Developing Business Value Through AI Training - Registration Deadline
Friday, February 14, 2025
About this Event
What if you could turn an innovative idea into a powerful AI-driven product that solves real business challenges?
Explore the possibilities of generative AI during this hands-on training program, where you'll learn to design impactful, ethical AI solutions and communicate their value in business contexts. Whether you're familiar with AI basics or new to the field, this course guides you through each step, from understanding core AI principles to creating your own AI-driven product that meets real-world needs.
Register by Friday, February 14
Why Participate?
This training will prepare you for the future of business, where generative AI is reshaping industries. You'll gain practical experience in designing AI products that can address complex problems, support rapid innovation, and encourage responsible development while developing a portfolio piece to showcase your expertise.
What You'll Gain
- Real-world product development — Leave with experience in taking an AI product from concept to design.
- Technical and strategic skills — Gain knowledge in AI fundamentals and practical applications that will be valuable across business functions.
- Ethical frameworks — Understand responsible AI practices that align with business values and societal impact.
Training Schedule
- Friday, February 21, 9:00–1:00 p.m. (In-person, Chiles 323 computer lab)
- Friday, February 28, 9:00–1:00 p.m. (In-person, Chiles 323 computer lab)
About the Instructor
Christopher Lundy, founder of FindInfinite Labs, is an expert in AI and quantum computing and a researcher in quantum cosmology and astrophysics. He develops AI training programs to equip organizations and individuals with the skills to harness AI's potential, transforming industries and preparing leaders for a technology-driven future. He also leads the biopharma and life sciences industry in applying innovation to complex problems that affect people in a tangible way.
Event Details
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