Production-Grade Agentic GenAI Systems

Moving beyond simple prompts to autonomous, self-correcting AI workflows.

Master the transition from static LLM calls to autonomous agents that can reason, use tools, and collaborate. This course focuses on the engineering rigor required to move agentic workflows from 'cool demo' to 'production-ready infrastructure'.

Level
Advanced
Status
Available
Duration
8 Weeks
Instructor
Hoan Do (Master's from EPFL)

Curriculum

The Agentic Shift

Duration: 1h 30m

  1. From Chains to Agents — 20 min
  2. The Cognitive Architecture (ReAct) — 30 min
  3. Lab: Building a ReAct Loop from Scratch — 40 min

State & Memory (LangGraph)

Duration: 2 Hours

  1. Graphs vs. Chains — 30 min
  2. Persistence & Time Travel — 45 min
  3. Project: Customer Support Triage Bot — 45 min

Multi-Agent Orchestration (AutoGen)

Duration: 1h 45m

  1. The Team Pattern — 25 min
  2. AutoGen & Conversation Architectures — 40 min
  3. Pattern: The "Code Execution" Sandbox — 40 min

Production Challenges

Duration: 1h

  1. The Hallucination Loop — 20 min
  2. Observability (LangSmith) — 25 min
  3. Evaluation (LLM-as-a-Judge) — 15 min

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