Retrieval Augmented Generation (RAG) for Production with LangChain & LlamaIndex Free Course

Introducing our new comprehensive course on Retrieval Augmented Generation (RAG), brought to you by Activeloop, Towards AI, and the Intel Disruptor Initiative! We go beyond basic RAG applications, equipping you with the skills to create more complex, reliable products with tools like LangChain, LlamaIndex, and Deep Memory. Whether you're a beginner or a seasoned professional, join us to elevate your AI skills!
► Jump on our free RAG course from the Gen AI 360 Foundational Model Certification (Built in collaboration with Activeloop, Towards AI, and the Intel Disruptor Initiative): learn.activeloop.ai/courses/rag
►Twitter: / whats_ai
►My Newsletter (My AI updates and news clearly explained): louisbouchard.substack.com/
►Join Our AI Discord: / discord
#ai #rag #llm

[@awakenwithoutcoffee]

you guys are rockstars! Cheers to a healthy positive future for humanity 💫

[@mikenashtech]

Super course with industry-minded exercises and advice. Really useful. Great work Louis.

[@WhatsAI]

Thanks Mike! This is a big team effort :)

[@sayujyabhandari1933]

What is the prerequisite for this course?

[@WhatsAI]

Python knowledge! We also recommend taking the first course we released on RAG if you’ve never heard of that! But you will see this in the course. Real pre requisite is some python skills :)

[@cpng7409]

Can I use free llm instead of open AI API

[@WhatsAI]

You can in the fine tuning course but not the RAG one, though it is very cheap!

[@iloos7457]

Wait what is it completely free?

[@WhatsAI]

Yes! We have 3 completely free courses on RAG and fine tuning :)