MIT posts free Intro to Deep Learning

Deep learning is a way to train software by showing it large amounts of data, much like learning from examples instead of hand-written rules. Massachusetts Institute of Technology is now posting free 2026 lectures from its long-running Introduction to Deep Learning course online week by week. (introtodeeplearning.com) The course site says the 2026 online edition began March 30, 2026, with new lectures, slides, and labs released every Monday at 10 a.m. Eastern time. Lecture 1, “Intro to Deep Learning,” is posted, and Lecture 2, “Deep Sequence Modeling,” is scheduled for April 6, 2026. (introtodeeplearning.com) Sequence modeling is the branch of artificial intelligence that handles ordered data such as text, speech, and music, where one token depends on the ones before it. The 2026 schedule pairs that topic with a Python lab on music generation, and later weeks list computer vision, generative modeling, reinforcement learning, and fine-tuning a large language model. (introtodeeplearning.com) The course is MIT 6.S191, an introductory program run through the Massachusetts Institute of Technology and taught in person on campus before being open-sourced online. The site says the 2026 in-person edition has completed and that the class was held in Room 32-123 at MIT. (introtodeeplearning.com) MIT describes the class as a fast bootcamp rather than a full semester survey, with prerequisites of calculus, linear algebra, and helpful but not required Python experience. The course page says students build neural networks and study applications in natural language processing, computer vision, biology, large language models, and generative artificial intelligence. (introtodeeplearning.com; ocw.mit.edu) The material is free to access in the Massachusetts Institute of Technology’s broader open-course ecosystem. MIT OpenCourseWare says it offers free lecture notes, exams, and videos from MIT with no registration required. (ocw.mit.edu) This is not a one-off upload. The 2024 edition followed the same pattern, with lectures released from April 29, 2024 through June 24, 2024, and the site said the content would be open-sourced to the world after the on-campus program ended. (introtodeeplearning.com) MIT also maintains older versions of the class on OpenCourseWare, including a 2020 edition taught by Alexander Amini and Ava Soleimany. That archive says students get practical experience building neural networks in TensorFlow and finish with a project proposal competition. (ocw.mit.edu) The current 2026 page lists nine lectures running through May 25, 2026, ending with “The Three Laws of AI” and project presentations. For anyone looking for a structured way into modern artificial intelligence, MIT is treating the course like a public release, one Monday at a time. (introtodeeplearning.com)