GitHub Copilot Policy Management and Responsible AI at Scale

As generative AI tools become standard in software development, organizations must balance developer productivity with security, compliance, and ethical standards. Establishing clear guidelines and technical guardrails is essential to prevent intellectual property leaks and ensure high-quality code. This course equips you to design, implement, and manage robust policies for GitHub Copilot across your entire organization. You will transition from basic awareness of AI risks to confidently configuring enterprise-level access controls, managing public code suggestions, and maintaining strict compliance standards. What you'll learn: - Understand the core architecture, security protocols, and data privacy foundations of GitHub Copilot - Configure organization-wide policies to prevent intellectual property exposure and manage public code matching - Implement ethical AI guidelines and responsible usage frameworks tailored to modern engineering teams - Manage user access, seat provisioning, and cost optimization strategies at scale - Monitor usage metrics and establish continuous auditing processes for compliance verification You will start by exploring foundational AI governance principles before moving step-by-step through practical policy configuration, access management, and risk mitigation strategies. This course is designed for engineering managers, team leads, IT administrators, and compliance officers who are new to AI governance and want to establish secure development practices. No prior programming experience is required. Begin reading today to establish a secure and responsible foundation for AI-assisted development in your organization.