Beyond the Hype: A Data Engineer's Hands-On Guide to AI

Feeling like AI tools aren't actually helping with your daily work?

We’ll go hands-on with real-world examples and tips on how to use AI smarter as a Data Engineer.
We'll learn to write better prompts and rules, choose the right models, and work effectively with tools and agents.

We'll also cover how to critically review AI output and get real about its current limits. Finally, we'll share the best tips for turning AI into a personal assistant that does all the blackwork.

Hebrew session