Skills you'll learn:

Bespoke Datasets for Multimodal AI Products
Course
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.
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.
Intermediate
1 week
Last Updated December 23, 2024
Prerequisites:
Intermediate
1 week
Last Updated December 23, 2024
Skills you'll learn:
Prerequisites:
Course Lessons
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
Taught By The Best

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.

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.
The Udacity Difference
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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.
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Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.
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