Hands-On AI: Build a RAG Model from Scratch with Open Source
With Dr. Alaa Moussawi
Liked by 9 users
Duration: 2h 21m
Skill level: Advanced
Released: 10/15/2025
Course details
In this hands-on course, physicist and educator Dr. Alaa Moussawi guides you toward mastery of Retrieval-Augmented Generation (RAG) models. Learn to construct your own custom AI bots by integrating vector databases with language models for contextually accurate responses. Explore essential concepts such as vector embeddings, query processing, and prompt engineering. Learn how to optimize your resources by running lightweight models efficiently, even on limited hardware. Find out how to generate effective vector embeddings and extract relevant information from diverse data sources. Benefit from the flexibility of open-source software as you adapt the models to specific domains or styles, while customizing the knowledge base of your bot. Keep innovating and pushing boundaries with retrieval-augmented intelligence and join the vibrant open-source community in this exploratory learning adventure.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
LinkedIn Learning
Certificate of Completion
-
Showcase on your LinkedIn profile under “Licenses and Certificate” section
-
Download or print out as PDF to share with others
-
Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
Contents
What’s included
- Learn on the go Access on tablet and phone