AI Engineering
Build AI systems you can trust.
Learn the vocabulary, then build with prompts, retrieval, tools, agents, and evals.
- 01
Learn the words first
Understand each term before it becomes assumed knowledge.
- 02
Build useful behavior
Use prompts, retrieval, tools, agents, and evals.
- 03
Connect the whole system
See how quality, cost, and reliability fit together.
Start here
AI Foundations
22 available · 6 planned
What Is AI?
What a model actually is, what inference means, and why everything else depends on those two ideas.
AI vs Machine Learning vs Deep Learning vs Generative AI
Beginners hear these words used interchangeably and assume every AI product is a chatbot, a neural network, or a model trained from scratch.
What Is A Model?
Beginners treat the model as the whole product, a database of answers, or a conscious agent instead of one component inside a larger system.
More from this track
Open what you need next.
AI Foundations22
Every core AI term explained before it is used.
Building With AI17
Build with prompts, retrieval, agents, tools, and evals.
AI System Studies8
Follow complete AI products from problem to working system.
Under The Hood19
Optional depth on how models and infrastructure work.
Production AI
Guardrails, security, observability, and cost.