AI Product Manager

Name: AI Product Manager Nanodegree Program
Rating: 4.4 (268 reviews)

Nanodegree Program

The AI Product Manager Nanodegree Program offers a comprehensive overview of AI and machine learning for business. It covers the basics of AI, how to leverage existing datasets with AI, how to collect or create bespoke datasets for custom AI applications, and how to use the latest Generative AI technologies. In the first project, learners will create a Product Requirements Document (PRD) for a product that incorporates AI personalization and forecasting. Then, in the second project, learners will develop a roadmap for an AI product that requires custom data annotations. Finally, in the third project, learners will build a product strategy for incorporating Large Language Models (LLMs) into an existing product, including plans for measuring both performance metrics and bias metrics.

Intermediate

4 weeks

Real-world Projects

Completion Certificate

Last Updated September 13, 2024

Skills you'll learn:

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

Prerequisites:

Product management basics

Courses In This Program

Course 1 • 1 day

Welcome to the AI Product Manager Nanodegree Program

Lesson 1

An Introduction to Your Nanodegree Program

Welcome! We're so glad you're here. Join us in learning a bit more about what to expect and ways to succeed.

Lesson 2

Getting Help

You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.

Lesson 1

An Introduction to Your Nanodegree Program

Welcome! We're so glad you're here. Join us in learning a bit more about what to expect and ways to succeed.

Lesson 2

Getting Help

You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.

Course 2 • 1 week

Leveraging Data with AI

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.

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

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

Course 3 • 1 week

Bespoke Datasets for Multimodal AI Products

This course is for product managers who want to build AI products that include multimodal data such as text, video, and audio. Leveraging existing data for AI applications is a great way to get started, but bespoke datasets can offer improved accuracy, domain specificity, and, ultimately, a competitive advantage. The course starts with an overview of supervised machine learning techniques, computer vision—the technology that allows computers to "see"—and how computer vision and supervised ML can be combined. Then, you'll learn more about how to create bespoke datasets for computer vision and other applications, and conclude with a walkthrough of the key stakeholders involved in AI product development. In the project, you'll develop a roadmap for an AI-powered video creation app.

Lesson 1

Supervised Machine Learning and Computer Vision

Dive deeper into each step of the supervised machine learning process, from data understanding to model evaluation, then learn how to combine these approaches with computer vision technology

Lesson 2

Data Annotation for AI Products

Learn how data can affect the performance of an AI system and determine whether a bespoke dataset is needed, then practice developing a data annotation plan

Lesson 3

AI Stakeholders and Roadmaps

Collaborate with stakeholders, enhance communication, and develop roadmaps for AI products. Develop skills in influencing without authority and the RICE prioritization framework.

Lesson 4 • Project

Roadmap for Tasty Cuts: An AI-Powered Video Creation App for Home Chefs

Build a roadmap for an AI product that combines computer vision and specialized data annotation needs

Lesson 1

Supervised Machine Learning and Computer Vision

Dive deeper into each step of the supervised machine learning process, from data understanding to model evaluation, then learn how to combine these approaches with computer vision technology

Lesson 2

Data Annotation for AI Products

Learn how data can affect the performance of an AI system and determine whether a bespoke dataset is needed, then practice developing a data annotation plan

Lesson 3

AI Stakeholders and Roadmaps

Collaborate with stakeholders, enhance communication, and develop roadmaps for AI products. Develop skills in influencing without authority and the RICE prioritization framework.

Lesson 4 • Project

Roadmap for Tasty Cuts: An AI-Powered Video Creation App for Home Chefs

Build a roadmap for an AI product that combines computer vision and specialized data annotation needs

Course 4 • 1 week

Generative AI Products

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.

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.

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

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.

Justin Leung

Senior AI Product Manager, Kikoff

Justin Leung is a Senior Product Manager with extensive experience building and growing startups. He has worked across industries including Social media, Consumer marketplaces, Fintech and AI.

Kirubel Tesfaye

Product Manager, PowerSchool

Kirubel Tesfaye ia a Product Manager at a large EdTech company. He come from a computer science background, with a specialty in AI and has mentored and taught students at Product Management bootcamps at various universities. Kirubel is very passionate about education and helping people become great product managers.

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.

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.

Ratings & Reviews

Average Rating: 4.4 Stars

268 Reviews

D'laila P.

February 11, 2023

Superb program

Tavonga M.

January 3, 2023

The course material itself is extremely well-organized and covered a wide range of topics relevant to product management in the AI industry. I feel well-prepared to tackle real-world challenges and am able to apply what I learned to my current job almost immediately.

Tamy M.

November 11, 2022

Loved it. it gave me foundations to udnerstad computer vision, data sets and how models are trained.

Dimitar D.

November 6, 2022

yes, it is really worth the money!

Prabitha P.

October 3, 2022

Its been very insightful!

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.