Databricks
Advanced Learning Festival
📅 September 16 – October 14, 2026
🎉 Join us for a four-week event dedicated to learning, upskilling, and advancing your career in data engineering, analytics, machine learning, and generative AI. Whether you are 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 modules in at least one learning pathway during the event window to receive:
50% OFF any Databricks Certification
20% OFF a yearly Databricks Academy Labs subscription
💬 Incentives distributed: to the email associated with your Customer Academy account on October 19, 2026, after the event concludes.
⚠️ Important: ensure every component of a course is marked complete (including any introduction sections) within the eligibility window so your pathway is properly recorded.
🔑 Registering to redeem your voucher
When you register for your WebAssessor account, please use the same email address associated with your Databricks Customer Academy account. Vouchers for this event are scoped to that email and can only be redeemed by it. If you already have a WebAssessor account under a different email, you can add your Academy email as a secondary email on your existing account.
Choose Your Learning Pathway
Start exploring your options below and enroll through Customer Academy.
🛠️ Associate Data Engineering
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
⚙️ Professional Data Engineering
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
📊 Data Analysts
Complete both modules from the Data Analyst Learning Plan:
AI/BI for Data Analysts
SQL Analytics on Databricks
🤖 Associate ML Practitioners
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
🧠 Professional ML Practitioners
Complete both modules from the Machine Learning Practitioner Learning Plan:
Machine Learning at Scale
Advanced Machine Learning Operations
✨ Generative AI Engineering
Complete all 4 modules from the Generative AI Engineering Learning Plan:
Building RAG Agents with Databricks
Building Agentic Applications on Databricks
Agent Evaluation on Databricks
Deploying and Monitoring Agent Applications on Databricks
🔥 Apache Spark™ Developer
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
🏛️ Data Warehousing Practitioner
Complete all 4 modules from the Data Warehousing Practitioner Learning Plan:
SQL Programming and Procedural Logic in Databricks
Data Modelling Strategies
Building Semantic Models in Databricks with UC Metric Views
Architecting Data Warehouses for Large-Scale Deployments
Read the full FAQ →
Happy learning! 📚🎓🧑💻
Virtual Event
Time: AMER Sept 23 / 9 AM PT EMEA Sept 24 / 9 AM BST / 10 AM CEST APJ Sept 24 / 9:30 AM IST / 12 PM SGT / 1 PM JST/KST / 2 PM AEST (Japanese and Korean captions available)
🔗 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.
AI doesn't have an intelligence problem, it has a context problem. Ground truth for business operations remains scattered across dashboards, documents, tickets, and chats. Join us for a virtual session on how to give AI a unified context layer to deliver trusted answers, operate autonomously, and integrate seamlessly into your team's workflow.
Key Takeaways:
Learn to enable a living context graph that continuously infers business terms, entities, and KPIs.
Ensure AI delivers trusted answers based on individual user access.
Turn insights into autonomous actions, agents, and apps without code.
Bring context-aware AI into Slack, Teams, mobile, and MCP-based experiences.
Agenda (60 Minutes):
Welcome (5 mins)
Solving the AI Context Problem (15 mins)
Under the Hood: How Genie Ontology Works (20 mins)
Genie Ontology in Action: Product Demo (20 mins)
Wrap Up (5 mins)
