LLM Mastery for Enterprise AI Engineering
Beginner
Build the foundation · 5 tutorials · 15-25 min each
Produce a defensible enterprise AI readiness packet: use-case brief, system choice, prototype, eval suite, deployment plan, governance evidence, and release decision.
Course Overview
How to use LLM Mastery as a free enterprise AI engineering course.
What Is an LLM?
The plain-English mental model for large language models and the modern LLM ecosystem.
How AI Models Work
Neural networks, training, softmax, architecture, and why next-token prediction becomes useful behavior.
Tokens and Tokenization
How tokenization affects cost, context windows, latency, multilingual behavior, and practical engineering decisions.
Context, Embeddings, Transformers, and Model Choices
The remaining foundation layer: context windows, embeddings, transformers, attention, parameters, training vs inference, and open vs closed models.