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Learning Events
Stay updated on Databricks Learning events, including webinars, conferences, and workshops. Discover opportunities to connect with industry experts, learn about new technologies, and network with peers.
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🚀 Grow Your Skills and Earn Rewards! 🚀 📅 Mark your calendar: 16 March – 03 April, 2026 🎉 Join us for a three-week event dedicated to learning, upskilling, and advancing your career in data engineering, analytics, machine learning, and generative AI. Whether you’re new to the field or aiming to deepen your knowledge, this is a great opportunity to invest in your professional development alongside a global community. 🎟️ Finish all of the modules listed within at least one of the self-paced learning pathways below within Customer Academy during the event window to receive: ✨ 50% discount on any Databricks Certification ✨ 20% discount on a yearly Databricks Academy Labs subscription 💬 Incentives will be distributed to the email associated with your Customer Academy account on April 9, after the event has concluded. ⚠️ Note: Please ensure every component of the course is marked as completed (including any course introduction sections) during the eligibility window to confirm your learning pathway is properly recorded. Please review the FAQ page linked here for further information. Start exploring your learning options below! QUALIFICATION CRITERIA CUSTOMER ACADEMY ENROLLMENT LINKS LEARNING PATHWAY 1: ASSOCIATE DATA ENGINEERING Please complete all 4 modules from the Data Engineer Learning Plan: Data Ingestion with Lakeflow Connect Deploy Workloads with Lakeflow Jobs Build Data Pipelines with Lakeflow Spark Declarative Pipelines DevOps Essentials for Data Engineering LEARNING PATHWAY 2: PROFESSIONAL DATA ENGINEERING Please complete all 4 modules from the Data Engineer Learning Plan: Advanced Techniques with Spark Declarative Pipelines Databricks Data Privacy Databricks Performance Optimization Automated Deployment with Declarative Automation Bundles LEARNING PATHWAY 3: DATA ANALYSTS Please complete both modules from the Data Analyst Learning Plan: AI/BI for Data Analysts SQL Analytics on Databricks LEARNING PATHWAY 4: ASSOCIATE ML PRACTITIONERS Please complete all 4 modules from the Machine Learning Practitioner Learning Plan: Data Preparation for Machine Learning Machine Learning Model Development Machine Learning Model Deployment Machine Learning Operations LEARNING PATHWAY 5: PROFESSIONAL ML PRACTITIONERS Please complete both modules from the Machine Learning Practitioner Learning Plan: Machine Learning at Scale Advanced Machine Learning Operations LEARNING PATHWAY 6:  GENERATIVE AI ENGINEERING Please complete all 4 modules from the Generative AI Engineering  Learning Plan: Building Retrieval Agents on Databricks Building Single-Agent Applications on Databricks Generative AI Application Evaluation and Governance  Generative AI Application Deployment and Monitoring LEARNING PATHWAY 7:  APACHE SPARK DEVELOPER Please complete all 4 modules from the Apache Spark™ Developer Learning Plan: Introduction to Apache Spark™ Developing Applications with Apache Spark™ Stream Processing and Analysis with Apache Spark™ Monitoring and Optimizing Apache Spark™ Workloads on Databricks LEARNING PATHWAY 8:  DATA WAREHOUSING PRACTITIONER Please complete all 3 modules from the Data Warehousing Practitioner Learning Plan: Data Warehousing with Databricks SQL Programming and Procedural Logic in Databricks Data Modelling Strategies   Happy learning! 📚🎓🧑‍💻🧑‍ #Databricks #MachineLearning #DataEngineering #AI #GenerativeAI #DataAnalysis #Upskill #Certification #TechCareers #LearningFestival #DataScience #AICommunity #DatabricksAcademy #DataSkills #AITraining #LearntoEarn  
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Tuesday, March 17, 2026 | 9:00 AM-12:00 PM PT Register for the Workshop Note: Marking RSVP on this Community event does not register you for the workshop. Please use the Register button above to complete your registration on the official event page.   The Databricks Data Intelligence Platform enables organizations to unlock the full potential of their data and AI initiatives. Built on the lakehouse architecture, it provides a unified system to query and manage all enterprise data while delivering an open and governed foundation for analytics, data engineering, and machine learning.   Powered by the Data Intelligence Engine, Databricks understands the unique characteristics of your data to help simplify and accelerate your data and AI workflows — from ETL and data warehousing to advanced analytics and generative AI. Join Databricks and AWS for this live virtual hands-on workshop to learn how to implement a complete data analytics, data engineering, and data science lifecycle using the lakehouse architecture with Databricks on AWS. In this workshop, you’ll learn: How to access and analyze all your data — structured, semi-structured, and unstructured — using the Data Intelligence Platform How to integrate SAP data with the rest of your enterprise data for advanced analytics and AI use cases How to query and visualize lakehouse data using Databricks SQL How to train machine learning models and generate predictions using Databricks on AWS How to track experiments and tune hyperparameters with MLflow How to deploy and serve models using MLflow and other AWS services This instructor-led workshop includes guided hands-on labs that walk you through real-world data engineering, machine learning, and analytics workflows. Agenda 9:00 AM - 9:30 AM Databricks & AWS Introduction 9:30 AM - 10:30 AM Data Engineering Hands-On Lab 10:30 AM - 11:10 AM Data Science and ML Hands-On Lab 11:10 AM - 11:50 AM Databricks SQL Hands-On Lab 11:50 AM - 12:00 PM Q&A  
