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Designing Multi-Model AI Systems: Routing, Context, and Control

7 chapters · 32 lessons

1. 1. Orchestration Fundamentals and System Architecture

   4 lessons

   Understand the core components of orchestration systems and when to use them instead of single-model approaches.

2. 2. Building Routing Logic and Decision Systems

   5 lessons

   Design and implement routing mechanisms that select the right capability for each task.

3. 3. Context Management and Retrieval Integration

   5 lessons

   Build systems that gather, filter, and inject relevant context into model requests.

4. 4. Tool Integration and Structured Actions

   4 lessons

   Connect orchestrators to external tools, APIs, and application functions with structured calling conventions.

5. 5. Guardrails, Validation, and Safety Controls

   5 lessons

   Implement checks, permissions, and validation layers that prevent unsafe or incorrect actions.

6. 6. Fallback Strategies and Error Handling

   4 lessons

   Design resilient orchestrators that recover from failures, retry intelligently, and degrade gracefully.

7. 7. Orchestration in Production: Testing, Monitoring, and Evolution

   5 lessons

   Deploy, observe, and iteratively improve orchestration systems in live environments.