TensorTrack
Master AI Engineering. Step-by-Step.
While learning AI, I spent more time searching for resources than actually learning.
Every topic had dozens of tutorials, courses, blogs, and YouTube videos. The information was scattered, and it was hard to know what was worth learning next.
So I built TensorTrack.
TensorTrack is a platform that organizes AI learning resources into structured learning paths covering topics such as:
Machine Learning
Deep Learning
LLMs
AI Agents
Computer Vision
NLP
MLOps
The goal isn't to create more content. It's to help learners find the right content faster and follow a clear roadmap.
I'd love feedback from founders, engineers, and AI practitioners:
What was the hardest part of learning AI for you?
What features would make a platform like this genuinely useful?
Would you prefer curated roadmaps, project-based learning paths, or both?
You can check it out here:
https://tensor-track.vercel.app/
Looking forward to your thoughts and suggestions. 🚀
1 Comment
What caught my attention is that the entire product seems to follow from a very specific interpretation of the problem.
That may end up being exactly right.
I just find it interesting because once that interpretation changes, a lot of downstream product decisions can change with it.