AI Product Management 101
AI Product Management 101
4 Days
·Cohort-based Course
Leverage data and collaboration to build higher-quality products and unleash future growth.
AI Product Management 101
4 Days
·Cohort-based Course
Leverage data and collaboration to build higher-quality products and unleash future growth.
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Hosted by
Prasant Sudhakaran
Founder, Data Scientist | Created multiple venture-backed AI-based products
Prasant Sudhakaran
Founder, Data Scientist | Created multiple venture-backed AI-based products
Course overview
AI Product Management 101
During this course, you will understand what it takes to be an effective AI Product Manager. Develop an intuition for how AI works - learn to leverage it to build products that users love, fix problems, iterate faster, and grow your influence within the firm.
Who is this course for
01
Product Managers looking to pivot towards AI/Data Products
02
Data Scientists looking to understand the essentials of AI and Data Product Management
03
Founders wishing to be effective managers of their Data Science teams
Course Objectives
Learn AI/Machine Learning fundamentals for Product Management
Understand how the role of an AI Product Manager is different to a regular Product Manager
Understand how to leverage data effectively, to lead a data-driven business strategy
Source the right data for the right project, every single time
Adopt a Product Mindset, iterating your way to Product Market Fit
Learn to communicate data science problems to a non-technical audience
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AI Product Management 101
Meet your instructor
Prasant Sudhakaran
In the past, I co-founded Tribal Credit (Corporate Cards for Startups) and Aingel (Moneyball for VC), acted as a Venture Partner for Beni VC, and taught Databases and Advanced Python at NYU. I have built AI based products, managed teams, raised Venture Capital, and I understand the challenges of converting code to a product users love.
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AI Product Management 101
Course syllabus
01
Machine Learning 101
02
Product Management Fundamentals
03
Product Management for AI/Data Products
04
Sourcing Data for Projects and Products
05
Rapid Iterations: The road to Product-Market Fit
06
Understanding Model Performance Metrics
07
Managing AI/Data Teams
08
Data Privacy and Ethics
Course schedule
4-6 hours per week
Friday, 16 September - Sunday, 18 September
5:00pm - 7:00pm EST
Subject to change - students will be notified ahead of schedule so that attendance can be planned.
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AI Product Management 101
Learning is better with cohorts
Active learning, not passive watching
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
What happens if I can’t make a live session?
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AI Product Management 101
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