Turn AI hype into everyday business decisions Join us for the Databricks Learning Festival – Business Edition, a free, global virtual event designed specifically for business professionals looking to unlock the power of data and AI — no deep technical background required.   📅 Event Details Date: April 22, 2026 Format: Virtual (on Uplimit Platform) Session Tracks: Choose the timezone that works best for you and register with the respective links below (Important Note: Clicking on "Yes" on the right hand side under "Will you be attending?" will NOT register you to the session) 09:00 - 12:00 PST [REGISTER HERE] 09:00 - 12:00 GMT [REGISTER HERE] 11:00 - 14:00 SGT [REGISTER HERE] Course: AI/BI for Self-Service Analytics (3 hours, hands-on)   🌍 Why attend? This hands-on learning experience is built for analysts, decision-makers, and business professionals across Finance, Sales, Marketing, and beyond. You’ll learn how to: Make smarter, data-driven decisions in your day-to-day work Turn data into actionable insights using AI/BI Navigate the Databricks Data Intelligence Platform with confidence Apply practical skills immediately through guided exercises   🎓 What to expect ✅ Live, instructor-led training ✅ Hands-on labs (no cost, no setup required) ✅ Live Q&A with Databricks experts ✅ Real-world use cases for business professionals   💡 Who should join? Business analysts Data consumers Decision-makers exploring AI & BI Anyone in the discovery or evaluation stage of Databricks   ✨ Ready to get started? Embark on a hands-on learning journey and discover how to turn data into real business impact. 👉 Register now with below links to secure your spot 09:00 - 12:00 PST [REGISTER HERE] 09:00 - 12:00 GMT [REGISTER HERE] 11:00 - 14:00 SGT [REGISTER HERE] Important Note: Clicking on "Yes" on the right hand side under "Will you be attending?" will NOT register you to the session.   🔗 Stay tuned More details, reminders, and access links will be shared after registration.
We promised something special and here it is. 🎉 We're thrilled to introduce the DAIS 2026 Community Virtual Challenge, open to every member of the Databricks Community, wherever you are in the world. 📅 Opens: May 15, 2026 🔒 Closes: May 31, 2026 🏆 Winners: TBD   What is it? Create a project using Databricks Free Edition, share it with the Community, and compete for a chance to win Community swag.   Here's how to participate 1 🛠️ Create Build any project on Databricks Free Edition – solve something that matters to you, whether it's a business problem, a personal project, or an idea you've always wanted to explore. 2 🎥 Record Record a short demo video of 2–5 minutes, walking through your project and explaining what it does. Upload it to YouTube, Google Drive, OneDrive, or Dropbox.  Make sure the video is accessible – set to "Anyone with the link can view" or share with community@databricks.com before submitting. 3 ✍️ Post Write a post in the Community Articles section describing what you built and what you achieved. No code required – just share your experience and learnings. You may optionally include the demo video, but it is not mandatory. 4 📋 Submit Fill out the submission form with your video link, community post link, and project details. Ready to compete? Submit your video, post & project details 📎 Open Submission Form →   How can you win this? Our judges – Databricks Community Fellows (our elite squad of internal experts) and Community Team – will review every submission and score it across 5 criteria, each worth 10 points: Criteria What we're looking for Points 🌟 Originality How unique and creative is the idea? 10 ⚡ Innovation Does it introduce a fresh approach or solve a problem in a new way? 10 🌍 Real-World Relevance Does the project solve a real problem or have practical value? 10 🛠️ Use of Databricks Free Edition How well did they leverage the platform's features? 10 🎥 Project Showcase Does the video effectively communicate what was built and why it matters? 10 Total 50 Tiebreaker: In case of a tie, the entry with more likes on their project post wins. So share your Community post and get the votes rolling!   🏆 Top 5 Winners ? Swag Awaits Community Swag Databricks Community swag -- shipped to your door. What exactly? That's the mystery. 🤫   🙋 Interested in participating? Drop your RSVP as Yes on this post -- it helps us see who’s working on something cool 👀. And don't forget to 🔗 Submit the Form! Ready to show what you've got? We can't wait to see what the community creates. Good luck everyone! 🚀
