Info session: curious about this course? Attend our next online info session on Wednesday, February 19, 2025 from 12:00 – 13:00. Register here
Target audience
Chief [digital/information/product] officers, product managers, product owners, and other professionals from tech companies and startups, willing to expand their skills in managing AI products.
Prerequisites
Basic understanding of AI and machine learning is recommended. Instructors will provide a technical introduction to ensure everyone is ready to dive in.
overview
AI is set to transform various industry sectors. Consequently, the demand for product managers who can develop AI products is high. AI product management is a complex role that requires an understanding of both AI and product management.
How to identify opportunities for developing new AI products? When can AI improve existing products, services or processes? What are the best practices in AI Product Management (AIPM)?
Through a 3-day program, participants will learn the techniques and methodologies for managing AI products from ideation and strategy to launch.
Objectives
- Identify opportunities to develop new AI products or integrate AI within existing products
- Gain insights into the technical aspects of AI to enhance product discovery, development, and launch
- Discover compelling case studies from industry leaders and expand your professional network
- Build an effective AI product roadmap from strategy to launch
- Create a Minimum Viable Product (MVP) as hands-on exercise and receive expert feedback
Certification
A certificate of attendance will be delivered at the end of the course.
Programme
DAY 1 – Morning
Introduction to AI Product Management (AIPM)
- What and why of AIPM
- AI product discovery & understanding customer needs
- Technical introduction to AI
DAY 1 – Afternoon
AI Product Discovery
- Uncovering the latest AI advances
- Real-world insights and proven practices from top AI innovators
- Setting AI product vision and strategy
- Reflection and group work
DAY 2 – Morning
AI Product Development & Delivery
- Planning and executing a successful AI product launch
- Release and performance metrics for continuous improvement of AI products
- Uncovering the latest AI advances
DAY 2 – Afternoon
AI Product Delivery
- AI regulations & business ethics
- Real-world insights and proven practices from top AI innovators
- Managing team dynamics and effective communication with stakeholders
- Reflection and group work
Project Week: During Project Week, starting after day 2 and leading up to Demo Day, participants have up to a week to develop their MVPs. Participants are not required to be on-site and may organise their schedules freely. Online office hours will be available for support and guidance throughout this period.
DAY 3
Minimum Viable Product (MVP) Demo Day*
- Participants present their developed MVPs, showcasing their journey from ideation to execution.
- Participants receive professional insights from experts to refine and enhance their MVPs.
*Participants need to be available all day: presentation schedules will be communicated on day 1. They are welcome to attend all presentations, however if a project requires confidentiality, access will be limited to experts only.
Curious about the state of AI in the industry and the growing demand for AI Product Managers? Learn how the AIPM program equips you to meet these exciting challenges!
Organisation
Organisation
- School of Computer and Communication Sciences, EPFL (IC)
The School of Computer and Communication Sciences at EPFL (IC) is one of the main European centres for education and research in the field of computing.
- AI Center, EPFL
The EPFL AI Center’s mission is to lead the way towards trustworthy, accessible, and inclusive AI through research, education, and innovation.
Co-directors and instructors
- Dr. Amin Kaboli, Lecturer in AI Product Management, EPFL; Advisor for corporations and startups
- Prof. Amir Zamir, Professor of Computer Science, EPFL; Advisor for various AI startups
Speakers
Experts from academia, AI startups, and leading AI corporations, namely:
- Alexandre Alahi, Professor and Head of the Visual Intelligence for Transportation Laboratory (VITA), EPFL
- Antoine Bosselut, Professor and Head of Natural language Processing Lab (NLP), EPFL
- Maria Brbic, Professor of Computer Science and Life Sciences, School of Computer and Communication Sciences, EPFL
- Ruben Burdin, Co-founder and CEO, Stacksync (Y Combinator W24)
- Alexis Favre, Co-founder and CTO, Stacksync (Y Combinator W24)
- Caglar Gulcehre, Professor and Head of Lab for AI Research, School of Computer and Communication Sciences, EPFL
- Gero Gunkel, Head of Product Development & Commercialization, Zurich Insurance Company
- Guido Palazzo, Professor of Business Ethics, UNIL
- Dr. Ali Rad, Group Product Manager, Google
- Liviu Știrbăț, Head of Unit for AI in Science, Research and Innovation, the European Commission
practical information
Dates and schedule
Format:
- Days 1 and 2: in person
- Day 3: online or in person, according to the participant’s preference
Next course dates:
- March 31, April 1st, and April 11, 2025: registration open
- September 4-5, and September 12, 2025: registration to be opened later
Course venue
EPFL, Lausanne, Switzerland and online
Material
Participants should bring their own laptop for the onsite sessions.
Course fee*
CHF 2450.– (Lunch on March 31 & April 1st is included)
* 10% special discount for contributing members of EPFL Alumni and EPFL partners
Registration deadline
February 28, 2025
Number of participants is limited.
