Participants will learn how agentic AI systems plan, use external tools, execute workflows with several steps, observe results, and revise their actions. The program introduces the Plan, Act, Observe, and Reflect reasoning cycle, followed by a multiagent architecture exercise based on challenges from participants’ fields. A guided cloud activity will demonstrate how to assemble a working agent pipeline without requiring local setup or an advanced background in machine learning. Governance, auditability, and responsible deployment will also be discussed.

Presenters: Satya Prakash, Rohan Shahane, and Avimanyou Vatsa 

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