Real-world projects from industry experts
With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.
Become an AI Product Manager
Nanodegree Program
Learn to develop AI products that deliver business value. Build skills that help you compete in the new AI-powered world.
04Days07Hrs49Min08Sec
Estimated time
2 Months
At 5-10 hours/week
Enroll by
August 10, 2022
Get access to classroom immediately on enrollment
Prerequisites
No Experience Required
In collaboration with
What you will learn
AI Product Manager
Estimated 2 MonthsYou’ll learn how to evaluate the business value of an AI product. You’ll start by building familiarity and fluency with common AI concepts. You’ll then learn how to scope and build a data set, train a model, and evaluate its business impact. Finally, you’ll learn how to ensure a product is successful by focusing on scalability, potential biases, and compliance. Along the way, you’ll review case studies and examples to help you focus on how to define metrics to measure the business value for a proposed product.
Prerequisite knowledge
No prior experience is required.
Introduction to AI in Business
Gain foundational knowledge of AI and machine learning, how to develop a business case for an AI application, and how and when to use AI in a product.
Creating a Dataset
A high-quality training data set is essential for machine learning models. Learn how to create a high-quality dataset, including how well the data fits a particular use case.
Building a Model
Learn how a neural network produces a decision and how “training” works. You’ll also learn how to use training data and how to evaluate the results of a model.
Measuring Impact and Updating Models
Learn how to measure post-deployment impact, and how to make data-informed improvements on your model. You’ll also learn how to avoid unwanted bias, ensure security and compliance, and how to scale your product.
All our programs include:
Technical mentor support
Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you, and keeping you on track.
Career services
You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.
Flexible learning program
Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
Program offerings
Class content
- Real-world projects
- Project reviews
- Project feedback from experienced reviewers
Student services
- Technical mentor support
- Student community
Career services
- Github review
- Linkedin profile optimization
Succeed with personalized services.
We provide services customized for your needs at every step of your learning journey to ensure your success.
Get timely feedback on your projects.
- Personalized feedback
- Unlimited submissions and feedback loops
- Practical tips and industry best practices
- Additional suggested resources to improve
1,400+ project reviewers
2.7M projects reviewed
88/100 reviewer rating
1.1 hours avg project review turnaround time
Mentors available to answer your questions.
- Support for all your technical questions
- Questions answered quickly by our team of technical mentors
1,400+ technical mentors
0.85 hours median response time
Learn with the best.
Learn with the best.
Alyssa Simpson-Rochwerger
VP of AI and Data at AppenAlyssa is a customer-driven product leader with proven experience in scaling products from conception to large-scale ROI. As Director of Product Management at IBM Watson, she oversaw the development of a large portfolio of AI products.
Meeta Dash
VP of Product at AppenMeeta Dash is VP of Products at Appen, which builds AI products to help enterprises solve real world use cases. An NIT India BTech and UCDavis MBA, she's built AI and Voice/Video products at Cisco, Tokbox and CA.
Kiran Vajapey
Senior HCI Developer at AppenKiran Vajapey is an HCI Developer working on creating new products and interfaces to advance AI in industry. Kiran has a Master's in CS from Cornell and has previous experience in HR Tech, Fintech, and product architecture.
Kirsten Gokay
Product Manager at AppenKirsten received her Bachelor’s degree in Linguistics from UC Davis. With a background in Customer Success, she’s passionate about solving complex problems with easy-to-use products.
Andrea Butkovic
Product Manager at AppenAndrea Butkovic is a product manager focused on creating machine learning powered annotation tools for AI teams at Appen. Andrea has a degree in Geography from UC Berkeley with a focus in Cartography.
Become an AI Product Manager
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Best Value
Learn
Develop products that leverage AI by learning how AI can influence your business, how to scope and train AI models, and how to measure success.
Average Time
On average, successful students take 2 months to complete this program.
Benefits include
- Real-world projects from industry experts
- Technical mentor support
- Career services
Program details
Program overview: Why should I take this program?
Why should I enroll?
AI is changing the world around us at an astounding pace. For many, Artificial Intelligence remains a mystery, and how to leverage this technology is not always clear.
This program is designed for students who want to take advantage of AI, but don’t want or need to learn the full technical implementation of neural networks and machine learning models. You’ll learn how to leverage AI in the business world, from scoping datasets, testing machine learning models, and crafting a proposal for a new product powered by AI. Along the way you’ll build fluency in AI concepts.What jobs will this program prepare me for?
This program is designed to upskill practicing product managers to build AI-powered products and bring value to their business using AI.How do I know if this program is right for me?
This program is intended for anyone who wants to gain fluency and understanding of AI use cases. If you want to learn how to leverage AI, including how to build a dataset and how to evaluate different machine learning models without needing to code, this program is for you.
Enrollment and admission
Do I need to apply? What are the admission criteria?
There is no application. This Nanodegree program accepts everyone, regardless of experience and specific background.What are the prerequisites for enrollment?
There are no technical prerequisites. This course is intended for professionals who have some familiarity with product management and basic data analysis.If I do not meet the requirements to enroll, what should I do?
If you need to review basic data analytics skills, we recommend the Intro to Descriptive Statistics course.
Tuition and term of program
How is this Nanodegree program structured?
The AI Product Manager Nanodegree program is comprised of content and curriculum to support 3 (three) projects. We estimate that students can complete the program in two (2) months working 10 hours per week.
Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.Can I switch my start date? Can I get a refund?
Please see the Udacity Nanodegree program FAQs for policies on enrollment in our programs.How long is this Nanodegree program?
Access to this Nanodegree program runs for the length of time specified above. If you do not graduate within that time period, you will continue learning with month-to-month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.
Software and hardware: What do I need for this program?
What software and versions will I need for this program?
For this program, you will need a desktop or laptop computer running recent versions of Windows, Mac OS X, or Linux, and an unmetered broadband Internet connection. There are no additional hardware or software requirements for this program, other than those outlined on Udacity's general Technology Requirements page.