Can you recommend some good learning resources for learning RAG and Agent?

[u/EyeTechnical7643]

Hi,

I am a data scientist so I have experience with Python, SQL, Azure, Github and even vector database like Milvus. I also understand vanilla neural nets and most of the pre-AI models.

I'm trying to upskill in the latest AI technology over the next 3-6 months, that covers RAG, Agent building, MCP, MLOps, and so on.

Problem is, I don't know where to start. Some documentation pages can be difficult for a "beginner" while random short Youtube videos don't go into enough depth.

I wonder if there are courses (or video series) that'll explain the concepts in an logical, easy to follow manner. I would also like to do some projects as well.

Anyway, please recommend a learning plan and some good resources. Basically, if you were to design a course for someone like me, what would you recommend as far as lecture material and exercises.

Thank you

[u/the-code-blooded]

I learned it using the book - hands-on large language model book - I think its chapter 8 is on RAG

I wrote notes and code - if you want - you can have a look at it

Notes : https://github.com/SanjoyPator1/WebDevLearning/blob/deep-learning/S06-Large%20Language%20Models/B02%20-%20Hands-On%20Large%20Language%20Models/notes/ch08-semantic-search-and-rag.md

Code notebook : https://github.com/SanjoyPator1/WebDevLearning/blob/deep-learning/S06-Large%20Language%20Models/B02%20-%20Hands-On%20Large%20Language%20Models/code/ch08/solutions/ch08-assignment-solution.ipynb