One of my goals by the end of the year is to become more of a specialist in AI. My first attempt was “I’ll create a gem/project that will be my tutor”. It didn’t go that well.
After poking around a bit, I landed on Stanford’s free videos, and from what I’m reading/seeing, they’re still one of the best references.
I plan to watch:
- machine learning (cs229) - both of them
- deep learning and deep learning for computer vision
- LLMs
- Transformers
- Agentic AI
- Reinforcement learning
- Deep generative models
And in parallel, I’ll watch statistical learning with Python, which has shorter classes.
Has anyone watched them? Are they worth it? I plan to report as I go and create a NotebookLM — split by topic, I think.
This is so I have a public commitment, and some public shaming if I don’t do it. Let’s see if I learn something :)
Originally written in Portuguese and published on LinkedIn on September 24, 2025. I translated it into English with the help of AI (Claude): it let me bring my LinkedIn posts to people who don’t read Portuguese without rewriting each one from scratch. I reviewed the translation to keep my original meaning and tone.