Really great advice above! 🙌
I'll just add in some more for the resources.
• Hugging face has some great free courses that you can follow at your own pace, they're releasing new parts of the agents one:
https://huggingface.co/learn
•
Deeplearning.ai (on coursera too) has longer specializations like CM mentioned, but they also have a lot of new short courses for free that are new and have cutting edge content usually from AI tool companies.
•
datacamp has a lot of good looking newer AI content if you like their platform/teaching style.
•
Udacity has a lot of AI/ML content as well. Some of it used to be free, but you can also pay and get code reviews (and maybe mentorship still?)
• I've read a lot of books recently as part of
#C06AAG8LU9M and they have been great! If you're looking for LLM content I really like
Building LLMs for production as a practical start,
Build a Large Language Model (From Scratch) for a deeper dive on how LLMs actually work, and
AI Engineering for going deeper into the theory of practices around AI engineering.
I used to work at programming bootcamp and when people asked what we taught that they couldn't learn for free online, I would say "nothing" 😂. Sometimes paying for the structure, accountability and access to mentors can really help accelerate your learning.
I usually recommend starting with free materials around the subjects you're interested in and feeling out if having more structure from one of the paid MOOCs is something you'd benefit from!
Also most companies building tools in the AI space do free events which are usually very educational even if you don't end using the exact product.