Curated collection of books, courses, and videos to accelerate your AI engineering journey.
by Aurélien Géron
A comprehensive guide to building intelligent systems using Scikit-Learn, Keras, and TensorFlow.
by Martin Kleppmann
The big ideas behind reliable, scalable, and maintainable data systems.
by Hannes Hapke & Catherine Nelson
Automating model life cycles with TensorFlow Extended and Apache Beam.
by Ian Goodfellow, Yoshua Bengio & Aaron Courville
The definitive textbook on deep learning fundamentals and advanced techniques.
by Andriy Burkov
A concise yet comprehensive overview of machine learning concepts and algorithms.
A practical guide to productionizing machine learning systems.
by Andrew Ng - DeepLearning.AI
Complete specialization covering the full ML production lifecycle.
by Jeremy Howard
Learn practical deep learning techniques and apply them to real problems.
by Stanford University
Comprehensive machine learning course covering theory and applications.
by DataTalks.Club
Free course covering the entire data engineering stack.
by Full Stack Deep Learning
Practical guide to MLOps tools and best practices.
by Berkeley AI Research
Latest developments in LLM engineering and deployment.