EMEA | Monthly Hands-On Workshop
Databricks Foundational Workshops
AI Workshop 18 February
SQL Workshop 25 March
Unity Catalog Workshop 8 April
The Foundational Workshop Series is back — and more interactive than ever. Each month, join live virtual sessions led by expert instructors, complete with guided labs, Q&A and practical exercises.
Whether you are a Data Engineer, Data Analyst, Data Scientist, Data Architect, Apps Developer, or other practitioner, these workshops are designed to help you build confidence with Databricks — from governed data foundations to SQL analytics and AI use cases. Check out the agenda below.
Upcoming Workshops
Building AI Systems with Databricks: From Concept to Deployment
Wednesday, 18 February 2026, 9 AM GMT | 10 AM CET
Discover how to build and manage AI models with Databricks, combining machine learning and Generative AI. Learn to enhance ML workflows with tools like agent workflows and deploy AI projects using your governed data for secure, scalable innovation.
Embark on a journey into the transformative world of Artificial Intelligence with the Databricks Platform, where governed data meets cutting-edge AI innovation. Learn how to enhance your traditional machine learning models by integrating generative AI capabilities, such as agent workflows, to unlock new levels of intelligence and automation. In just 90 minutes, this workshop will equip you with the skills to initiate, develop, and manage AI models that generate text, images, and more—all while leveraging your trusted data securely with Unity Catalog.
Discover how Databricks empowers you to combine the power of ML and generative AI for real-world applications, transforming business solutions, creative processes, and beyond. This hands-on session blends foundational theory with practical techniques, making it accessible to all skill levels. Join us to take the first step toward harnessing AI's full potential and revolutionising your data-driven strategies.
At this event, you will get the chance to:
- - Learn how to utilise vector search within Databricks to enhance your Generative AI applications, making it easier to find and retrieve information based on similarity.
- - Get hands-on experience with embedding models to understand how data can be transformed into a format that generative models can use more effectively for tasks like recommendation systems or content generation.
- - Dive into the AI Playground on Databricks to experiment with foundational models, explore various AI functions, and see how they can be applied in real-world scenarios.
- - Understand how to pull open-source foundational models into your workflows, integrating them into experiments and pipelines for generating text, images, and more.
- - Govern all your AI assets using Unity Catalog
Databricks SQL in Action: Intelligent Data Warehousing, Analytics and BI Workshop
Wednesday, 25 March 2026, 9 AM GMT | 10 AM CET
Most organisations run complex cloud data architectures that silo applications, users and data. As a result, most analysis is performed on stale data and there’s no single source of truth of data for analytics - making it difficult to scale trusted insights across teams.
Join this interactive hands-on workshop to learn how Databricks SQL enables a multicloud lakehouse architecture that delivers data warehouse performance at data lake economics — with up to 12x better price/performance than traditional cloud data warehouses. You’ll discover how data architects can unify infrastructure and governance, while data analysts and BI teams can work with the freshest, most complete data—and accelerate insights using Databricks’ native AI/BI capabilities along with their favourite BI tools.
Whether you’re building a scalable foundation or delivering insights to the business, this workshop is designed to help you modernise your analytics stack and make AI-powered BI a reality.
In this workshop, you’ll learn:
- - How the Data Intelligence Platform and Databricks SQL support a unified, multicloud lakehouse architecture
- - How to manage and monitor compute, data access, and users across your lakehouse using Databricks SQL
- - How data teams and analysts can query directly on your data lake using the built-in SQL editor, AI/BI or their preferred BI tools.
- - How to use AI-assisted features like AI-assisted code completion, automated dashboard creation and natural language querying via AI/BI Genie, to increase productivity and scale self-service analytics.
Unity Catalog: Unified, Open Governance for Data & AI
Wednesday 8 April 2026, 9 AM BST | 10 AM CEST
Effective governance is essential to democratising data and AI in the age of LLMs and generative AI. Enterprises struggle with fragmented governance across databases, warehouses, lakes, and diverse data formats, which complicates discovery, access permissions, data usage, audits, and sharing.
Additionally, users often cannot access the right data from their preferred tools, leading to vendor lock-in. Managing ML models and AI tools for regulatory compliance adds another layer of complexity.
Databricks Data Intelligence Platform features Unity Catalog, a unified and open governance solution for data and AI. Unity Catalog enables organisations to seamlessly govern structured and unstructured data, machine learning models, notebooks, dashboards, and files across any cloud or platform. With wide interoperability across the Delta and Iceberg ecosystems, users can access data effortlessly from any tool of their choice, ensuring flexibility and eliminating vendor lock-in.
In this session, you will learn how to:
- - Create a unified catalog for structured/unstructured data, ML models, and features, AI tools
- - Utilise context-aware natural language search and discovery
- - Implement access permissions and audit data access
- - Access data and AI assets from any tool open APIs
- - Use AI to monitor data and ML pipeline quality
- - Share data effortlessly across clouds, regions, or platforms with open source Delta Sharing
Speakers
Carlos Rodrigues
Sr. Specialist Solutions Architect
Databricks
Udaybhanu Gaddam
Senior Solutions Engineer
Databricks
Arijit Mazumdar
Solutions Architect
Databricks
Mike Dobing
Senior Specialist Solutions Architect
Databricks