This course provides a hands-on introduction to building intelligent AI agents using Microsoft’s AI Toolkit alongside GitHub Copilot. Designed for developers and technical learners, the course walks through the complete agent development lifecycle—from environment setup to evaluation and optimization.

Learners will start by configuring their development environment and exploring model recommendations to select the right AI models for specific use cases. The course then moves into generating agent code with GitHub Copilot, creating agents that can use tools, and adding tracing to better understand agent behavior and execution flow. These steps help developers build more reliable, transparent, and maintainable AI systems.

The course also covers how to evaluate agent outputs, measure performance, and refine results to ensure quality and consistency. Rather than focusing on theory alone, the content emphasizes practical workflows and real-world development scenarios commonly faced by AI and software engineers.

By the end of the course, learners will have a solid understanding of how to use AI Toolkit and GitHub Copilot together to accelerate development, reduce boilerplate coding, and confidently build and manage AI agents in modern applications.