Developing in Agentic AI Systems
Microsoft Learn
A credible, official training path that bridges the gap between agent theory and production software development practice.
September 14, 2026
Software engineers building AI agents into development workflows
About
This course teaches practical skills for developing, deploying, and managing agentic AI systems within software development workflows. It covers agent architecture design, tool and environment configuration, memory and state management, performance optimization, governance, guardrails, and coordination patterns. The curriculum integrates AI agents directly into the software development lifecycle.
Who is it for
Intermediate developers and engineers looking to build and ship AI agents as part of their coding practice. Best suited for teams adopting agentic patterns in production development environments.
GitHub-Native Agentic AI Development
Microsoft's official training directly addresses how to embed agents into real software development workflows, not theory. The focus on SDLC integration, governance, and state management reflects production needs, making this immediately applicable.
What you learn
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