In this course, you’ll learn how to design, build, and orchestrate production-ready AI agents using GitHub Copilot, Markdown-based prompts, reusable knowledge bases, and prompt engineering. Rather than building simple chatbots, you’ll create specialized AI agents that solve real-world software engineering problems. You’ll begin by creating a reusable AI agent framework, including project structure, shared instructions, language-specific prompts, coding standards, and knowledge bases that enable consistent and reliable AI-generated results.
Next, you’ll build specialized AI code review agents for Oracle PL/SQL, Python, and Java. These agents will analyze source code, enforce coding standards, compare changes with production baselines, identify deployment risks, and generate professional code review reports. Once the individual agents are complete, you’ll build a multi-agent workflow that intelligently routes requests to the appropriate specialized agent. You’ll learn how multiple AI agents collaborate to solve enterprise code review tasks while remaining modular, reusable, and easy to extend.
Throughout the course, you’ll test each AI agent independently and then validate the complete multi-agent workflow using real-world code samples. You’ll also learn how to extend the framework to support additional programming languages and enterprise automation scenarios.
