers who want to build agentic AI applications. - Technical professionals with at least 2 years of programming experience in Python or Node.js/TypeScript. - Developers who are comfortable working with REST APIs, Git workflows, and command-line tools. - Professionals who want to understand when to use agentic AI and begin building agents with the GitHub Copilot SDK. No prior experience with AI agents or the GitHub Copilot SDK is required.

Technical skill opens doors; knowing how to present it gets you through them. This short course helps you turn your agentic AI development experience into career momentum. You'll learn to articulate your skills for AI engineering roles, assemble targeted application materials, build a portfolio that proves what you can do, and practice the technical interviews these roles require. By the end, you'll be able to: - Articulate your agentic AI skills for AI engineering roles - Prepare targeted resumes and application materials - Build a technical portfolio showcasing agent projects - Practice demonstrating expertise in technical interviews This course focuses on career strategy and communication rather than new tooling; you'll showcase work built across the program.

Hard problems break single agents. This course shows how specialized agents collaborate and operate in real applications at enterprise scale using the GitHub Copilot SDK. You'll route tasks across models by complexity, cost, and latency; design multi-agent architectures with collaborating sub-agents; embed the SDK into an application with event-driven triggers; and validate workflows through integration testing. By the end, you'll be able to: - Implement model routing by task complexity, cost, and latency - Design multi-agent architectures with specialized sub-agents - Embed the Copilot SDK into apps with event-driven triggers - Validate domain workflows through integration testing You'll use the GitHub Copilot SDK (Python and Node.js/TypeScript), MCP servers, the GitHub Copilot CLI, VS Code, and Git/GitHub.

A prototype that runs on your laptop isn't a product. This course covers what makes agent systems deployable: automated testing, observability, security, and governance, built with the GitHub Copilot SDK. You'll write test suites against mocked sessions, instrument agents with telemetry to catch behavioral drift, design security with sandboxing and RBAC, and ship a production-ready capstone that integrates every program skill. By the end, you'll be able to: - Create automated test suites using mocked sessions - Implement telemetry and logging to diagnose behavioral drift - Design security with sandboxing, RBAC, and compliance controls - Build and document a production-ready agent system Tools include the GitHub Copilot SDK, pytest, Jest, OpenTelemetry, Docker, MCP servers, VS Code, and Git/GitHub.

Strong agentic AI engineering starts with judgment: knowing when an agent beats a simple prompt, and how the runtime beneath it works. This course builds that foundation with the GitHub Copilot SDK. You'll evaluate real tasks for agentic automation, stand up an SDK development environment, build a working single-task agent, and trace the SDK's internal runtime to debug with confidence. By the end, you'll be able to: - Evaluate tasks for agentic automation vs. prompt-response approaches - Configure and initialize a Copilot SDK development environment - Build single-task agents using the SDK's agentic loop - Analyze the SDK's JSON-RPC runtime to diagnose issues You'll work hands-on with the GitHub Copilot SDK (Python and Node.js/TypeScript), the GitHub Copilot CLI, VS Code, and Git/GitHub. This course is intended for learners with at least 2 years of programming experience in Python or Node.js/TypeScript, with familiarity with Git workflows, REST APIs, and command-line tools. No prior experience with AI agents or the Copilot SDK is required. This course is designed for: - Software developers and ML engineers who want to build agentic AI applications. - Technical professionals with at least 2 years of programming experience in Python or Node.js/TypeScript. - Developers who are comfortable working with REST APIs, Git workflows, and command-line tools. - Professionals who want to understand when to use agentic AI and begin building agents with the GitHub Copilot SDK. No prior experience with AI agents or the GitHub Copilot SDK is required.