Missed our info sessions earlier this year? Watch the replay below for detailed information about the AI Product Management program:
Info session replay
Target audience
Product managers, product owners, chief [digital/information/product] officers, and other professionals from tech companies and startups, willing to expand their skills in managing the development of AI products.
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 sprint course, participants will learn the techniques and methodologies for developing and managing new 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
- Build an effective AI product roadmap from strategy to launch
- Create a Minimum Viable Product (MVP) as hands-on exercise and receive expert feedback
- Discover compelling case studies from industry leaders and expand your professional network
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
- Technical introduction to AI
- Core pillars and required skills for AI product management
- AI product manager role and impact on various industries
DAY 1 – Afternoon
AI Product Discovery
- Understanding customer needs
- Establishing product-market fit
- Setting AI product vision and strategy
DAY 2 – Morning
AI Product Development
- Mastering agile methodologies
- AI product tests and development
- Managing team dynamics and effective communication with stakeholders
DAY 2 – Afternoon
AI Product Delivery
- Planning and executing a successful AI product launch
- Marketing the AI product
- Release and performance metrics for continuous improvement of AI products
DAY 3
Minimum Viable Product (MVP) Presentation Day
- Participants present their developed MVPs, showcasing their journey from ideation to execution
- Participants receive feedback from experts to refine and enhance their MVPs
In the video below, Amin Kaboli discusses the current state of AI in the industry, the need for qualified AI Product Management specialists, and practical information about the AIPM program.
Organisation
Organisation
- EPFL School of Computer and Communication Sciences (IC)
The School of Computer and Communication Sciences at EPFL (IC) is one of the main European centers 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.
Instructors
- Prof. Amir Zamir, Professor of Computer Science, EPFL; advisor for various AI start-ups
- Dr. Amin Kaboli, Lecturer in AI Product Management, EPFL; Chief Product Officer, Lagrange.AI
Speakers
Experts from academia, AI unicorn start-ups, 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
- 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
- Thursday, October 24, 2024, 8:30 am – 5:00 pm (in-person)
- Friday, October 25, 2024, 8:30 am – 5:00 pm (in-person)
- Friday, November 1, 2024, 8:30 am – 5:00 pm (online)
Course venue
- Oct. 24 and Oct. 25, 2024: EPFL Campus, Lausanne, Switzerland
- Nov. 1, 2024: online
Material
Participants should bring their own laptop for the onsite sessions.
Course fee*
CHF 2450.– ** (fee includes lunch on Oct. 24 and Oct. 25)
* based on the price of the last edition
**10% special discount for contributing members of EPFL Alumni and EPFL partners
Registration deadline
Registration closed
To be alerted as soon as registration opens for the next edition of this course, register on our Stay Informed platform.
