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RAG and Agentic AI Capstone Project

Demonstrate you have the job-ready skills to design and implement a complete AI system from data to deployment, with this portfolio-worthy RAG and Agentic AI Capstone Project from IBM. You’ll design and build a production-style multimodal RAG system that combines structured data, embeddings, retrieval logic, evaluation strategies, and intelligent workflows into one cohesive, scalable solution. You’ll create and manage structured JSON datasets, generate text and image embeddings, and construct a vector database to power accurate similarity search and metadata-filtered retrieval. As you progress, you’ll implement robust RAG pipelines, apply re-ranking and evaluation techniques, and strengthen response quality using multimodal inputs and systematic validation approaches. You’ll also design a multi-agent recommendation system, integrate tools using the Model Context Protocol (MCP), orchestrate workflow testing, and launch an interactive Gradio chatbot interface. By the end, you’ll have developed an end-to-end generative AI application that demonstrates practical AI engineering expertise, architectural thinking, and production-ready implementation skills.

Status: Agentic Workflows

Status: Retrieval-Augmented Generation

AdvancedCourse14 hours

Featured reviews

5.0

Reviewed Jun 20, 2026

This is a great course, which gives you hands on experience on a large RAG based orchestration and ending with creation and Execution of MCP (Server, Client and Host)

All reviews

Showing: 13 of 13

Jitesh

5.0

Reviewed Sep 15, 2026

Excellent course with a very practical and hands-on approach to RAG and Agentic AI. The capstone project helped me understand how to apply concepts such as vector databases, embeddings, LangChain, LangGraph, and multi-agent workflows in a real-world context. I particularly appreciated the project-based learning and the opportunity to build and evaluate an AI solution. A valuable course for anyone looking to move beyond theory and gain practical experience in Generative AI, RAG, and agentic systems.

Sathya

5.0

Reviewed Jun 21, 2026

This is a great course, which gives you hands on experience on a large RAG based orchestration and ending with creation and Execution of MCP (Server, Client and Host)

Jurijs

5.0

Reviewed May 14, 2026

Good material, excelent examples in the labs

ansh

5.0

Reviewed Aug 25, 2026

Thanks for best cource

Abdellatif

5.0

Reviewed Jul 24, 2026

it was really fun

Sheeba

5.0

Reviewed May 22, 2026

Thank you!

Suchit

5.0

Reviewed Jul 29, 2026

good

Cibi

5.0

Reviewed Jun 21, 2026

Good

kenLovesToCode

5.0

Reviewed Apr 8, 2026

Nice

Oliver

4.0

Reviewed May 19, 2026

This is a great course. As the topic has been evolving a lot the last 2 years, some of the material particularly source code is already a bit out-dated. The programming assignments are very interesting, however they are a bit too easy, as many key implementations are provided. Still altogether a very good experience.

Pavel

1.0

Reviewed Apr 7, 2026

Really poor quality of tasks, documentation, and supplied code templates. They need deep rework/or even redone from scratch. I have a feeling that the entire project code for us was created by removing parts of some original solution (known to the Capstone project authors) and putting placeholders like 'do this/do that' instead. So, lots of time taken just to guess what was the original idea and code, and what author meant by the supplied code structure/tasks. I write code for 20 years, but this is a student level really. Unenrolling the project and cancelling my Coursera subscription. Sorry, guys, this is not the level of IBM. Not worth time spent. WIll try visit this course in 6-12 months in hopes that it is fixed.

Esko

1.0

Reviewed Apr 12, 2026

The lab for coding assignments is not opening. The browser console shows “failed to start tool” errors. This prevents completing the course, as screenshots from the coding exercises are required.

ZShen

1.0

Reviewed May 25, 2026

Some code cells in lab Jupyter notebook can't even run. How am I suppose to obtain the results and screenshots for the final graded quiz if I can't even complete the lab sessions?