I teach generative AI at UW Foster and industry professionals through courses and bootcamps across undergraduate, specialized master's programs, MBA, EMBA, executive, and entrepreneurship programs. These award-winning courses blend live demos, practical tutorials, and real-world building: in a few hours or weeks, students turn ideas into deployed tools, products, websites, and agentic systems.
Everything I hand my students in MSIS 522 (Advanced Machine Learning) and MSIS 549 (GenAI for Business Applications), updated Winter 2026 — free for anyone to use.
MSIS 522 — Advanced Machine Learning & MSIS 549 — GenAI for Business Applications.
A concise primer on the foundations of AI, written for business students.
How modern LLMs work and how to put them to work — in plain language.
A Socratic AI tutor embedded in a customized quiz interface with modular quizzes and a live randomized study.
Project-based homework where students build and ship something real — not just submit answers.
How to reference these materials: Boussioux, Léonard (2025). Teaching Generative AI Through Building: A Pedagogical Framework for Business Students. Foster School of Business, University of Washington. Accessed at www.leobix.us/genai.
Explore the work of my students, deployed tools, games, sites, and agents built in weeks, and the vibe-coding techniques behind them.
Browse the gallery→An interactive textbook on the fundamentals of machine learning, deep learning, and generative AI, with hands-on playgrounds at every step.
Open the textbook→MIT Universal AI Summit
Research talk
Eight self-contained slide decks across two tracks — click any slide to open the full deck.
Companion Google Colab notebooks for the lectures — open one and run it in your browser, no setup required.
▶TEDxMIT SalonHow AI is reshaping art and creativity — and why that makes us more human, not less.
▶TEDxBostonA case for collective, GenAI-augmented problem-solving on the world's hardest goals.
▶INFORMS tutorialAn INFORMS Analytics Society tutorial on how LLMs combine with operations research for decision-making — wiring them into optimization solvers, analytics pipelines, and natural-language interfaces. With Segev Wasserkrug & Wei Sun (IBM Research).

Léonard Boussioux, Jacqueline N. Lane, Miaomiao Zhang, Vladimir Jacimovic, Karim R. Lakhani

Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh, Pei-Hsin Wang

Caitlin Cunningham, Rebekah Baik, Léonard Boussioux, Leela Nageswaran

Léonard Boussioux, Hongyu Chen, Ming Fan, Apurva Jain

Segev Wasserkrug, Léonard Boussioux, Wei Sun

Segev Wasserkrug, Léonard Boussioux, Dick den Hertog, Farzaneh Mirzazadeh, İlker Birbil, Jannis Kurtz, Donato Maragno
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▶The future of artistry — the transformative power of AI in art and creativity, and the artist already waiting inside each of us.
▶A collective approach to the UN SDGs, where generative AI lets even non-experts drive real-world impact.
The course ends with a public, poster-session-style fair where every student demos a working product live to industry judges and Foster alumni. No exam — just a laptop, a real demo, and a stranger asking “why does it do that?” It is the most honest assessment instrument I have ever used.
The method behind this showcase — rapid prototyping with generative AI, live student products, and showcase-driven learning — is something I teach and share with faculty and leaders around the world.
I bring generative AI education to MBAs, executives, and undergraduates, and love teaming up with industry on real GenAI problems.
leobix@uw.edu →