fast.ai's famous top-down deep learning course for people who can already code.
No certificateAI & Machine Learning
14 hrsIntermediate
MIT 6.S191: Introduction to Deep Learning
MIT's fast-paced bootcamp on deep learning, refreshed each year, with free lectures and labs.
Taught byMassachusetts Institute of TechnologyAbout this course
An intensive course from MIT with lectures and software labs, open-sourced for free. The 2026 edition covers deep learning basics, sequence models, computer vision, generative models, reinforcement learning, new frontiers, AI for science and large-scale training.
Best for: Technical learners wanting an up-to-date deep learning overview.
What you will be able to do
- Explain core deep learning architectures
- Build sequence and vision models
- Understand generative models
- Follow current research directions
Syllabus and your progress
Tick modules off as you finish them on Massachusetts Institute of Technology.
0 of 6 modules done
Plan your pace
At 4 hours a week you would finish in about 4 weeks, using the course time estimate above.
Progress is saved in this browser only. No account needed.
Cost and certificate
No certificate
Materials are free; there is no public certificate.
Before you start: Calculus, linear algebra and Python
Massachusetts Institute of Technology sets the terms and can change them. Check the course page before you commit serious time, and tell us if something changed.
Quick answers
- Is MIT 6.S191: Introduction to Deep Learning really free?
- Yes, the course material is free on Massachusetts Institute of Technology. Materials are free; there is no public certificate.
- How long does MIT 6.S191: Introduction to Deep Learning take?
- Plan for about 15 hrs in total (Nine lectures plus labs in the 2026 edition; hours are an estimate.). It is video lectures, so you can go faster or slower.
- Do I need experience before MIT 6.S191: Introduction to Deep Learning?
- It helps to have: Calculus, linear algebra and Python.
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