- Books
- Hands-On Large Language Models, Language Understanding and Generation, Ch. 1-12
- A Quick Start Guide to LLMs 2nd Ed, Ch. 1-4
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 3rd Ed, Ch. 1-17
- AI Live Courses
- Ilya Sutskever's 2024 NeurIPS Talk in Vancourver, Canada
- Sinan Ozdemiroglu's AI Live Courses
- Large Language Models and ChatGPT in 3 Weeks Jan 2025 - GitHub Code
- Transformer Architectures for Generative AI - Sinan Ozdemir Dec 2024 - GitHub Code
- Deep Learning for Modern AI - Sinan Ozdemir Dec 2024
- LLMs, GPT, and Prompt Engineering for Developers - Sinan Ozdemir Sep 2023
- Using Open- and Closed-Source LLMs in Real World Applications - Sinan Ozdemir Sep 2023, July 2024
- Introduction to Deep Learning with PyTorch - Sinan Ozdemir
- Hands on Natural Language Generation and GPT - Sinan Ozdemir
- Ed Donner's AI Live Courses
- Chad Smith's AWS/AI Live Courses
- Essential Math for Data Science
- Grant Sanderson's Playlists
- Linear Algebra for Machine Learning - Jon Krohn
- Probability and Statistics for Machine Learning - Jon Krohn
- Calculus for Machine Learning - Jon Krohn
- The Essential Machine Learning Foundations: Math, Probability, Statistics, and Computer Science - Jon Krohn
- OPTIONAL
- AI Math YouTube Playlist
- Numerical Python 2nd Ed, Robert Johansson
- Linear Algebra Step-by-Step, Kuldeep Singh
- Practical Linear Algebra for Data Science, Mike Cohen
- Linear Algebra: Theory, Intuition, Code, Mike X Cohen
- Practical Statistics for Data Scientists, 2nd Ed - Andrew Bruce, Peter Bruce
- Math for Deep Learnig, Ronald T. Kneusel
- Bayesian Statistics the Fun Way, Will Kurt
- Before Machine Learning Vol 1 - Linear Algebra
- Mathematics for Machine Learning, Marc Peter Deisenroth
- Calculus for Machine Learning: Intro (ML Foundations Series) - Jon Krohn May 2024
- Linear Algebra with Python: Essential Math for Data Science - Michael Cullan Sep 2019, Feb 2020
- Linear Algebra with Python: Essential Math for Data Science - Russell Martin Sep 2019, Feb 2020
- Linear Regression with Python: Essential Math for Data Science - Michael Cullan Feb 2020
- Linear Algebra Done Right
- Python Crash Course, 3rd Ed
- Python for Data Analysis, 2nd Ed
- Python Data Science Handbook, 2nd Ed
- OPTIONAL
- Automate the Boring Stuff with Python, 3rd Ed
- Python Data Science Handbook, 2nd Ed
- Fluent Python, 2nd Ed
- Python Testing with pytest, 2nd Ed
- The Hundred-Page Machine Learning Book
- The Hundred-Page Language Models Book
- Engineer's Pocket Guide to Surviving AI
- A Simple Guide to Retrieval Augmented Generation
- A Damn Fine Stable Diffusion Book
- OPTIONAL
- The Complete Obsolete Guide to Generative AI
- How AI Works
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Ed
- Machine Learning with PyTorch and Scikit-Learn, 2nd Ed
- Deep Learning Illustrated, Jon Krohn & Grant Beyleveld
- OPTIONAL
- Data Science from Scratch, 2nd Ed
- Designing Machine Learning Systems (DMLS)
- Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD, Jeremy Howard & Sylvain Gugger
- Machine Learning from Scratch - Thomas Nield Feb 2025, Aug 2023
- Deep Learning for Beginners in 3 Weeks - Thomas Nield Jan 2025, Sep 2023
- Practical Deep Learning for Coders - Jeremy Howard
- Practical Deep Learning Part 2 - Jeremy Howard
- Fundamentals of Machine Learning for Software Engineers Dec 2024
- Explainable Machine Learning Models—with Interactivity
- Hands-On Large Language Models, Jay Alammar
- Quick Start Guide to Large Language Models, Sinan Ozdemir
- LLM Engineer's Handbook
- Build a Large Language Model from Scratch - Sebastian Raschka
- OPTIONAL
- AI Engineering (AIE), Chip Huyen
- Generative AI on AWS
- Amazon Bedrock in Action
- A Hacker's Guide to LLM - Jeremy Howard
- From Software Engineer to AI Data Scientist - Ed Donner Dec 2024
- Choosing the Right LLM - Ed Donner Dec 2024
- Large Language Models and ChatGPT in 3 Weeks Jan 2025
- Transformer Architectures for Generative AI - Sinan Ozdemir Dec 2024
- Deep Learning for Modern AI - Sinan Ozdemir Dec 2024
- LLMs, GPT, and Prompt Engineering for Developers - Sinan Ozdemir Sep 2023
- Using Open- and Closed-Source LLMs in Real World Applications - Sinan Ozdemir Sep 2023, July 2024
- Generative AI for Cloud Practitioners - Chad Smith Nov 2024
- AWS AI Practitioner Crash Course - Chad Smith Dec 2024
- Fundamentals of Large Language Models: A hands-on approach in 2 Weeks - Jonathan Fernandes Aug/Sep 2023
- Prompting Bootcamp Dec 2024
- AI, ChatGPT, and other Large Language Models (LLMs) Security - Omar Santos Aug 2023
- Deep Learning with Python, 3rd Ed
- Deep Learning with PyTorch, 2nd Ed
- Hugging Face in Action
- LangChain in Action
- Multi-Agent Systems with AutoGen
- OPTIONAL
- Neural Networks from Scratch in Python
- Harnessing Ollama
- Importing Open Source Models to Ollama
- Hugging Face Fundamentals for Machine Learning Dec 2024
- Stanford CS224N NLP With Deep Learning - Hugging Face Tutorial
- Applied Hugging Face
- Hugging Face for MLOps
- Hands-On Deep Neural Networks with PyTorch - Robert Alvarez Sep 2023
- PyTorch 2.0 - Joe Papa Sep 2023
- Practical Introduction To The World Of Computer Vision And Deep Learning With TensorFlow & Keras - Richmond Alake Dec 2021
- Programming Massively Parallel Processors, 3rd Ed
- GPU Programming with Python and CUDA
- Optional
- Getting Started with CUDA for Python Programmers - Jeremy Howard
- Going Further with CUDA for Python Programmers - Jeremy Howard
- Professional CUDA C Programming
- 21st Century C 2nd Ed
- Understanding and Using C Pointers
- AI Papers
- Youtube Playlists
- More Safari Live Courses