AI Product Management 101
5 Days
·Cohort-based Course
AI Essentials for Product Managers: Navigating Data-Driven Innovation & Growth
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
Post-course
Introduction to AI and Building AI-Driven Products
Data Management and Iterative Development
Leading AI Teams and Ethical Considerations
Bonus
New Module
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.
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.
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
Stay in the loop
Sign up to be the first to know about course updates.