Nybble™
All courses

Guided Course

buildcodearchitecture

AI Agents in Production

From the agent loop to multi-agent systems — LangGraph, MCP, tool calling, memory, and the guardrails that make agents safe to ship.

0/16
Start course
16 lessons
  1. 1. The agent loop8 min
  2. 2. Tool calling and function calling7 min
  3. 3. The Model Context Protocol (MCP)6 min
  4. 4. LangGraph fundamentals6 min
  5. 5. State Management and Memory7 min
  6. 6. Human-in-the-Loop7 min
  7. 7. Error Handling and Resilience8 min
  8. 8. Multi-Agent Architectures9 min
  9. 9. Building a multi-agent system7 min
  10. 10. Agent-to-Agent Protocol (A2A)8 min
  11. 11. Planning and reasoning patterns8 min
  12. 12. Agent evaluation9 min
  13. 13. Guardrails and Safety8 min
  14. 14. Observability and Debugging7 min
  15. 15. Deploying Agents7 min
  16. 16. Capstone — A Production Agent System8 min

About Nybble™

The AI space moves fast.
Nybble™ is how you keep up — and stay sharp.

Snack

What happened. In two minutes.

The AI news cycle moves at a pace no one can keep up with. Snack distills what launched, what shipped, and what matters — every day, without the filler.

Go to Snack
Stack

The concepts behind the headlines.

News tells you what. Stack tells you why and how. From RAG architectures to agentic evals, these are the ideas that will shape what you build next.

Go to Stack
Hack

Prove you actually get it.

Reading about LangChain is not the same as knowing it. Hack challenges you with production-grade questions, then shows you the references that make the answer stick.

Go to Hack