Staging environment

Real-world Foundations of AI Product Management

3.9 (5)

·

3 Weeks

·

Cohort-based Course

Learn best practices & techniques to launch your own AI products from scratch, through case studies in real AI product development.

Previously at

Uber
Onfido
Bumble

Course overview

Learn the tools, frameworks and fundamentals of AI product development

Built for both AI novices to PMs, to software engineers looking to transition into AI teams and startups, this course should give you the basic frameworks, tools and thought structures to approach any AI problem in a clear, thought through manner.


Be prepared for any problem: We will dive into multiple AI problems and case studies, and examine how to break them down. We will go through some challenges, roadblocks and considerations you might encounter along the way, and how to deal with them effectively, from model development and deployment, to UX and go-to-market strategy.


Hands on work: Students will get the opportunity to draft PRDs for real AI problems, create their own prototypes, and get feedback.


Why learn with me? I've worked on AI/ML teams for over 10 years, led AI/ML initiatives at top companies, and successfully exited an AI startup. My speciality is in applied AI, so I will teach how to apply some of the theories you might learn on other online courses.


Who is this course for

01

Non-technical and semi-technical individuals wanting to learn best practices to ship great AI products from scratch and launch AI companies.

02

PMs looking to move into AI product management trying to understand the differences with normal product management

03

Software engineers getting involved in AI projects and wanting to understand the product side of things

What you’ll get out of this course

Learn frameworks for AI product development

I will share key structures needed to take an AI product problem, break it down and identify the components needed to design a solution. Real examples will help you understand the specifics of AI product management vs. traditional product management.

Dive into real AI case studies

We will look into the challenges that go into building different types of AI solutions. You will gain a practical understanding of how to structure strong AI-led product solutions.

Get the tools to launch your own AI products from scratch

Discover the essential frameworks and tools you should know about, whether trying to build an LLM based product, or a classification system. You will come away with the foundational knowledge that you need to launch your own AI product from scratch.

This course includes

3 interactive live sessions

Lifetime access to course materials

23 in-depth lessons

Direct access to instructor

1 projects to apply learning

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Week 1

May 12

    May

    12

    Live Session 1 - Course Materials Runthrough

    Sun 5/123:30 PM—6:00 PM (UTC)

    AI Product Management - Step by Step

    7 items

    Case Studies in AI Product Management

    9 items

Week 2

May 13—May 19

    PRD Project

    2 items

Week 3

May 20—May 26

    May

    23

    PRD Problem Set - Q&A session

    Thu 5/237:00 PM—8:00 PM (UTC)

Week 4

May 27—May 30

    PRD Review and runthrough

    6 items

Post-course

    Jun

    4

    Live Session 2 - PRD Problem Set Runthrough

    Tue 6/47:00 PM—9:00 PM (UTC)

3.9 (5 ratings)

What students are saying

Meet your instructor

Dhruv Ghulati

Dhruv Ghulati

Head of Applied AI Product, Uber

With 10 years of experience in building and managing deep tech/artificial intelligence products, I have shipped, worked on or advised hundreds of AI startups and dozens of AI problems.


As Applied AI Product Lead for Uber, I manage all our products around document transcription, computer vision, real time and probabilistic prediction products, personalised experiences, airport/travel experiences, traffic forecasting, driver ETA prediction, delivery time prediction, graph learning and much more.


I previously led the largest AI/ML fraud detection squad at identity verification company Onfido, where I shipped computer vision systems to detect document fraud.


I also founded and ran Factmata, one of the first companies in the world to tackle misinformation and disinformation online using AI. I raised $4.5m in funding from prominent investors and launched award-winning API and SaaS products for content moderation and brand safety. Factmata was acquired by Cision in 2022 and the team now powers all AI products.


I am passionate about using AI/ML to solve real-world problems and create positive social change. I have been recognized as Forbes 30 Under 30 in Technology, CogX UK AI Rising Star, and CIDOB Barcelona Centre for International Affairs 35 Under 35.

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Course schedule

4-6 hours over a single month

  • Live Session 1 - AI Product Development

    Sun, May 12, 5:30 PM - 8:00 PM CEST

    Introduction to building AI products, frameworks, AI categories, case studies, problem mapping, with intense Q&A and practical questions. We will set a problem set at the end of the class for the cohort to think through.

  • PRD Problem Set - Q&A Session

    Thu, May 23, 9:00 PM - 10:00 PM CEST

    We will go through any questions the cohort has on the PRDs they are working on, and answer any considerations they should be thinking of.

  • Live Session 2 - PRD Problem Set Runthrough

    Thu, May 30, 8:30 PM - 10:30 PM CEST

    We will go through the specific AI problem from the problem set, and collectively build a requirements document together, thinking through the caveats.

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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Real-world Foundations of AI Product Management