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.
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-
7:56
01Intro Members
AI agents from first principles
Cutting through the noise.
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1:12
02Blocks Members
Block one: intelligence
The LLM call.
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1:48
03Blocks Members
Block two: memory
Persistence for stateless models.
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2:12
04Blocks Members
Block three: tools
Function calling.
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3:45
05Blocks Members
Block four: validation
Structured output.
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4:06
06Blocks Members
Block five: control
Routing with regular code.
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2:07
07Blocks Members
Block six: recovery
Handling failures.
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4:41
08Blocks Members
Block seven: feedback and next steps
Human-in-the-loop.
Jobs this course suits
Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.