Introductory AI Program.

Master the craft of talking to large language models. Frameworks, patterns, and pro tricks that turn vague prompts into reliable results.

Move from playground prompts to production AI apps. RAG, evals, guardrails, and the realities of building with LLMs in 2026.

A bottom-up rebuild of the MBA curriculum for founders, operators, and product minds who'll spend their careers running organizations where the work increasingly does itself. Finance, ops, strategy, hiring, and execution — taught the way it's actually practiced in 2026.

From a single neuron to multi-layer networks and convolutions, this course gives you the foundations to read modern papers and build your own models.

Bias, fairness, privacy, accountability — the human side of AI. Frameworks and case studies that help you make better decisions.

Understand what AI really is, how it learns, where it's used today, and what's coming next. No math gatekeeping — just clarity, examples, and confidence.

We build intuition for the math behind ML using interactive concepts and analogies. By the end you'll see what a model is actually doing.

Stop watching demos and start shipping real automations. We'll go from 'what is this' to deploying a workflow that triages your inbox and drafts replies, with the safety rails to keep it running on a Tuesday at 3am.

A full-spectrum course on the discipline of holding things for other people. We cover three pillars in depth — estate / fiduciary trust administration; Indigenous and tribal trust administration; and the modern digital Trust & Safety profession — and tie them together with a comprehensive Trust Directory and a proctored final examination.