AI 4 PMs

Learn how to build AI based products in 9 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 9-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 4 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
  • Computer vision
  • Generative AI
  • LLMs
  • Product management practices in the AI field
  • Model deployment
  • User experience in AI products
  • Ethical dilemmas leading AI products
  • Career path as AI Product Manager

Things you should know

Starting on May 1st, the program will last for 9 weeks, every Wednesday evening between 19:30-21:30. 

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 1st, the program will last for 9 weeks, every Wednesday evening between 19:30-21:30. 

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 4 years of practical experience or equivalent. 

Familiarity with basic statistics is required.

Recommended to have a technical background.

  1. 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’). 

  1. Application Review – We go over all applications and make sure they meet our course requirements.
  2. 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 with a set range of  ₪3000 – ₪5000. 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.

  1. 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
  • 9 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.

Who We Donate To

Course Staff

Or Hay

Senior Product Manager at Microsoft Industry AI

Our Lecturers

Or Hay

Senior Product Manager at Microsoft Industry AI

Avi Luski

Head of Data Products /Process Mining/ Fintech/Life long Learner/Mentor/Data Science/SAP GURU/Fraud Detection/Audit-Tech

Course Syllabus

In the course of 9 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.

  1. Course overview
  2. AI PM role responsibilities, partners and processes intro
  1. Basic concept, terms and implementation of Machine Learning
  2. Everything about data: from pre-processing, labeling, data quality and bias in data
  1. Supervised and Unsupervised learning
  2. Model evaluation metrics and how to use them for Product decisions
  1. Technical background of two concepts
  2. Practical implementation and usage
  1. Technical background of two concepts
  2. Practical implementation and usage
  1. Common methodologies for AI product management
  2. Focusing on Crisp DM method for AI product management
  1. A technical take on the architecture of AI model in production
  1. How to define the User experience of an AI product
  2. Ethical dilemmas leading AI products

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