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AI Agents & Advanced GenAI Systems

Advanced

Artificial Intelligence & Generative AI · 9 lessons · 1h 16m

Beyond fixed chains: tool-calling agents, multi-agent orchestration, production-grade RAG, and the guardrails that keep agentic systems safe to ship.

What this course covers

A follow-on to the Generative AI & LangChain Bootcamp for builders ready to go past single-shot prompts — the ReAct pattern and tool/function calling, multi-agent orchestration (the ideas behind CrewAI and AutoGen), advanced RAG techniques like re-ranking and hybrid search, and the guardrails, cost controls and human-in-the-loop review real agentic systems need before they touch production.

Sana Iyer

AI/ML Engineer

aigenaiagentsadvanced

Course outline

Module 1: From Chains to Agents

📄Why agents: limitations of fixed chains and the ReAct pattern9 min
📄Tool calling and function calling in modern LLMs9 min
📄Agent memory: short-term context vs. long-term vector stores8 min

Module 2: Multi-Agent Systems

📄Multi-agent architectures: orchestrator/worker patterns9 min
📄Coordinating agents: task delegation and handoff8 min
📄Guardrails: infinite loops, cost blowouts, and unsafe actions8 min

Module 3: Production RAG & Deployment

📄Advanced RAG: re-ranking, hybrid search, and evaluation9 min
📄Deploying agents: latency, cost, and observability8 min
📄Responsible AI: hallucination mitigation and human review8 min

📝 AI Agents & Advanced GenAI Check(pass at 70%)

🔒 AI Agents & Advanced GenAI — Final Exam(proctored · 35 min · pass at 70% · camera required)

Final proctored exam — the exam screen locks immediately if you switch tabs, exit fullscreen, or lose window focus. Passing it (plus finishing every lesson) is what unlocks your certificate.

Enroll to unlock the exam.