Generative AI Teaching and Learning Materials

Welcome to an Experimental Journey in GenAI!

If you’ve landed here, you're likely excited about learning and teaching Generative AI. I’m thrilled to share this dynamic page, crafted using GenAI's versatile capabilities to showcase the incredible potential of simple prompts and accessible tools.

Having taught these concepts at UW Foster’s Master of Information Systems and undergraduate programs, and delivered guest lectures to a diverse audience, including MBAs, Executive MBAs, PhDs, undergraduates, and entrepreneurship programs, I've seen firsthand the transformative power of innovative teaching.

This course was a resounding success, earning me the Charles E. Summer Memorial Teaching Award and the MSIS Teaching and Innovation Excellence Award. Throughout the course, I blended the latest AI news, live demos, technical skills, tutorials, discussions, inspirational content, and life lessons. Over just three weeks, students demonstrated remarkable growth, each presenting a unique business idea and a live demo of a GenAI tool they built and deployed.

Let's explore and be inspired by what’s possible with GenAI!

New!

Check out this tutorial [🔗 here] to create your website in 15 minutes using Claude, ChatGPT, DALL-E, Runway, Replit, and other GenAI tools! 

Content from the course



I have developed numerous other resources. If you're interested, please email me at leobix@uw.edu :)

I am also preparing a short paper explaining my teaching methodology and describing the outcomes.


If you consider leveraging this material, you can reference it as: 

Boussioux, Leonard (2024). Forging AI Champions: Bridging Human Creativity and Generative AI in the Classroom. Foster School of Business, University of Washington. Accessed at www.leobix.us/genai

Media communications about my course

Lecture slide decks (for powerpoint versions, please email me: leobix@uw.edu)

Lecture 1 AI and the Future of Work Boussioux.pdf

Lecture 1: AI and the Future of Work

Lecture 2 AI and Creative Problem Solving Boussioux.pdf

Lecture 2: AI and the Future of Human Creativity

Lecture 3 Intro Deep Learning Boussioux.pdf

Lecture 3: Intro to Deep Learning

Lecture 4 Computer Vision and Transfer Learning Boussioux.pdf

Lecture 4: Fundamentals of Deep Learning for Computer Vision and Transfer Learning

Lecture 5 Opening the Large Language Model Black Box Boussioux.pdf

Lecture 5: Opening the Large Language Model Black Box

Lecture 6 Diffusion Models Boussioux.pdf

Lecture 6: Multimodality and Diffusion Models for Text-to-Image Generation