Analytics Magic with Databricks Genie
Session Resources: https://bit.ly/43zSF0q Register for this session: https://www.datacamp.com/webinars/ana... Writing SQL is a core skill for analysts—but with AI-powered tools like Databricks Genie, you can query data faster, explore ideas more freely, and spend more time interpreting results instead of writing boilerplate code. This hands-on session will show you how AI can enhance your analytics workflow without replacing your judgment. In this code-along webinar, Guy Bourne, a Senior Solutions Architect at Databricks, will guide you through solving a real-world analytics problem using Databricks Genie. You'll learn how to generate SQL queries with AI assistance, refine and validate results, and build confidence in combining AI speed with analytical rigor.

Build a Dashboard with Databricks Agents

Databricks Live Bootcamp | Day1: Introduction & Data Analytics

Why Data Quality Became Your Competitive Advantage in AI | Nell Thomas, VP of Data at Shopify

QKArize Webinar Closing the AI Reliability Loop 20260428 030014UTC Meeting Recording

Vibe-Code an AI Daily Briefing with Replit, Flask & Oracle

What is Databricks? The Story Behind the Modern Data Platform (Visual Explanation)

What Nobody Tells You About Being a Quant

Designing Data-Intensive Applications: Chapters 1 and 2

Build a Personal Portfolio Website with Lovable

Databricks Genie EXPLAINED (The 58-Minute Full Guide)

Learn Snowflake in 2 Hours| High Paying Skills | Step by Step For Beginners

Skill Issue: Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AI

Databricks Tutorial | Databricks Free Edition Tutorial with End-to-End Data + AI Project

Inside Anthropic, the $965 Billion AI Juggernaut | The Circuit

Learn Databricks in Under 2 Hours

The Agent Cloud: Databricks’ Bet on the Future of AI — Matei Zaharia and Reynold Xin

AI SEO Course for Beginners: Complete AEO Tutorial

Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem

