Available
AI Systems Engineering Foundations
Map a complete system, define the job and its boundaries, evaluate it, and make a release decision.
View course →Learning path · Four courses
AI Systems Engineering
Learn to turn model capability into dependable enterprise work. The path begins with a complete systems foundation, then deepens context, bounded agents, and production assurance.
The course sequence
Foundations is available now. The remaining courses show the intended progression and will open when their lessons and assessments are ready.
Planned
Context and Knowledge Systems
Engineer retrieval, source authority, freshness, memory, and provenance.
Planned
Agents and Bounded Execution
Design orchestration, tool contracts, delegation, and runtime authority.
Planned
Evaluation and Production Reliability
Build deeper evaluation, release, observability, recovery, and cost practices.
A companion in governance
AI Governance Foundations explains organizational authority, accountability, controls, and assurance. This engineering path applies those boundaries to system design and operation. It is a companion course, not a prerequisite.