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  1. Introduction to Python Programming https://www.udacity.com/course/introduction-to-python--ud1110
  2. Intro to Deep Learning with PyTorch https://classroom.udacity.com/courses/ud188
  3. Fast AI course on Foundation Models to Stable Diffusion https://course.fast.ai/Lessons/part2.html
  4. Stanford CS330 Deep Multi-Task & Meta Learning https://youtu.be/bkVCAk9Nsss?feature=shared For certificate
  5. MIT MIT 6.S191: Deep Generative Modeling https://youtu.be/3G5hWM6jqPk
  6. MIT Introduction to Deep Learning http://introtodeeplearning.com

Stanford: CS224

  1. Stanford CS224W https://online.stanford.edu/courses/cs224w-machine-learning-graphs
  2. Stanford CS224N Natural Language Processing with Deep Learning https://online.stanford.edu/courses/cs224n-natural-language-processing-deep-learning
  3. Stanford CS224R Deep Reinforcement Learning https://online.stanford.edu/courses/cs224r-deep-reinforcement-learning
  4. Stanford CS224U Natural Language Understandinghttps://online.stanford.edu/courses/cs224u-natural-language-understanding
  5. Stanford CS228 Probabilistic Graphical Models: Principles and Techniques https://online.stanford.edu/courses/cs228-probabilistic-graphical-models-principles-and-techniques
  6. Stanford CS224V Conversational Virtual Assistants with Deep Learning https://web.stanford.edu/class/cs224v/
  7. Stanford CS224S Spoken Language Processing https://web.stanford.edu/class/cs224s/

Stanford : CS25 Transformers United

  1. Transformers United: https://youtube.com/playlist?list=PLoROMvodv4rNiJRchCzutFw5ItR_Z27CM&feature=shared

Deeplearning.ai

  1. RAG Retrieval Augmented Generation. https://www.deeplearning.ai/short-courses/advanced-retrieval-for-ai/
  2. RLHF https://www.deeplearning.ai/short-courses/reinforcement-learning-from-human-feedback
  3. Building and Evaluating Advanced RAG Applications https://www.deeplearning.ai/short-courses/building-evaluating-advanced-rag
  4. MLOps Specialization. https://www.deeplearning.ai/courses/machine-learning-engineering-for-production-mlops/

Robotics

Stanford CS223A Introduction to Robotics https://online.stanford.edu/courses/cs223a-introduction-robotics Stanford AA274A Principles of Robot Autonomy I https://online.stanford.edu/courses/aa274a-principles-robot-autonomy-i Stanford CS237B Principles of Robot Autonomy II https://online.stanford.edu/courses/cs237b-principles-robot-autonomy-ii

LLMs

  1. Full Fledged LLM course on Github https://github.com/mlabonne/llm-course
  2. LLM Bootcamp. fullstackdeeplearning.com
  3. https://www.youtube.com/watch?v=UU1WVnMk4E8 freecodecamp.org
  4. Tutorial Videos
    1. QLoRA: Fine-tuning LLMs on a single GPU https://www.youtube.com/watch?v=XpoKB3usmKc

Multimodal Learning

  1. https://cmu-multicomp-lab.github.io/mmml-course/fall2020/

Andrej Karpathy

  1. nanoGPT: https://youtu.be/kCc8FmEb1nY