In this 2-hour project-based course, you will learn how to import data into Pandas, create embeddings with SentenceTransformers, and build a retrieval augmented generation (RAG) system with your data, Qdrant, and an LLM like Llamafile or OpenAI. This hands-on course will teach you to build an end-to-end RAG system with your own data using open source tools for a powerful generative AI application.
Introduction to Retrieval Augmented Generation (RAG)
Introduction to Retrieval Augmented Generation (RAG)
Instructor: Alfredo Deza
Access provided by Inter IKEA
5,929 already enrolled
Learn, practice, and apply job-ready skills with expert guidance
4.4
(44 reviews)
Intermediate level
Recommended experience
2 hours
Learn at your own pace
Hands-on learning
What you'll learn
Create a Retrieval Augmented Generation system
Use your own data with a Large Language Model
Skills you'll practice
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
No downloads or installation required
Only available on desktop
See how employees at top companies are mastering in-demand skills
Learn, practice, and apply job-ready skills in less than 2 hours
- Receive training from industry experts
- Gain hands-on experience solving real-world job tasks
- Build confidence using the latest tools and technologies
About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Create Embeddings
Recommended experience
Some experience with Python, including installing dependencies. Familiarity with the terminal is recommended
4 project images
Instructor
Offered by
How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
4.4
44 reviews
- 5 stars
65.90%
- 4 stars
20.45%
- 3 stars
4.54%
- 2 stars
6.81%
- 1 star
2.27%
Showing 3 of 44
JC
5
Reviewed on May 16, 2024
Good Exercise for introduction RAG by LLM and VectorDB
PP
5
Reviewed on Mar 19, 2025
It was a good entry point to the RAG's world, I hope to see more professional courses too.
ST
5
Reviewed on Oct 6, 2024
The guided project helped me understand RAG and its application in a concise and accurate manner. The project code was very helpful in understanding the workflow of implementing RAG with LLMS.
