AI 4 PMs
Learn how to build AI based products in 8 weeks from industry’s top experts while contributing society
A program designed for experienced Product Managers who are excited to level up as AI Product Managers
About the course
AI4PM is a practical, modern course that helps product managers understand and confidently work with AI, from core concepts to real product applications. You’ll learn how machine learning, generative AI, and AI agents function in practice, how to evaluate models, and how to design responsible, user-centered AI experiences.
Throughout the program, you’ll get hands-on experience, collaborate on real use cases, and learn how to work effectively with data scientists, engineers, and other key stakeholders. You’ll also explore day-to-day tools and workflows that can elevate your capabilities as a product manager.
What will you learn?
- Machine learning basics
- Data science principles
- Supervised and unsupervised learning
- Model evaluation metrics
- NLP
- Generative AI
- LLMs
- Product management practices in the AI field
- Ethical dilemmas leading AI products
- Career path as AI Product Manager
Things you should know
Starting on January 6 to Fabruary 24, the program will last for 8 weeks, every Tuesday evening between 19:00-21:00.
It is an online zoom based program, except for 3 meetups, the first and the last and one during the course that will be held F2F.
The program will be held in Hebrew.
90% of the proceeds are donated to nonprofit organizations
The other 10% helps us expand our activity
Got Questions? We've Got Answers
Starting on January 6 to Fabruary 24 , the program will last for 8 weeks, every Tuesday evening between 19:00-21:00.
It is an online zoom based program, except for the first last and middle meetings that will be held F2F.
Product managers with at least 2 years of practical experience or equivalent.
Familiarity with basic statistics is required.
Recommended to have a technical background.
- Initial application – Once registration opens, you will have 48 hours to submit your application.
Please note this doesn’t guarantee your place in the course, as we need to make sure applicants meet our minimum requirements for the course (you can see them under ‘Course Requirements’).
Registration ends on 30.12.25.
- Application Review – We go over all applications and make sure they meet our course requirements.
- Donate and secure your place – Once you receive an email from us, you will have 48 hours to complete the registration and secure your spot in the course. The ‘cost’ of the course is a donation of minimal 1500₪. You will be able to choose how much you’d like to donate.
Should you not complete your registration within 48 hours, we will automatically move to the next applicant on the list to secure their place, regardless of when they applied to the course.
- Your donation – You can see the various charities we donate to in the ‘Who we donate to’ section of this page.
90% of your donation will be used to help these charities exist and support those in need, and 10% will go to Give and Tech’s operational costs.
- Participate in at least 80% of the lectures and practice sessions
- 8 weeks, 2 hours sessions will help you get all the background required to kick start as an AI PM.
- Official graduation Linkedin badge.
- A network of experienced, motivated PMs
The association’s approach is that the donation is not a payment for the course (it is a donation and the course is a by-product), so there is no direct relationship between the number of sessions the student has had and one refund or another.
If we think the course is not for you after one or two meetings – we will return the full amount and check if it is possible to put someone else in your place.
Participants are being selected based on their professional background and their potential to benefit from the program’s content.
All course lectures, practice sessions and panels will be held in Hebrew only.
Most sessions will be recorded subject to approval by the lecturers. It is recommended to verify with the course staff beforehand.
Coursedonation starting at 1800 nis and you can donate higher if you wish
Registration ends on 30.12.25
Course Staff
Or Hay
Senior AI Product Manager @ monday.com
Rita Kagan
Product Management | AI/Gen-AI ✨
Sagi Angel
Product Manager @ CathWorks
Shani Dotan
Product Management Leader
Ira Katz Galay
Product @hoopo
Almog Omrad
Cyber Security Product Manager @ Microsoft
Shira Hayon
Product Manager @ CTERA
Our Lecturers
Michal Ronen
Senior Product Manager @ Workday
Shai Passal
Senior User Experience Researcher @monday.com
Hadar Weinberger
AI Product Leader | Co-Founder @ Product For Product
Amichay Even Chen
Gen AI Products @ monday.com | Sr. Product Manager
Tal Elor
Co-Founder | AI Product Management
Shira Weinberg Harel
Product and AI Consultant
Roy Leiser
Product Manager @ Meta
Or Hay
Senior AI Product Manager @ monday.com
David Columbus
AI Architect @ Siemens DI SW
Nir Solomon
Product @ Meta
Tomer Simon
Principal AI Product Manager @ AIDOC
Keren Katz
Senior Group Manager – Product, Threat Research and AI @ Tenable
Jonathan Kahati
Senior Product Manager at Microsoft Excel | Mentor Certificate
Shelly Shmurack
Data PM | Product Management Podcaster, Speaker & Mentor
Oren Saban
Co-founder & CPO @ Mate
Course Syllabus
In the course of 8 sessions, we’ll review the basics concepts of machine learning, and how they interact with the world of product management. We will discuss product management processes and methodologies and how we can use them to build ML products.
Course intro, AI PM role, and CRISP-DM framework
Supervised/unsupervised learning, deep learning, and evaluation
LLM talk – transformers and prompt engineering.
How to build your agent
what AI evals are there? What to choose? How to assess your model?
GenAI tools + practice group time about the previous lessons
Designing AI-driven UX and building responsible, ethical AI, security
working with DE, data annotators, DS, ML – who to talk the same language
Working with cross-functional teams and staying current in AI