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Self-Improving AI Systems

Course wrap-up

Lessons

  1. 1. What self-improvement means
  2. 2. The dual-loop architecture
  3. 3. Prompt versioning and experimentation
  4. 4. Automated Prompt Engineering (APE)
  5. 5. Production prompt optimization
  6. 6. Structured Execution Logging
  7. 7. Failure Analysis and Pattern Extraction
  8. 8. Automated Harness Patching
  9. 9. Principle Extraction
  10. 10. Workflow Topology Evolution
  11. 11. Memory-Driven Evolution
  12. 12. Governance of Self-Modifying Systems
  13. 13. Capstone: Building a Self-Improving System
  14. Key takeaways
  15. How to get certified
  16. Your certificate

Your certificate

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