π Just launched a free 9-chapter course on Agentic AI Systems β built for developers, AI engineers, and anyone exploring autonomous LLM workflows.
Over the past few months, I explored how to turn LLMs into powerful, goal-driven agents. This course walks through:
β
Agent architecture (planner/executor/memory)
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Tool use & LangChain integration
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LangGraph for multi-agent systems
β
Memory handling with vector DBs
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Real-world use cases + safety tips
π Access the full course (no signup):
π https://lnkd.in/gikvaqfA
Would love your feedback or thoughts!
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