AI Product Management 101

5 Days

·

Cohort-based Course

AI Essentials for Product Managers: Navigating Data-Driven Innovation & Growth

Course overview

AI Product Management 101

Crafting AI-Driven Products: A Guide for Product Managers.


Dive into the transformative world of AI with this course, tailored for Product Managers eager to pioneer AI-centric solutions.


Grasp the intricacies of AI, harness its capabilities, and lead the charge in crafting innovative products that resonate with users. Position yourself at the forefront of the AI product revolution and steer your team with confidence and vision.

Who is this course for

01

Product Managers aiming to integrate AI into their products and strategies.

02

Data Scientists keen on bridging the gap between technical expertise and product vision.

03

Tech Entrepreneurs and Founders looking to harness AI for business growth and effective team management.

04

Business Strategists and Consultants wanting to understand the impact of AI on product development and market dynamics.

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

Course syllabus

Week 1

Jun 24—Jun 28
    Nothing scheduled for this week

Post-course

    Introduction to AI and Building AI-Driven Products

    4 items

    Data Management and Iterative Development

    3 items

    Leading AI Teams and Ethical Considerations

    3 items

Bonus

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AI Product Management 101

Meet your instructor

Prasant Sudhakaran

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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Course schedule

4-6 hours per week

  • Friday, 3 March - Sunday, 5 March 2023

    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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Learning is better with cohorts

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

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