Kaggle Learn
Short free interactive notebook courses in Python, machine learning and data. Great for fast practice.
Deep theory: how neural networks actually work
Who is this track for? For students, engineers and researchers who want first principles
Short free interactive notebook courses in Python, machine learning and data. Great for fast practice.
Google's free, fast-paced machine-learning course with interactive exercises. A quick gateway to the core ideas.
A 12-week, 24-lesson MIT-licensed curriculum covering symbolic AI, neural networks and language processing.
Twenty-six lessons and 52 quizzes of classic machine learning over 12 weeks, MIT licensed.
A free top-down course: build first, then dig into theory. One of the best routes to a practitioner level in deep learning.
A large free curriculum (about 300 hours per the platform) on machine learning with Python, with certification projects.
MIT's open lectures and labs on deep learning, refreshed every year. For those with some programming background.
Harvard's open course on AI concepts in Python: search, knowledge, learning. Free to watch; the verified certificate is paid.
Eight videos (about 12 hours) building neural nets and a GPT-style model from scratch. For real understanding.
MIT's undergraduate machine-learning course with open materials. Best if you are comfortable with maths.
Stanford's well-known machine-learning lecture series. Deep, and it expects linear algebra and probability.
Not sure where to start?
Find your pathA community for Arab developers and learners. Ask in Arabic or English, show what you build, and discuss the tool of the day. It is free to join.
The link opens Discord in a new tab, and you need an account there.