Generative AI Products

Course

This course is for product managers who are building products that contain GenAI features. It starts with teaching some underlying principles about LLMs and conversational AI, then looks at specific ways GenAI can be used in different product features, and what metrics can be used to measure the performance of GenAI features (including information retrieval accuracy and fairness/bias metrics). The course concludes with a project in which you’ll draft a proposal for a GenAI-powered product.

Intermediate

1 week

Real-world Projects

Completion Certificate

Last Updated September 4, 2024

Skills you'll learn:

Model bias analysis • Conversational AI • Data limitations and biases • NLP proficiency

Prerequisites:

AI fluency • Product management basics

Course Lessons

Lesson 1

NLP and Conversational AI

Learn about text-based models and interfaces and their unique challenges and opportunities for AI products

Lesson 2

Building Products with Large Language Models (LLMs)

AI is developing quickly and often sounds more like fiction than reality. In this lesson, we'll cut through the hype and focus on the real-world building blocks that make or break a great product.

Lesson 3

Measuring Impact and Mitigating Bias in AI Products

Explore AI impact assessment, success metric definition, bias identification, mitigation techniques, and best practices in AI product management.

Lesson 4 • Project

Innovative Business Solutions with Large Language Models (LLMs)

For this project, you'll choose a scenario, devise a plan to build a product that serves your target customer well, and create slides to win the support of the project's key stakeholders.

Taught By The Best

Jayden Ziegler

VP of Product at Alembic Technologies, an AI marketing analytics startup

Jayden Ziegler is the VP of Product at Alembic Technologies, an AI marketing analytics startup. He's also an Adjunct Professor at Stanford University, where he teaches on AI and language. Previously, he worked at Apple and Google. Jayden holds a PhD in psychology from Harvard University and a BA from Princeton University.

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.

Noble Ackerson

Director of Product Management (AI/ML Solutions) at Ventera

Noble Ackerson, award-winning AI product leader and ML engineer, brings 15+ years of experience to Udacity's AI Product Manager Nanodegree. He'll share insights on delivering successful, user-centered intelligent products. Noble is also a recognized speaker on AI Ethics and Trust.

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.