Governing AI-Generated Code with GitHub Copilot

As AI assistants like GitHub Copilot become standard in software development, ensuring the security, licensing compliance, and quality of AI-generated code is more critical than ever. This course guides you through the foundational concepts of managing, auditing, and governing AI-assisted code to maintain robust development standards. You will transition from simply writing AI prompts to establishing structured validation and governance workflows. By reading through clear explanations and practical code scenarios, you will understand how to set up automated checks, review AI suggestions for security vulnerabilities, and ensure compliance with software licensing. What you'll learn: - Understand the core principles of AI code generation and the unique risks of AI-assisted development - Configure GitHub repository settings and branch protections to govern AI-generated contributions - Validate and audit code suggestions for security flaws and licensing compliance issues - Set up automated workflows using GitHub Actions to scan and verify AI-generated code - Apply prompt engineering governance to improve the reliability and safety of AI outputs - Implement modern software supply chain security practices tailored for AI-assisted projects The course begins with foundational definitions of AI code generation and governance before moving into practical configuration, security auditing, and automated validation workflows. You will learn to integrate these safety checks seamlessly into your daily development routines. This course is designed for beginner developers, team leaders, and DevOps enthusiasts who want to adopt AI coding tools safely. No prior experience with AI governance or advanced security tools is required. Start reading today to build secure, compliant, and reliable software in the age of AI.