Every course Future of Work University runs, what it assumes you already know, and which semester it was taught in.
A course is a subject taught over a series of sessions, each one a 60-minute class. Every course runs once and is recorded, so a course that has already been taught can still be watched in full — follow an entry below to reach its syllabus, its sessions and their recordings.
Courses are grouped by what they assume you already know, not by how hard they are. Anything foundational assumes no prior AI knowledge.
3 courses
Assumes no prior knowledge of AI.
5 sessions
A foundational AI literacy course for colleagues with little or no prior AI experience. It has no prerequisites, and it builds the skills that matter in a working day: prompting that gets a useful answer, judgement about where AI is unreliable, and safe use of the internal tools Amadeus has approved.
Taught in Fall 2026 · 1 of 5 sessions recorded
Builds on a foundational course.
5 sessions
A hands-on course for builders. It moves the work from ad hoc, small-scale AI-assisted coding towards agentic engineering: writing specifications, building the feedback loops and verification checks an agent needs, and directing coding agents rather than hand-writing every line. It covers tool fluency, spec-writing and modern agentic SDLC frameworks, and closes with a capstone in which participants run a real project through the full agentic workflow.
Taught in Fall 2026
Assumes working familiarity with the tools.
An advanced course on building and deploying production-grade, cloud-based agents. It starts with a hands-on agent harness written from scratch, then moves into frameworks — LangChain, CrewAI and Azure AI Foundry — and multi-agent orchestration, in service of Amadeus' longer-term software factory ambition. This is the first of a two-part series.
Taught in Fall 2026