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AIPM Sprint
AIPM Sprint
AIPM SprintManaging AI products from idea to launch. Learn from experts in academia, AI startups, and leading corporations.
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.
Are you a professional in a tech company or startup, looking to expand your skills in managing AI products? Our 3 day intensive course with lectures by experts from academia and industry is tailored for you.
Master techniques from ideation to strategy and successful AI product launches.
Identify new product opportunities and integrate AI into existing offerings.
Build a solid grasp of technical foundations to elevate product development.
Explore academic and industry success stories and grow your network.
Design end-to-end roadmaps for AI products that drive real value.
Create a real Minimum Viable Product and receive expert feedback.
The AIPM Sprint course focuses on the development of real-world AI/ML products. A compressed version of the EPFL course CS500: AI Program Management, tailored for professionals looking to upskill for managing AI/ML-oriented products. The student course has had an extremely successful two years, with two startups going on to join YCombinator.
The 3-day Sprint course for professionals features lectures from EPFL professors, AI startups, and leading AI corporations, covering the basics and cutting-edge of AI, along with case studies of building successful products.
While a basic understanding of AI and machine learning is recommended, instructors will provide a technical introduction to ensure everyone is ready to dive in.
The next information session is on May 13, 2025, 12:00-13:00 CET.
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Lecturer in AI Product Management, EPFL; Advisor for corporations and startups.
Professor of Computer Science, EPFL; Advisor for various AI startups.
Participants develop their MVPs over the week following Day 2. While attendance is flexible, online office hours provide support. MVPs are refined ahead of Demo Day.
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