Learn LLM Path / pillar 5 of 10
Deeper track: heavier resources for job-ready depth. Concepts you already checked stay checked.
understand agents from first principles (vendor-neutral) before frameworks. Andrew Ng's course is the backbone
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Agent vs workflow; ReAct loop KEY
AI Agents, Clearly Explained - Jeff Su ↗videoDEEP10m
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ReAct in practice
ReAct Agents, clearly explained - Akshay Pachaar ↗videoDEEP6m
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4 patterns + evals (whole course) KEY
Agentic AI - Andrew Ng, DeepLearning.AI ↗videoDEEP7h45m
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Reflection / Tool use / Planning / Multi-agent
Same course, Modules 2/3/1/5 · notes repo ↗repoDEEPincl.
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Build 8 agent projects
Ed Donner - Agentic AI Engineering (repo) ↗repoDEEPUdemy