Skill
Agent frameworks in practice
One framework deeply, several comparatively: loops, tool wiring, memory and tracing — and how to debug an agent run from its logs.
Do these first
What you will be able to do
- Build an agent loop with step limits and structured tools
- Trace and replay a failing agent run
- Compare frameworks on observability and control, not hype
Curated resources
Start with the pick, then branch out
Scores are LearnPath editorial opinions (clarity, cost, freshness, project density) — not an objective ranking. Every YouTube item is embedded officially after a click-to-load facade.
3h 10mLearnPath pickLearnPath pickyoutube courseintermediate
LangGraph Complete Course for Beginners – Complex AI Agents with Python
freeCodeCamp.org3h 10m
Three hours building agents as explicit graphs — state, nodes, edges, conditional routing, persistence. LangGraph forces the control flow to be visible, which is exactly the skill that separates reliable agents from prompt spaghetti.
Score 83
Watch
2h 24mBest for beginnersMore curatedyoutube coursebeginner
Agentic AI Crash Course using LangChain | LangChain Crash Course
codebasics2h 24m
A 2026 LangChain crash course — two and a half hours — covering chains, tools, agents and memory with current library versions. Useful as the framework tour, best taken after understanding the underlying tool-calling loop.
Score 82
Watch
48 minOfficial docsMore curatedyoutube videointermediate
Build Hour: Agents SDK
OpenAI48 min
OpenAI's own May 2026 build hour on the Agents SDK — the vendor-official walkthrough of agents, handoffs, guardrails and tracing. Included as the official reference point for the category.
Score 79
Watch