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Databricks

How lakebase architecture delivers 5x faster Postgres writes Why Talent Transformation Is the Missing Focus of Enterprise AI Public Health Intelligence Shouldn't Require a Data Scientist Mean Time to Detect Is a Data Access Problem First-party audience data is the ad sales relationship now Rethinking Distributed Systems for Serverless Performance and Reliability The AI Scaling Gap Hiding in Digital Native Companies 10 trillion samples a day: Scaling beyond traditional monitoring infra at Databricks AI success starts with clean data, not just better models How nOps Rebuilt Their Cloud Optimization Platform on Databricks Lakebase, and Why Other ISVs Should Too Peril Predicts: Precision Payouts for a Volatile World The foundation of AI scalability: one team, one platform, one operating model The Federal Data Paradox: Rich in Data, Poor in Access Driving Budapest Forward: How BKK Uses Databricks to Transform City Mobility LLM Vs AI: A Practical Guide to Differences, Use Cases, and Tools Model Risk Governance Is Not the Same as Risk Intelligence Generative AI for Business: A Complete Strategy and Implementation Guide Data Science vs Data Engineering: Choosing Analysis or Infrastructure AI Applications: Tools, Use Cases, and Platforms MLOps vs DevOps: A Practical Guide for Data Scientists and IT Teams Top Data Warehouse Tools For Modern Data Analytics Unlocking SAP Business Context in Databricks with Semantic Metadata Delta Sharing The marketing activation gap has a fix: Databricks and Stitch partner to turn data infrastructure into marketing performance Alert Fatigue Is a Business Risk Backstage with Lakebase Shipping Faster isn’t Learning Faster Why Your OEE Dashboard Is Lying to You The Turbine That Tried to Tell You It Was Failing Predicting Readmissions Isn't Enough. Acting in Time Is. Clinical Trials Run Longer Than They Have To. That's a Patient Problem Network Quality Is a Revenue Problem, Not a Technical One Shelf Availability Starts with Better Demand Visibility When Predicting the Next Hit Requires More Than Intuition Approximate Answers, Exact Decisions: New Sketch Functions for Analytics Companies Winning with AI Built the Data Layer First Rethinking SQL ETL for modern data platforms Stripe data now available on Databricks via Databricks Marketplace Databricks and Stripe Projects: Infrastructure Built for Agents Agents are ready but your architecture probably isn't Interoperability Between Unity Catalog and Google BigQuery via Catalog Federation Built In, Not Bolted On: What AI-Native Actually Means in Cybersecurity Operationalizing AI for public sector fraud prevention From months to minutes: Building real-time clinical data pipelines with natural language Agentic Data Engineering with Genie Code and Lakeflow Securely send first-party conversion signals with Snapchat Conversions API on Databricks Marketplace How leading tech companies are killing the builder’s tax with Lakebase Inside one of the first production deployments of Lakebase: LangGuard's agentic workflow governance engine The next generation of Databricks Genie Model Risk Management in 2026: A Banker’s Guide to the Revised Interagency Guidance OpenAI GPT-5.5 now available on Databricks, fully-governed through Unity AI Gateway Operational databases: How they work and when to use them Databricks partners with OpenAI on GPT-5.5 Announcing the Public Preview of Lakeflow Designer Are LLM agents good at join order optimization? How conversational analytics removes the BI bottleneck How to transform document activation workflows with Genie and Agent Bricks Beyond the spreadsheet: how Databricks is delivering the modern CFO in Financial Services AI App Development: Guide To Building AI-Powered Apps IoT in Manufacturing: Strategy, Components, Use Cases, and Challenges Stop Hand-Coding Change Data Capture Pipelines Multimodal Data Integration: Production Architectures for Healthcare AI Personalization Strategies for Media Companies A Modern AI Risk Management Framework Introducing the Databricks Excel Add-in for Business Users Real-Time Decisioning for AI Agents: Why you Need a Customer Context Layer First A Practical Guide to LLM Fine Tuning AI Data Transformation Guide for Data Engineers and Data Scientists Concurrency Control in DBMS: How Locking, MVCC and Optimistic Strategies Keep Data Consistent Bridging data science and marketing: Databricks unveils Delta Sharing integration for Adobe Experience Platform and agentic marketing workflows Take Control: Customer-Managed Keys for Lakebase Postgres Mercedes-Benz Builds a Cross-Cloud Data Mesh with Delta Sharing and Intelligent Replication, Cutting Costs by 66% What Is a Transactional Database? Introducing Genie Agent Mode Governing coding agent sprawl with Unity AI Gateway Governing Coding Agent Sprawl with Unity AI Gateway What is pgvector? Banks Don’t Have an AI Problem – They Have a Data Platform Problem Open Platform, Unified Pipelines: Why dbt on Databricks is Accelerating Why Your Agents Can’t Read Enterprise Documents — and How to Fix It Building with Databricks Document Intelligence and Lakeflow Databricks on Google Cloud: Innovate Faster. Smarter. Together. Introducing the Databricks Connector for Google Sheets: Real-Time, Governed Lakehouse Data in the Sheets Users Love Unity AI Gateway: How to connect agents to external MCPs securely Expanding agent governance with Unity AI Gateway Agentic reasoning in practice: Making sense of structured and unstructured data Agent Bricks: The Governed Enterprise Agent Platform 8 AI and data trends shaping financial services in 2026 Building real-time product search on Databricks Lovable + Databricks: Build Data-Driven Apps at the Speed of Thought Memory scaling for AI agents Powering clinical research innovation: How TriNetX uses Databricks to accelerate drug development Database Branching in Postgres: Git-Style Workflows with Databricks Lakebase How Zalando built a unified data foundation for AI and analytics on Databricks The next era of the open lakehouse: Apache Iceberg™ v3 in Public Preview on Databricks How FSIs eliminate silos between clients, operations, and finance How MakeMyTrip achieved millisecond personalization at scale with Databricks A multi-agent approach to audience intelligence AiChemy: Next-generation agent with MCP, skills and custom data for drug discovery Accelerate business insights with Lakeflow Connect, now with a Free Tier Unlocking Next-Gen Customer Experiences with Data Intelligence for Marketing
Get hands on with agents, vibe coding and more at Data+ AI Summit
2026-04-20 · via Databricks

