AI 4 PMs
Learn how to build AI based products in 6 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
A 6-week course designed for experienced product managers, during which you will learn theoretical concepts and the application of the product management process to AI research product development.
Who is it for?
Product managers with at least 2 years of practical experience or equivalent.
Familiarity with basic statistics is required.
Recommended to have a technical background.
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 May 27 to July 1, the program will last for 6 weeks, every Tuesday evening between 19:00-21:00.
It is an online zoom based program, except for the first and the last meetings 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 May 27 to July 1, the program will last for 6 weeks, every Tuesday evening between 19:00-21:00.
It is an online zoom based program, except for the first and the last 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 20.5.25.
- 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
- 6 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.
Course donation is starting at 1500 nis Accordion Content
Registration ends on 20.5.25.
Course Staff

Keren Katz
Lead Product @ APEX

Or Hay
Senior AI Product Manager @ Microsoft
Our Lecturers

Shira Weinberg Harel
Product and AI Consultant

Shahar Aviv
Product @ Microsoft

Sagi Angel
Product Operations Manager @ Picodya

David Columbus
Head of Data & AI @ Stealth

Tomer Simon
Head of Product, Algo at Via

Odi Paneth
Sr. Product Manager @ Microsoft

Oren Saban
Director of PM at Apex
Course Syllabus
In the course of 6 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
LLMs, prompt engineering, and AI agents in products
Problem definition, solution evaluation, release planning, and monitoring
Designing AI-driven UX and building responsible, ethical AI
Working with cross-functional teams and staying current in AI