Advanced 24 hours English Professional Certificate
Our recommendation
An advanced, hands-on route into the two most in-demand GenAI skills: production RAG and autonomous agents. Across ten courses you build with the frameworks teams actually use — LangChain, LangGraph, CrewAI, AutoGen and the Model Context Protocol — rather than staying at the prompting level. Best once you already have Python and some LLM exposure.
Good for: Developers who already code and want to build production RAG systems and AI agents, backed by an IBM credential.
Less suitable if: You're new to Python or large language models — build those foundations first.
You want to build, not just understand, RAG and agents
You value an IBM-backed credential
Consider something else if you…
You're a complete beginner to AI
You only need prompting or AI literacy
You want vendor-neutral theory over hands-on frameworks
Requirements: Working PythonBasic familiarity with large language models
Realistic time: ~24 hours across a 10-course series, self-paced (about 2 months at a few hours a week)
About this course
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).
What you'll learn
Build production RAG pipelines grounded in vector databases
Design multi-agent systems that plan and call tools
Work with LangChain, LangGraph, CrewAI and AutoGen
Use the Model Context Protocol (MCP) to connect agents to tools
Apply prompt engineering and multimodal prompting in practice
Address AI security and orchestration in agentic apps
This course includes
24h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
You can audit the individual courses free on Coursera. The professional certificate requires a paid Coursera subscription (around $49/month or Coursera Plus), so cost depends on how fast you finish.
Comparison · LBS
Compare alternatives for IBM RAG and Agentic AI Professional Certificate
Same topic, different options. We surface the trade-offs others hide so you can pick the course that actually fits your time, budget, and goals.
COCoursera4.6(964)
IBM RAG and Agentic AI Professional Certificate
Price
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Free to audit · paid certificate
Duration
24 hrs
Level
Advanced
Certificate
Professional Certificate
UDUdemy4.7(36,179)
AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents
The certificate is issued by IBM and hosted on Coursera. It's a solid professional-development signal for GenAI engineering roles, though employers still weigh your projects and GitHub most heavily.
Instructor
IS
IBM Skills Network
Coursera instructor
The IBM Skills Network is IBM's education arm, which builds hands-on, lab-driven courses drawn from how IBM's own practitioners work — the reason its GenAI content leans practical rather than purely conceptual.
If you already code, yes — it's built around the exact frameworks that show up in agentic-AI job postings (LangChain, LangGraph, CrewAI, AG2) and it's genuinely hands-on. It's an advanced certificate, not a first AI course, and on its own it's a stepping stone: pair it with a project portfolio.
This is an advanced series, so working Python and prior exposure to machine learning / LLMs are real requirements, not nice-to-haves. Complete beginners should do an intro LLM or generative-AI course first, otherwise the pace will be tough.
DeepLearning.AI spans beginner to advanced and leans conceptual; this IBM certificate is narrower and more framework-heavy, focused on building production RAG and multi-agent systems with named tools. If you want depth on the engineering frameworks specifically, IBM's is the more targeted path.
LangChain, LangGraph, CrewAI, AG2 (AutoGen), BeeAI and the Model Context Protocol (MCP), plus vector databases for RAG — the stack teams use to build and orchestrate agents rather than a single library.
You can audit the individual courses free on Coursera; the professional certificate needs a Coursera subscription (around $49/month or Coursera Plus). It's a ten-course series most people finish in roughly two months at a few hours a week, self-paced.