Limited seats - register by April 30 to save 50% off training

by Pratyarth Rao

Early bird sale : Sign up now get 50% off training, until April 30. Over 70% savings!

Databricks Training and Certification is heading back to San Francisco for Data + AI Summit, from June 14 to June 18, 2026, and we are bringing a completely revamped training catalog featuring the latest in-demand data and AI skills.

Training kicks off early this year, with Sunday and Monday serving as training-exclusive days. This gives you dedicated time to focus entirely on learning without missing the main conference keynotes or breakout sessions. With sessions continuing throughout the week, you have every opportunity to upskill on critical topics across the Databricks platform, including AI agents, vibe coding, data engineering and Lakebase.

Choose from over 20 hands-on courses led by industry experts to build your skills and gain practical, production-ready knowledge. Attendees can also take advantage of discounted onsite certification exams (50% off, at just $100 USD + taxes) and visit the Learning Hub to experience our offerings first-hand.

Here are a few exciting new courses you can look forward to this year:

  • Vibe Coding on Databricks: Explore the agentic coding landscape and learn AI-driven development techniques using Genie Code, Claude Code, and Cursor. You will configure MCP servers and apply structured prompting to build context-aware workflows, ultimately deploying an application on Databricks using your own agent tools.
  • Deploying and Monitoring Agents on Databricks: Learn to build, evaluate, and deploy production-ready AI agents on Databricks Apps using MLflow's ResponsesAgent framework. You will also master observability best practices by using MLflow tracing to capture metrics, analyze responses, and detect anomalies in your production systems.
  • Build Data Pipelines with Lakeflow Spark Declarative Pipelines: Master the essential skills to build data pipelines using Lakeflow Spark Declarative Pipelines (SDP) for incremental batch or streaming ingestion. You will explore core components like streaming tables, materialized views, and temporary views to streamline your data processing.
  • Developing BI Dashboards with AI/BI: Learn to utilize AI/BI Dashboards and AI/BI Genie to democratize business intelligence for your organization. You will design and share dashboards for business insights, manage access, and create Genie Spaces to support self-service analytics on the Databricks Data Intelligence Platform

To help your teams accelerate their AI readiness, we are offering a 50% early-bird discount on all training if you register before April 30th.

Certification offerings

Validate your data and AI skills on Databricks by earning an industry-recognized certification. Exams at Summit will be just $100 on-site, 50% off the regular price. 

The following certification exams will be available :

  1. Data Engineer Associate
  2. Data Engineer Professional
  3. Generative AI Associate
  4. Associate Developer for Apache SparkTM
  5. Data Analyst Associate
  6. Machine Learning Associate
  7. Machine Learning Professional

Attendees who pass a Databricks Certification exam onsite or since last Summit (from June 13, 2025 to Jun 18, 2026) will receive a customized Databricks Certified jacket and gain entry to our exclusive Databricks Certified Lounge.

The final Databricks Certified jacket may differ from the image above.

Learning Hub

Explore the Learning Hub to further your Databricks learning journey. 

  • Hands-on labs: This year, we are thrilled to bring immersive Hands-on Labs directly into the Hub, all built on the Databricks Free Edition.. You can jump into the "Data Detectives” game and solve data mysteries using Genie. If you prefer a deeper dive, walk in anytime for on-demand exercises or join scheduled guided sessions focusing on the newest platform capabilities around AI agents and application development.
  • Skills Development - Connect with Databricks learning experts, to evaluate your team's unique learning requirements. You can also take a comprehensive skills assessment, to pinpoint knowledge gaps and instantly generate a customized learning plan tailored to your goals.
  • Community Hub - Visit the hub to sign up and join the Databricks Community. It's the perfect starting point to collaborate, share insights, and connect with peers to continue your learning journey beyond Summit.

Come see us at the Data + AI Summit to learn more. Register today and sign up by April 30th to get 50% early-bird discount on all training.