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.

Intermediate

1 week

Real-world Projects

Completion Certificate

Last Updated September 11, 2024

Skills you'll learn:

Model performance metrics • Product roadmaps • Dataset annotation • Rice framework

Prerequisites:

Product management basics • AI fluency

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

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.