IBM RAG and Agentic AI Professional Certificate

Across ten courses you build with the frameworks teams actually use in production — LangChain, LangGraph, CrewAI, AutoGen and the Model Context Protocol — rather than staying at the prompting level. That production focus and framework breadth are what set it apart from the many introductory agent courses; it's aimed at people ready to build real systems, not to meet the concepts for the first time.

The prerequisite is real: you'll want Python and some LLM exposure already, so build those foundations first if you don't have them. It's a serious commitment across ten courses.

Audit the individual courses free on Coursera; the IBM professional certificate needs a paid subscription (around $49/month or Coursera Plus), so the cost depends on your pace. The certificate is a solid signal for GenAI engineering roles, though employers will still look hardest at the systems you've actually built (as of 2026).

The IBM RAG and Agentic AI Professional Certificate is a ten-course series that goes past prompting into the engineering work behind real GenAI products — retrieval-augmented generation grounded in vector databases, and multi-agent systems that plan, call tools and act. You build with the frameworks teams actually use: LangChain, LangGraph, CrewAI, AutoGen (AG2), BeeAI and the Model Context Protocol (MCP).