EMEA | Monthly Hands-On Workshop
Databricks Foundational Workshops
AI Workshop 13 May
SQL Workshop 10 June
Unity Catalog Workshop 8 July
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
Build, Orchestrate and Improve Multi-Agent Systems with Databricks
Wednesday 13 May 2026 | 9 AM BST, 10 AM CEST
Take a deep dive into building production-grade AI agent systems on Databricks. Using Agent Bricks, you'll construct a Knowledge Assistant grounded in real company data and extend it with an AI/BI Genie-powered structured data agent. Then orchestrate both into a multi-agent supervisor and iteratively improve response quality — all without writing a single line of code.
In 90 minutes, you'll walk away knowing how to combine unstructured and structured data, intelligently route queries across specialized agents and guide agent behavior using natural language feedback.
At this event, you will get the chance to:
- - Ground large language model (LLM) responses in living company knowledge bases and support ticket history using Vector Search
- - Build a Knowledge Assistant agent using pre-built Vector Search indices with no setup required
- - Query structured billing and customer data with Genie using plain natural language over SQL tables
- - Register Genie as an agent and plug it into a multi-agent workflow alongside your Knowledge Assistant
- - Orchestrate agents with a multi-agent supervisor that routes queries intelligently by data type
- Improve response quality through natural language feedback
Who should attend
If you’re a data engineer, ML practitioner or technical architect who wants hands-on experience building multi-agent AI systems on the Databricks Data Intelligence Platform, this session is for you. No prior agent development experience required, and all lab environments are pre-configured.
Databricks SQL in Action: Intelligent Data Warehousing, Analytics and BI Workshop
Wednesday 10 June 2026 | 9 AM BST, 10 AM CEST
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 July 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
Axel Richier
Solutions Engineer
Databricks
Carlota Lopes Dias
Senior Solutions Engineer
Databricks
Carlos Rodrigues
Sr. Specialist Solutions Architect
Databricks
Sanjay Ashok
Solutions Architect
Databricks