virbahu/sc-ai-agents-for-beginners
12 Lessons - Build autonomous AI agents for supply chain planning procurement and logistics
Covers sense-reason-act-learn loops with LLM reasoning, tool integration (ERP/WMS APIs, optimization engines), and stateful memory systems. Delivered as 12 interactive Jupyter notebooks progressing from agent fundamentals through multi-agent orchestration, human-in-the-loop design, and production deployment. Targets Python 3.9+ environments with hands-on exercises across demand planning, procurement, logistics routing, and RL-based inventory replenishment.
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Mar 25, 2026
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