MIT Intro to Deep Learning @MITDeepLearning
MIT's introductory course on deep learning! IntroToDeepLearning.com MIT Joined February 2018-
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Check out the guest lecture our CTO Mathias Lechner @mlech26l gave at @xanamini's @MITDeepLearning course on the secrets of massively parallel training: youtube.com/watch?v=UZZD9d… Mathias covers the tradeoffs that matter in production: Why memory is more precious than compute, how pipeline bubbles kill throughput, and what 5D parallelism looks like on 2000 GPUs.
⭐️⭐️The final lecture of @MITDeepLearning 2026 is now available online #FREE for ALL! How are today’s frontier AI models actually trained?🤔 🤖 Learn the secrets of Massively Parallel Training from @liquidai's Mathias Lechner @mlech26l! This is a lecture you don’t want to miss!! 🚀 🔥 Lecture 👉 youtube.com/watch?v=UZZD9d… 🌐 Website 👉 IntroToDeepLearning.com
⭐️⭐️ Lecture 8 of @MITDeepLearning 2026 is now available online #FREE for ALL! ⚛️ AI is poised to transform scientific discovery. Learn all about AI for Science with Chris Bishop @Microsoft @MSFTResearch! Tune in to see how AI, chemistry, and physics work together to help us learn the language of atoms and molecules ⚛️ 🔥 Lecture 👉 youtube.com/watch?v=rZACoZ… 🌐 Website 👉 IntroToDeepLearning.com
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A 25-year-old MIT PhD student stood in front of a classroom in January 2018 and started teaching the most ambitious deep learning course on the planet. His name is Alexander Amini. He's been teaching it every single January for the last 8 years, and the entire course is uploaded
A 25-year-old MIT PhD student stood in front of a classroom in January 2018 and started teaching the most ambitious deep learning course on the planet. His name is Alexander Amini. He's been teaching it every single January for the last 8 years, and the entire course is uploaded to YouTube for free within weeks of being recorded on campus. Here's what almost nobody tells you about this course. MIT 6.S191 was never designed to be a watered down public version of an internal class. It is the internal class. The same lectures the on-campus students sit through are the lectures uploaded to YouTube. The same labs the on-campus students submit are the labs you can run in Google Colab from your laptop. The same problem sets. The same projects. The same guest lectures from researchers at OpenAI, Google DeepMind, and NVIDIA. The only thing you don't get is the MIT credential. Everything else is identical. Amini and his co-instructor Ava Soleimany rebuild the course every single year because the field moves so fast that last year's lectures are already half obsolete. The 2026 version covers the architecture of frontier LLMs, modern RLHF, multimodal models, and diffusion in a way that did not exist in any curriculum even 18 months ago. A self-taught engineer in Lagos, a high schooler in Karachi, and a working software developer in Berlin can all open the same playlist tonight and be learning from the same instructors as a 22-year-old paying $60,000 a year to sit in a Cambridge auditorium. This is the most quietly democratizing thing happening in technical education and almost nobody outside the field has heard of it. The course is at introtodeeplearning.com. The lectures are on YouTube. Both are free. Most people will scroll past this post. The few who open the link will be in a different position by March than they are tonight.
🤔 Curious about the biggest new frontiers of deep learning? Tune in to Lecture 6 of @MITDeepLearning 2026, now available online #FREE for ALL!!⭐️⭐️ 🔥 NEW content on #GenAI, language models #LLMs, #AI for Science, and more! 🧠 🔥 Lecture 👉 youtube.com/watch?v=ev7cLS… 🤩 New lecture every Monday 10am ET w/ @PyTorch @TensorFlow labs! 🌐 Website 👉 IntroToDeepLearning.com
⭐️⭐️ Lecture 7 of @MITDeepLearning 2026 is now available online #FREE for ALL! Heard of the #ThreeLaws of Robotics? Should there be an equivalent Three Laws for #AI? 🤔 Tune in to hear a proposal for The Three Laws of AI from the amazing @DougBlank3 of @Cometml! 🚀 🔥 Lecture 👉 youtube.com/watch?v=XKOpA7… 🌐 Website 👉 IntroToDeepLearning.com
⭐️⭐️ Lecture 5 of @MITDeepLearning 2026 is now available online #FREE for ALL. Learn super-human decision making w/ #ReinforcementLearning! 🔥 Lecture 👉 youtube.com/watch?v=1ij3dw… 🤩 New lecture every Monday 10am ET w/ @PyTorch and @TensorFlow labs! 🌐 Website 👉 IntroToDeepLearning.com
⭐️⭐️ Lecture 4 of @MITDeepLearning 2026, on Generative Models, is now available online #FREE for ALL. Learn the fundamentals of #GenerativeAI! 🧠 🔥 Lecture 👉 youtube.com/watch?v=R8V8Cb… 🤩 New lecture every Monday 10am ET w/ slides & @PyTorch and @TensorFlow labs! 🌐 Website 👉 IntroToDeepLearning.com
⭐️⭐️ Lecture 3 of @MITDeepLearning 2026 is now available online #FREE for ALL. Topics include CNNs, vision 👀, images/video 📸, and more! 🔥 Lecture 👉 youtube.com/watch?v=pqIcos… 🤩 New lecture every Monday 10am ET w/ slides and @PyTorch & @TensorFlow software labs! 🌐 Website 👉 introtodeeplearning.com
🤖 Dive into the fundamentals of #AI, #LLMs, #DeepLearning with @MITDeepLearning! Lectures 1 and 2 are officially live and online #FREE for all! 🧠 L1: Intro to Deep Learning youtu.be/II4giR4vOOo?si… 🧠 L2: Sequence Models & Transformers youtu.be/II4giR4vOOo?si… 🗓️ New lecture every Monday at 10am ET! 👉 Sign up for live updates + stay tuned for more! youtube.com/channel/UCtslD…
⭐️⭐️ Lecture 2 for @MITDeepLearning 2026 now online!! ✅ Sequence models 🔄 ✅ Attention 👀 ✅ LLMs 🤖 🧠 New lecture every Monday at 10am ET! 🔥 Watch #FREE here 👉 youtube.com/watch?v=d02VkQ… 👀 Sign up for updates 👉 youtube.com/channel/UCtslD… 📅 Website 👉 introtodeeplearning.com
📢 At last!! Lectures of @MITDeepLearning 2026 are officially starting this Monday 3/30 -- #FREE + online for all! 📢 🗓️ New lecture every Monday at 10am ET 🚀 New updates! #LLMs, #AIforScience, #ParallelTraining, #Transformers, & more! 👉 Sign up for live updates youtube.com/channel/UCtslD…
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