Bespoke Datasets for AI Products
Master AI product development with focus on multimodal data and custom datasets
Overview
AI products are constrained as much by data quality and availability as by model capability. This course explores how PMs define data requirements, evaluate sourcing strategies, and design datasets that support reliable product behavior. It highlights the tradeoffs between speed, accuracy, and scalability, helping teams decide when to invest in bespoke data pipelines versus off-the-shelf solutions. Best for PMs working closely with ML teams who need to shape the data strategy behind AI-enabled features.
Instructors
Related Courses
These recommendations prioritize the same primary tag first, then broader tag overlap, then shared category context.
AI-Powered Product Analytics
Applied Generative AI for Data Professionals
Master GenAI tools and techniques for practical applications
Marketing Attribution in the Age of AI
Learn how to measure the effectiveness of your marketing efforts
The Product Management for AI & Data Science Course
Master AI & data science product management fundamentals for successful project leadership
The Product Management for AI & Data Science Course
Master AI & data science product management with real-world applications and industry best practices
Vibe Coding Data-Enabled AI Apps
Learn vibe coding so you can design, build, and launch real AI powered apps in 4 weeks without becoming an engineer.