Real-world Foundations of AI Product Management

New

4 Weeks

Cohort-based Course

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

Real-world Foundations of AI Product Management

New

4 Weeks

Cohort-based Course

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

Hosted by

Dhruv Ghulati

Head of Applied AI Product, Uber, Prev. exited AI founder

Dhruv Ghulati

Head of Applied AI Product, Uber, Prev. exited AI founder

Previously at

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

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

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

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

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

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

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

19 in-depth lessons

Direct access to instructor

1 project to apply learnings

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

Expand all modules

Week 1
May 11—May 12
Week dates are set to instructor's time zone
Events
May
12
Live Session 1 - Course Materials Runthrough
Live Session 1 - Course Materials Runthrough
Sun, May 12, 3:30 PM - 6:00 PM UTC
Modules
AI Product Management 101
AI Product Management 101
5 Lessons
Case Studies in AI Product Management
Case Studies in AI Product Management
8 Lessons
Week 2
May 13—May 19
Week dates are set to instructor's time zone
Modules
PRD Project
PRD Project
1 Project
Week 3
May 20—May 26
Week dates are set to instructor's time zone
Events
May
23
PRD Problem Set - Q&A session
PRD Problem Set - Q&A session
Thu, May 23, 7:00 PM - 8:00 PM UTC
Week 4
May 27—Jun 1
Week dates are set to instructor's time zone
Events
May
30
Live Session 2 - PRD Problem Set Runthrough
Live Session 2 - PRD Problem Set Runthrough
Thu, May 30, 6:30 PM - 8:30 PM UTC
Modules
PRD Review and runthrough
PRD Review and runthrough
6 Lessons

What people are saying

Dhruv has extensive experience building successful AI products, from start-ups/scale-ups to tech companies like Uber. Dhruv combines a deep understanding of AI with the ability to come up with and execute on highly creative product visions. This is a chance to learn from one of the most inspiring individuals I’ve had the pleasure of working with.

Philip Botros

Senior Machine Learning Engineer, Captur

Dhruv's experience in building AI products helped us drive key business metrics and have a significant impact on the business. He prioritised making data-driven decisions that informed our product strategy.

Luca Peric

Founding Engineer @ MetaVoice

Dhruv will bring a lot of energy and drive to any team he is part of. He helped us establish our initial product development process where a key factor is the link between user conversations + industry insight + internal ideas and the product roadmap.

Martin Abelson Sahlen

CEO & Co-Founder at Alvin

Meet your instructor

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.

Join an upcoming cohort