PromptEng 105 – Multi-Agent Systems & Advanced Use Cases

(Weeks 9–10 | Lec 4 Hrs / Lab 12 Hrs / OJT 0 Hrs | 16 Total Hrs | 0.6 Credit Hrs)
Students will:

• Develop multi-agent collaboration systems for automation
• Apply frameworks like CrewAI and ReAct
• Design task orchestration, agent memory, and inter-agent messaging
• Build advanced LLM workflows for enterprises
  Tools: CrewAI, LangChain Agents, Flowise
  Prerequisite: PromptEng 104 – Retrieval-Augmented Generation (RAG) & LLMOps