Mastering PyTorch: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond

Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD

Deep Learning: A Visual Approach

Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow

Building LLM Powered Applications: Create intelligent apps and agents with large language models

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Information Theory, Inference and Learning Algorithms

Essential Math for AI: Next-Level Mathematics for Efficient and Successful AI Systems

Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools

Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT and other LLMs