Staging environment

Build an AI powered recommendation system (in one hour)

Hosted by Shreyans Bhansali

242 students

What you'll learn

The magic of vector embeddings

Transform any type of data into powerful representations that capture deep semantic meaning and relationships.

Connect different data types in a universal space

Learn how to compare apples to oranges - discover techniques to meaningfully relate users, content, products, and more.

Build a production-ready recommendation engine

Take your knowledge from theory to practice by implementing a real recommendation system that can scale and adapt.

Why this topic matters

Recommendation systems power all kinds of digital experiences that we interact with daily, from content discovery to product suggestions. By understanding embeddings, you'll learn how to build a simple but powerful recommendation systems yourself, opening up possibilities for personalization across any domain where users interact with content or products.

You'll learn from

Shreyans Bhansali

Co-founder / CTO at Maven. Formerly Google and 1st engineer at Venmo.

Shreyans Bhansali is currently co-founder and CTO of Maven. He was previously the 1st engineer at Venmo, and co-founded Socratic, an AI powered education app acquired by Google.

Previously at Google, Venmo, Socratic

Google
Venmo
Socratic
© 2025 Maven Learning, Inc.