A list of great resources for breaking into AI Engineering.

Mathematics

• Essence of calculus
• Essence of linear algebra
• Neural networks
• Mathematics for Machine Learning and Data Science Specialization

Machine Learning

• Machine Learning | Coursera
• Introduction to Statistical Learning in Python

PyTorch

• Official PyTorch Tutorials
• PyTorch Tutorials by Aladdin Persson

Deep learning

• Neural Networks: Zero to Hero by Andrej Karpathy
• fast.ai [p1], [p2]
• Deep Learning Fundamentals - Lightning AI

Transformers

• Transformers from Scratch
• The Illustrated Transformer – Jay Alammar – Visualizing machine learning one concept at a time.

NLP

• Natural Language Processing Specialization by deeplearning.ai
• Hugging Face NLP Course

LLMs

• LLM Bootcamp - The Full Stack
• LLM University by Cohere

Talks

• LLM in Production
• LLM in Production - Part II

Agents

• LLM Powered Autonomous Agents | Lil'Log

Tuning

• A Stage Review of Instruction Tuning

Articles

• Building LLM applications for production

Build

• lablab.ai
• buildspace
• AI Templates – Vercel
• openai/openai-cookbook: Examples and guides for using the OpenAI API

Other resources

• openai/syllabus.md
• Chris Olah on working at top AI labs without an undergrad degree - 80,000 Hours