What to Learn Next? Done with Core DL, Curious About Agentic AI

AI Discussions
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1

Hey everyone,
I’m Lakshman. I’ve completed:

  • ML Specialization
  • DL Specialization
  • TensorFlow Developer Certificate
  • TensorFlow: Data and Deployment (only did the data part)

I was about to start Advanced TensorFlow Techniques, but lately I’ve been seeing a lot about agentic AI and autonomous systems.

Now I’m a bit confused about what to focus on next. Should I continue with advanced TensorFlow or explore the agentic AI side?

Would really appreciate any guidance or suggestions. Thanks!

2

It depends on your goals.

There was a little bit of natural language processing in DLS Course 5.
If that was interesting for you, then the next step would be the NLP Specialization.

3

Thanks a lot for the suggestion!

Yes, I did find the NLP part in DLS quite interesting.
Just to understand better — is NLP an important foundation for working with agentic AI systems?

Would love to know your thoughts!

4

NLP is an important fundamental to how all large language models work (the Transformer architecture).

You might also be interested in the “Generative AI with Large Language Models”.

Agents are a higher layer functionality on top of a LLM.

There are a lot of Short Courses about using agents, but none of the Specializations discuss how to create them from scratch.

1 Like
5

Got it, thank you so much for the clarification!

I’ll go through the NLP Specialization first, then explore Generative AI with LLMs, and finally dive into agentic AI.

Appreciate the guidance!