Learn LLM Path / pillar 5 of 10
Free track: every swapped resource costs $0. Concepts you already checked stay checked.
understand agents from first principles (vendor-neutral) before frameworks. Andrew Ng's course is the backbone
- Sign in to track this item
Agent vs workflow; ReAct loop KEY
AI Agents, Clearly Explained - Jeff Su ↗videoFREE10m
- Sign in to track this item
ReAct in practice
ReAct Agents, clearly explained - Akshay Pachaar ↗videoFREE6m
- Sign in to track this item
4 patterns + evals (whole course) KEY
Agentic AI - Andrew Ng, DeepLearning.AI ↗videoFREE7h45m
- Sign in to track this item
Reflection / Tool use / Planning / Multi-agent
Same course, Modules 2/3/1/5 · 🟢 notes reporepoFREEincl.
- Sign in to track this item
Build 8 agent projects
AI Agents in LangGraph - DeepLearning.AI + 🔵 Building Agentic RAG with LlamaIndex - DeepLearning.AIvideoFREE~2h + ~1.5h