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Stay updated on Databricks 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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Friday, January 9, 2026

🚀 Grow Your Skills and Earn Rewards! 🚀 📅 Mark your calendar: January 09 – January 30, 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 in early February after the event wraps up. ⚠️ 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 and to qualify for the incentives. Start exploring our learning pathways below! LEARNING PATHWAY CUSTOMER ACADEMY ENROLLMENT LINKS LEARNING PATHWAY 1: ASSOCIATE DATA ENGINEERING QUALIFICATION CRITERIA: 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 Declarative Pipelines DevOps Essentials for Data Engineering LEARNING PATHWAY 2: PROFESSIONAL DATA ENGINEERING QUALIFICATION CRITERIA: Please complete all 4 modules from the Data Engineer Learning Plan Databricks Streaming and Lakeflow Declarative Pipelines Databricks Data Privacy Databricks Performance Optimisation Automated Deployment with Databricks Asset Bundles LEARNING PATHWAY 3: DATA ANALYSTS QUALIFICATION CRITERIA: 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 QUALIFICATION CRITERIA: 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 QUALIFICATION CRITERIA Please complete both modules from the Machine Learning Practitioner Learning Plan Advanced Machine Learning Operations Machine Learning at Scale LEARNING PATHWAY 6: GENERATIVE AI ENGINEERING QUALIFICATION CRITERIA: Please complete all 4 modules from the Generative AI Engineering Learning Plan Generative AI Solution Development Generative AI Application Development Generative AI Application Evaluation and Governance Generative AI Application Deployment and Monitoring LEARNING PATHWAY 7: APACHE SPARK DEVELOPER QUALIFICATION CRITERIA: Please complete all 4 modules from the Apache Spark™ Developer Learning Plan Introduction to Apache Spark™ Developing Applications with Apache Spark™ Stream Processing and Analytics with Apache Spark™ Monitoring and Optimizing Apache Spark™ Workloads on Databricks LEARNING PATHWAY 8: DATA WAREHOUSING PRACTITIONER QUALIFICATION CRITERIA: 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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