cancel
Showing results for 
Search instead for 
Did you mean: 
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.
cancel
Showing results for 
Search instead for 
Did you mean: 

Learning Events

View:
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! 🚀
FY Q2 Learning Festival.png
🚀 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 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! 📚🎓🧑‍💻 See you on the leaderboard.