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Welcome to an Experimental Journey in GenAI!
If you’ve landed here, you're likely excited about learning and teaching Generative AI.
I taught several innovative courses 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.
These courses were a great success and were recognized at the University of Washington with the Charles E. Summer Memorial Teaching Award and the Master of Science in Information Systems Teaching and Innovation Excellence Award. Throughout the courses, I blended the latest AI news, live demos, technical skills, tutorials, discussions, inspirational content, and life lessons. In a matter of weeks, students demonstrated remarkable growth, presenting unique business ideas, live demos of products they built and deployed, video games, websites, and agentic systems.
Let's explore and be inspired by what’s possible with GenAI!
Content from the Graduate GenAI Course (Winter 2024; Winter 2025 to come soon)
Syllabus: [🔗 here].
Eight 1-2-hour lectures below (updated in December 2024).
Resources to learn more about GenAI: [🔗 here].
A handout on Artificial Intelligence [🔗 here] and on Large Language Models [🔗 here].
Example of Homework highlighting practices of Generative AI: [🔗 here].
CustomGPT to assist students in their learning (can give tutorials, interrogate, and explain): [🔗 here].
If you consider leveraging any of the learning materials on this page, 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.
🆕 Tutorial! Combining LLMs and OR/MS for Smarter Decision-Making
🆕 Tutorial! Combining LLMs and OR/MS for Smarter Decision-Making
Check out these tutorial slides on combining large language models and OR/MS for Smarter Decision-Making. My colleagues Segev Wasserkrug and Wei Sun (IBM) and I gave this tutorial at the INFORMS' 2024 annual meeting. You can find the written tutorial [🔗 here] or published online on INFORMS' website [🔗 here]. It covers:
How do large language models work?
Making better decisions by combining LLMs and OR/MS
Using LLMs in the creation of optimization solutions
Using LLMs as part of an analytics pipeline
Using LLMs as a user interface
Tips, take-aways, and frontiers
Segev Wasserkrug, Léonard Boussioux, Wei Sun (2024) Combining Large Language Models and OR/MS to Make Smarter Decisions. INFORMS TutORials in Operations Research 1-49.
LLMs and ORMS for Smarter Decisions Presentation - v13 Share 10_23_2024.pdf
🆕 My latest slide deck and video recording for my INFORMS GenAI Series Talk
Leveraging Generative AI for Creative Problem-Solving in Operations Research and Management Science
Boussioux_NAI_INFORMS_2024_v2_Complete_10_26_2024.pdf🆕 Create your Website in 15 Minutes GenAI Tutorial
Check out this video tutorial to create your website in 15 minutes using Claude, ChatGPT, DALL-E, Runway, Replit, and other GenAI tools! It is a good example of an activity to teach GenAI in class and illustrate human-AI collaboration and the usage of multiple tools.
🆕 Lecture slide decks | For Powerpoint version or undergraduate version (14 lectures, including machine learning), please email me: leobix@uw.edu
4 lectures on Deep Learning Fundamentals: From neural networks and computer vision to transformers and large language models, including an exciting case study on hurricane forecasting built on top of my PhD research.
4 lectures on Generative AI & Creative Problem Solving: Covering the future of work, prompt engineering, idea generation and evaluation, human-AI collaboration and decision-making, diffusion models, and frontiers of GenAI (RAG, Multi-Agent, ChatGPT o1,…)
Boussioux_Lecture_DL1_Neural_Networks.pdfDL Lecture 1: Intro to Deep Learning
DL Lecture 1: Intro to Deep Learning
Boussioux_Lecture_DL2_CNNs_Transfer_Learning.pdfDL Lecture 2: Computer Vision and Transfer Learning
DL Lecture 2: Computer Vision and Transfer Learning
Boussioux_Lecture_DL3_Large_Language_Models.pdfDL Lecture 3: Large Language Models
DL Lecture 3: Large Language Models
Boussioux_Lecture_DL4_Multimodality.pdfDL Lecture 4: Multimodality
DL Lecture 4: Multimodality
Boussioux_Lecture_GenAI1_AI_and_the_Future_of_Work.pdfGenAI Lecture 1: AI and the Future of Work
GenAI Lecture 1: AI and the Future of Work
Boussioux_Lecture_GenAI2_GenAI_AI_and_Creative_Problem_Solving.pdfGenAI Lecture 2: GenAI and Creative Problem Solving
GenAI Lecture 2: GenAI and Creative Problem Solving
Boussioux_Lecture_GenAI3_GenAI_and_Collaborative_Intelligence.pdfGenAI Lecture 3: GenAI and Decision-Making
GenAI Lecture 3: GenAI and Decision-Making
Boussioux_Lecture_GenAI4_Diffusion_Models.pdfGenAI Lecture 4: Diffusion Models
GenAI Lecture 4: Diffusion Models
Media communications about my courses
Foster Magazine (by Suzanne Lee)
GeekWire Podcast (by Todd Bishop)
Some of my amazing classes and students
Some of my latest talks around our Universal AI research
🆕 Hosting Bi-Weekly Hybrid AI Lunch&Learn at UW
Join us and become part of our vibrant community of learners, builders, and educators. Discover and share the latest AI news and tips! Anyone is welcome. Please sign into our Slack to join the community. To allow us to meet regularly, I organize bi-weekly lunches (one in-person at UW Foster, one hybrid).
🆕 Latest research publications and preprints around Generative AI
Organization Science
AAAI 2025 Senior Member Track
TEDx MIT: Let Art Be Your Superpower!
TEDx MIT: Let Art Be Your Superpower!
Dive into the future of artistry! In this TEDx Talk, I spotlight the transformative power of AI in art and creativity, reinforcing that we all have an inherent artist within waiting to be unleashed.
TEDx Boston: How to Solve the UN' Sustainable Development Goals in 5 Minutes
TEDx Boston: How to Solve the UN' Sustainable Development Goals in 5 Minutes
I advocate for a collective approach to the UN's Sustainable Development Goals. Using Generative AI, I emphasize that even those with minimal data science knowledge can make a significant difference. Together, we can foster collaboration and drive real-world impact.
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