Monday, June 15, 2026
Event in progress
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🚀 Grow Your Skills and Earn Rewards! 🚀 📅 Mark your calendar: June 15 – July 6, 2026 🎉 Join us for a three-week event dedicated to learning, upskilling, and advancing your career in data engineering, analytics, machine learning, and generative AI. Whether you're new to the field or aiming to deepen your knowledge, this is a great opportunity to invest in your professional development alongside a global community. 🎟️ Finish all of the modules listed within at least one of the self-paced learning pathways below within Customer Academy during the event window to receive: ✨ 50% discount on any Databricks Certification ✨ 20% discount on a yearly Databricks Academy Labs subscription 💬 Incentives will be distributed to the email associated with your Customer Academy account on July, after the event has concluded. ⚠️ Note: Please ensure every component of the course is marked as completed (including any course introduction sections) during the eligibility window to confirm your learning pathway is properly recorded. Please review the FAQ page linked here for further information. Start exploring your learning options below! Qualification Criteria Customer Academy Enrollment Links Pathway Title & Modules Learning 1 Pathway ASSOCIATE DATA ENGINEERING Please complete all 4 modules from the Data Engineer Learning Plan: Data Ingestion with Lakeflow Connect Deploy Workloads with Lakeflow Jobs Build Data Pipelines with Lakeflow Spark Declarative Pipelines DevOps Essentials for Data Engineering Learning 2 Pathway PROFESSIONAL DATA ENGINEERING Please complete all 4 modules from the Data Engineer Learning Plan: Databricks Streaming and Lakeflow Spark Declarative Pipelines Databricks Data Privacy Databricks Performance Optimization Automated Deployment with Databricks Asset Bundles Learning 3 Pathway DATA ANALYSTS Please complete both modules from the Data Analyst Learning Plan: AI/BI for Data Analysts SQL Analytics on Databricks Learning 4 Pathway ASSOCIATE ML PRACTITIONERS Please complete all 4 modules from the Machine Learning Practitioner Learning Plan: Data Preparation for Machine Learning Machine Learning Model Development Machine Learning Model Deployment Machine Learning Operations Learning 5 Pathway PROFESSIONAL ML PRACTITIONERS Please complete both modules from the Machine Learning Practitioner Learning Plan: Machine Learning at Scale Advanced Machine Learning Operations Learning 6 Pathway GENERATIVE AI ENGINEERING Please complete all 4 modules from the Generative AI Engineering Learning Plan: Building Retrieval Agents on Databricks Building Single-Agent Applications on Databricks Generative AI Application Evaluation and Governance Generative AI Application Deployment and Monitoring Learning 7 Pathway APACHE SPARK DEVELOPER Please complete all 4 modules from the Apache Spark™ Developer Learning Plan: Introduction to Apache Spark™ Developing Applications with Apache Spark™ Stream Processing and Analysis with Apache Spark™ Monitoring and Optimizing Apache Spark™ Workloads on Databricks Learning 8 Pathway DATA WAREHOUSING PRACTITIONER Please complete both modules from the Data Warehousing Practitioner Learning Plan: SQL Programming and Procedural Logic in Databricks Data Modelling Strategies Happy learning! 📚🎓🧑‍💻 See you on the leaderboard.
🚀 Join Our Business Impact Accelerator Sessions! 🚀 🎉 We are thrilled to invite you to the Business Impact Accelerator, a specialized single-session program designed specifically for business professionals, executives, and non-technical teams. If you want to move beyond static dashboards and get immediate, self-service answers directly from your organization's secure data, this accelerator is for you. Through real-world scenarios and hands-on exercises packed into this session, you will learn to interact with data using everyday language, uncover critical insights, and support major decision-making across functions like finance, operations, marketing, and HR. 🎟️ What you will walk away with after attending the session: ✨ Self-Service Mastery: The ability to query complex datasets without waiting on data engineering teams through Genie. ✨ Actionable Outcomes: A gamified business challenge experience where you solve real-world scenarios and present findings. 📋 Who Is This For? This program requires zero SQL or coding knowledge. A basic familiarity with general data concepts (like tables, columns, or metrics) is all you need to get started. 📅 Upcoming Public Classes: Date Time Language Price Jun 30 09 AM - 12 PM (America/Los_Angeles) English Free Jul 01 09 AM - 12 PM (Europe/London) English Free Jul 02 11 AM - 02 PM (Asia/Singapore) English Free Jul 28 09 AM - 12 PM (America/Los_Angeles) English Free Sep 22 11 AM - 02 PM (Asia/Singapore) English Free Ready to Reserve Your Seat? Select your preferred time block from the schedule above, then click the button below to view the official course catalog page and complete your class registration. Go to Course Catalog & Register ➔