Beginner looking to learn Hugging Face, Llamandex, LangChain, FastAPl, TensorFlow, RAG, and MCP - Where should I start?
Hi everyone,
I've recently been using tools like Lovable and Perplexity Labs, and it's honestly transforming how we work. That's why I'm interested in learning more advanced tools like:
Hugging Face, Llamalndex, LangChain, FastAPl TensorFlow, RAG (Retrieval-Augmented Generation), MCP
I'm an absolute beginner - no prior experience in programming or machine learning - but I'm highly motivated and eager to reach at least an intermediate level. I believe learning these tools can help streamline workflows, improve productivity, and ultimately make our roles more impactful. My questions are:
- How are these tools used in real-world applications?
- Are there any recommended programs, courses, or structured learning paths to get started - especially for someone without a technical background?
- In what order should I approach learning them, so it's manageable and builds on fundamentals? Any guidance, resource links, or personal experiences would be super helpful. Thanks so much in advance!
One interview, 1000+ job opportunities
Take a 10-min AI interview to qualify for numerous real jobs auto-matched to your profile 🔑
So you have absolutely no programming experience? What is your qualifications and skillsets btw? Having said that, I had myself been searching about it today, and NVidia has structured course on this. Although many of their courses are paid ones, looking at the their various learning paths, it does give a good idea. Click on “Browser Learning Paths”-
https://www.nvidia.com/en-us/training/ Also, coursera always rocks.
But frankly, I think it will be extremely difficult for someone from non-programming background to learn all these things, unless you have at least some hands-on on coding (even in College/School days).
+1
