At 5-10 hours/week
Get access to classroom immediately on enrollment
No prior experience is required.See detailed requirements.
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.
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.Create a Medical Image Annotation Data Set with Figure Eight
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.Build a Model with Google AutoML
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.Capstone Project
from industry experts
Personal career coach and
VP of Product at Figure Eight
Alyssa 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.
Senior HCI Developer at Figure Eight
Kiran 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.
Associate Product Manager at Figure Eight
Kirsten 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.
Director of Products at Figure Eight
Meeta Dash is Director of Products at Figure Eight, 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.
Numbers don't lie. See what difference it makes in career searches.*
Career-seeking and job-ready graduates found a new, better job within six months of graduation.
Average salary increase for graduates who found a new, better job within six months of graduation.
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.
This program is designed to upskill practicing product managers to build AI-powered products and bring value to their business using AI.
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.
There is no application. This Nanodegree program accepts everyone, regardless of experience and specific background.
There are no technical prerequisites. This course is intended for professionals who have some familiarity with product management and basic data analysis.
If you need to review basic data analytics skills, we recommend the Intro to Descriptive Statistics course.
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.
Please see the Udacity Nanodegree program FAQs for policies on enrollment in our programs.
There are no specific hardware or software requirements for this program, other than access to the internet and a 64-bit computer.