[Udacity] AI Product Manager ND v1.0.0
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Become an AI Product Manager
Learn to develop AI products that deliver business value. Build skills that help you compete in the new AI-powered world.
ESTIMATED TIME
2 Months
At 5-10 hours/week
ENROLL BY
September 25, 2019
Get access to classroom immediately on enrollment
PREREQUISITES
No Experience Required
See prerequisites in detail
IN COLLABORATION WITH
What You Will Learn
SYLLABUS
AI Product Manager
You’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.
Estimated 2 Months
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.
CREATE A MEDICAL IMAGE ANNOTATION DATA SET WITH FIGURE EIGHTBuilding 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.
BUILD A MODEL WITH GOOGLE AUTOMLMeasuring 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.
CAPSTONE PROJECT
NEED TO PREPARE?
There are no requirements to enroll in this program.
Learn with the best
Alyssa Simpson-Rochwerger
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.
Kiran Vajapey
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.
Kirsten Gokay
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.
Meeta Dash
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.
GET STARTED
Become an AI Product Manager
LEARN
AVERAGE TIME
BENEFITS INCLUDE
- Real-world projects from industry experts
- 1-on-1 technical mentor
- Personal career coach & career services
Size: 741.34 MB
https://www.udacity.com/course/ai-product-manager-nanodegree–nd088.