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Video course · 8 chapters · 28 min · certificate

Building Reliable AI Agents: Core Principles and Practical Engineering

Build reliable AI agents from first principles with seven building blocks: intelligence, memory, tools, validation, control, recovery and feedback, using plain code instead of hype frameworks.

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What you'll learn

  • Understand agents from first principles
  • Manage memory for stateless LLMs
  • Use tools via function calling
  • Validate structured outputs
  • Control flow with regular code
  • Add recovery and human feedback

Chapters

8 chapters · 27:47
  1. 7:56 01Intro Members AI agents from first principles Cutting through the noise.
  2. 1:12 02Blocks Members Block one: intelligence The LLM call.
  3. 1:48 03Blocks Members Block two: memory Persistence for stateless models.
  4. 2:12 04Blocks Members Block three: tools Function calling.
  5. 3:45 05Blocks Members Block four: validation Structured output.
  6. 4:06 06Blocks Members Block five: control Routing with regular code.
  7. 2:07 07Blocks Members Block six: recovery Handling failures.
  8. 4:41 08Blocks Members Block seven: feedback and next steps Human-in-the-loop.