Thanks! I saw your earlier question related to working with AI at FAANG, from the context of being 30ish, and self-taught. I was around 27 when I started learning software engineering and AI.
I made a free e-book here (https://emilwallner.gumroad.com/l/no-ml-degree), and I believe most of the key points are still valid, however, when I learned software engineering and ML, ML was a rather small field and tools like chatGPT and claude didn’t exist.
Imo, asking about a curriculum is the wrong framing, for me, it was more about how to find resources to focus full-time and being in an environment that increases my motivation.
I started learning software engineering at home taking courses, but I procrastinated too much to be effective, maybe I did around 10 hours of effective learning per week. For me, studying C at 42 (https://www.42network.org/42-schools/), a free peer-to-peer school was crucial, and I recommend something similar. It enabled me to focus 70-90 hours a week, and after 6 months I was good enough to get competitive startup job offers.
During my time, the FastAI course (https://www.fast.ai/) was the best practical AI course. I'd probably spend a week looking for ambitious projects made by recent autodidacts, and ask them which course they think is best now. And spend max 1-2 months taking the course.
As for picking projects and building a portfolio, the advice in my e-book is still valid. An ambitious but realistic timeframe for landing a FAANG job is 3-5 years. Once you have a solid portfolio, I’d recommend joining say a YC-startup or similar with ex-FAANG employees to get up to speed and references. My first gig was at the YC-startup FloydHub with ex-FAANG employees.
If you are self-taught it’s often easier to get on the FAANG radar by making highly domain specific portfolio projects that are core to their business, or making open-source contributions to their projects. The other route is applying for jobs, however, most people without an ivy-level degree don’t pass the screening stage. If you choose this path, plan for at least 6 month to learn the first part of Ian Goodfellow’s book (https://www.deeplearningbook.org/) using say ChatGPT as your tutor, also grasp the key content in Chip Huyen’s books (https://huyenchip.com/), learn cracking the coding interview, and get good at solving leetcode hard problems.