AI Product Management- Technical and Advanced Concepts

5 Weeks

·

Cohort-based Course

This 5-week intensive course explains AI product technicalities and provides students with hands-on experience.

Previously at

Meta
Spotify
Boston College
Instagram

Course overview

Dive deep into technical foundations as an AI product manager

This comprehensive course is designed for product managers aiming to build strong technical understanding in the rapidly evolving AI industry. It builds on the AI PM 101 class and covers topics ranging from core AI and ML concepts to AI model development processes and scaling AI products.


Learning Outcomes:

- Comprehensive understanding of AI technologies

- Ability to manage AI product development cycles effectively.

- Skills to collaborate with technical teams and integrate AI strategies with business goals.

- Detailed understanding of the Generative AI technologies, applications and tools.

- Technologies and tools to scale AI products.

Who is this course for:

01

Aspiring product managers looking to understand AI product development techniques and processes.

02

Software engineers looking to transition into AI product management.

03

Students looking to start their product career in AI and would like to learn core AI concepts in detail while building practical knowledge.

What Derya will cover in 5 weeks:

AI model building and evaluation techniques


AI Data Strategy


AI Model development process


Skills that are needed to measure success for AI Products.


Skills to work with technical teams

Skills to effectively communicate non technical stakeholders

Tools and Techniques to scale AI products

Transformer Architecture and LLMs

Skills and Tools to build your first AI Agent

What’s included

Derya Isler

Live sessions

Learn directly from Derya Isler in a real-time, interactive format.

Lifetime access

Go back to course content and recordings whenever you need to.

Community of peers

Stay accountable and share insights with like-minded professionals.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Course syllabus

5 live sessions • 41 lessons • 7 projects

Week 1

Apr 28—May 4

    Data Strategy is your AI Strategy

    • May

      1

      Data Strategy: Building data pipelines and feedback loops

      Thu 5/19:00 PM—10:00 PM (UTC)
    8 more items

Week 2

May 5—May 11

    AI Models Deep Dive

    • May

      8

      AI Models Deep Dive

      Thu 5/89:30 PM—10:30 PM (UTC)
    11 more items

Week 3

May 12—May 18

    AI Model Evaluation & Measuring Success

    • May

      15

      Model Evaluation and Measuring Success

      Thu 5/159:30 PM—10:30 PM (UTC)
    6 more items

Week 4

May 19—May 25

    Deploying and Scaling AI Products

    • May

      22

      Scaling AI Products

      Thu 5/229:30 PM—10:30 PM (UTC)
    8 more items

Week 5

May 26—Jun 1

    Generative AI

    • May

      29

      Generative AI for Product Managers

      Thu 5/299:30 PM—10:30 PM (UTC)
    8 more items

Post-course

    Capstone

    1 item

Bonus

    AI product career: how to land an amazing AI PM job

    2 items

    AI Product Ecosystem

    4 items

What people are saying

        Derya is one of the most technical product leaders I have met. She explained technical concepts such as reinforcement learning, transformer architecture in a way that was easy for us to understand and she did a great job talking about the role of AI PMs during model development.
Corina Adams

Corina Adams

Sr. Product Manager
        I took Derya's AI PM 101 class first and this course is a good evolution after the 101 one. In 101 class she covers the basics if AI product development and she talks about more tactical and technical aspects in this course. The best part was we built our own AI products.
Frank N.

Frank N.

Project Engineer

Meet your instructor

Derya Isler

Derya Isler

Derya is an AI executive with over 15 years of experience creating AI products that reach billions of users globally. She has successfully led teams at major platforms such as Instagram Reels at Meta and Spotify's Personalization team—the minds behind the beloved Daily Mix and Discover Weekly playlists. Her professional journey spans from startups to global corporations in industries like finance and e-commerce. Derya holds a B.S. in Computer Engineering and an MBA.

Beyond her professional accomplishments, she actively empowers women in technology as the founder of the Women in Product Boston Chapter. She also educates and inspires future leaders by teaching Machine Learning and Product Management at Boston College.

Additionally, Derya is the founder of AI Product Master and Boston AI Institute, organizations that have helped hundreds of individuals and companies successfully level-up their AI skills.

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AI Product Management- Technical and Advanced Concepts

Course schedule

6-8 hours per week

  • Thursdays

    5:30pm - 6:30pm EST

    Live classes with me and industry experts to go deeper into AI technical concepts and build your first AI product.

  • Weekly projects

    3 hours per week

    Every week, you'll work on a project to strengthen your understanding. Come to the class with an idea or a user problem you want to solve and by the end of the 5 weeks, you will have an AI product prototype to solve the problem of your choice!

  • On-demand resources

    3 hours per week

    You'll access instructor-recorded videos, industry expert content, and curated reading materials at your own pace. New resources are added weekly to enhance your understanding of each topic through multiple learning formats.


Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Frequently Asked Questions

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AI Product Management- Technical and Advanced Concepts