Leveraging Data with AI

Course

This course is for product managers who want to build AI products. It does not require any prior familiarity with AI. You'll start by learning how AI can be applied, the different types of AI, data needs for AI, and the AI product lifecycle. Then, you'll dive deeper into two types of AI that can leverage existing datasets: personalization and forecasting. You'll learn some technical details about how these models work and how to evaluate them, and practice what you've learned with hands-on exercises. Finally, you'll pull this all together into a project where you'll develop a PRD for an AI-enabled gift recommendation system in an e-commerce setting.

Intermediate

1 week

Real-world Projects

Completion Certificate

Last Updated September 11, 2024

Skills you'll learn:

Model performance metrics • Types of ML applications • Recommendation engine fluency • AI business context

Prerequisites:

Product management basics

Course Lessons

Lesson 1

Using AI and Machine Learning in Business

Discover how AI and ML technologies can revolutionize business processes, from automating tasks to enabling smarter decision-making and innovation for a competitive edge.

Lesson 2

AI Personalization and Unsupervised Machine Learning

Learn how techniques such as recommendation engines and clustering algorithms can be used to create personalized product experiences.

Lesson 3

Predicting the Future with AI

This lesson covers regressions and time series basics, how they're used in industry, and how to consider the data requirements to train these models.

Lesson 4 • Project

Product Requirements Document (PRD) for an AI-Enabled Gift Recommendation System MVP

Create a PRD for an AI-enabled gift recommendation system that leverages existing customer data to encourage gift purchases on an e-commerce platform

Taught By The Best

Jasmine Lawrence Campbell

Sr. Product Manager, NVIDIA

Jasmine Lawrence is an accomplished Product Manager and founder with a wealth of experience creating innovative consumer and developer-focused products. Her journey includes notable roles at NVIDIA, Cruise, Everyday Robots (Google), Facebook, Softbank Robotics America, and Microsoft, showcasing her versatility and expertise.

Anurag Srivastava

Senior Data Scientist and Product Manager

Anurag Srivastava excels in AI-driven projects across healthcare and finance. Currently, he aids the British Columbia Government in alleviating poverty and homelessness. He developed the world's first medical LLM and a personalized LMS. He has a Master’s in Data Science.

Leo Zhu

Product Manager, BazaarVoice

Leo Zhu is a Product Manager at BazaarVoice, where he uses AI to influence shopping behavior. He has formerly worked as a Product Manager for Real Estate and Education Technology companies, and has over 10 years of teaching experience across Business Analytics and the Life Sciences.

Brad Nemer

VP of Product Development at Hypermatter

Builds great products — and great teams. Fluent across the entire product development lifecycle from strategy to team leadership to rolling up the sleeves for user stories and rapid prototyping. Pioneered the world’s first MBA + Master of Design. Educator at Stanford d.School and IIT Institute of Design.

The Udacity Difference

Combine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly.

Demonstrate proficiency with practical projects

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

Gain proven experience
Retain knowledge longer
Apply new skills immediately

Top-tier services to ensure learner success

Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.