Course index · 2026
Courses for people who want to understand AI clearly, build it responsibly, and own what happens after the demo.
Intermediate course
Work where the problem is still unclear.
Learn to take an ambiguous customer problem from discovery to a deployed, adopted AI system—combining engineering depth, product judgment, and the discipline to own the outcome.
Intermediate course
Build the foundation beneath reliable LLM products.
Prompting, retrieval, evaluation, agents, and the production decisions that turn a model call into a system.
Open course
Understand the intelligent world without the jargon.
A clear foundation for using AI confidently, critically, and responsibly in everyday work.
Open course
Honest classroom practice for an AI-rich world.
A concise, practical course for teachers and curriculum designers: lighten preparation, teach honest AI use, redesign assignments, assess real learning, and protect student data.
Intermediate course
Build a production agent one layer at a time.
A hands-on path from a model call to a deployed, evaluated agent across model, harness, tools, skills, and runtime.
Foundations course
A first-principles introduction to modern machine learning.
Linear models through deep networks, with daily problem sets and a capstone project.
Advanced course
The quiet work that decides how good a language model gets.
Source, clean, annotate, and evaluate language data for low-resource and dialect-rich settings.