Courses

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/

Coursera

1. Introduction to Machine Learning in Production. https://www.coursera.org/learn/introduction-to-machine-learning-in-production
2. Generative AI with LLMs. https://www.coursera.org/programs/learning-program-for-family-iwira/learn/generative-ai-with-llms?source=search

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. Coding LLMs from scratch. https://www.youtube.com/watch?v=quh7z1q7-uc. Sebastian Raschka
5. Let's Build GPT https://youtu.be/kCc8FmEb1nY Andrej Karpathy
6. IIT Delhi Course on LLMs https://lcs2-iitd.github.io/ELL881-AIL821-2401/
7. Berkley LLM Agents MOOC https://www.youtube.com/playlist?list=PLS01nW3RtgopsNLeM936V4TNSsvvVglLc
8. LLM Agents Berkley Course. https://rdi.berkeley.edu/llm-agents/f24

Multimodal Learning

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

Andrej Karpathy

1. nanoGPT: https://youtu.be/kCc8FmEb1nY
2. LLM101n https://github.com/karpathy/LLM101n