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Course 3: Advanced Agentic AI
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What you will learn
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(a) Choose an agent framework with clear criteria (LangGraph, CrewAI, and others)
(b) Build planning loops that monitor, replan, and abstain when evidence is missing
(c) Apply ReAct, Algorithm of Thoughts, and evaluator-optimizer to specific failure modes
(d) Coordinate multiple agents with supervisor, maker-checker, and peer protocols
(e) Design interfaces and approval flows for human-agent collaboration
Why take it
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(a) Moves you from single agent loops to multi-agent systems
(b) Every pattern is measured for its cost in API calls, latency, and reliability
What makes it unique
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(a) Patterns are matched to the failure they fix, not presented as a catalog
(b) Final module is optional for non-developers
