Fresh from Data + AI Summit San Francisco plus hands-on
"Mastering the ML Lifecycle on Databricks"

June 24th
Innovathens
Athens Technopolis

Get the inside track on everything announced at this year's Data + AI Summit in San Francisco, then roll up your sleeves for a practical workshop on building end-to-end ML pipelines on Databricks. 

What's New from Data + AI Summit

We're back from San Francisco with the latest on Databricks' product direction, new platform capabilities, and what's coming next for ML and AI practitioners. 

Agenda 

6:30 pm — Opening and welcome

6:45 pm — Updates and key insights from Data + AI Summit, San Francisco

7:00 pm — Hands-on workshop: Mastering the ML Lifecycle on Databricks

After the workshop — Get-together with pizza and drinks

Ready to Build End-to-End ML Pipelines on Databricks?

Join this hands-on workshop from D ONE's experts to master the full ML lifecycle:  from data exploration to deploying fully-functional models. Alternate short theory bursts with practical exercises in our provided Databricks environment, internalizing concepts through real application. Perfect for practitioners eager to turn ideas into production reality!

You'll walk away with:

  • A clear mental model of the ML lifecycle and its components

  • Hands-on experience with the Databricks features that support each stage

  • Best practices and proven patterns you can apply every day

Who Should Attend?

This workshop is ideal for:

  • Data Engineers

  • Data Scientists

  • ML Engineers & AI Practitioners

  • Analytics Engineers

  • Technical Leads & Solution Architects working on AI/ML initiatives

Whether you're building your first ML workflows or scaling production-grade solutions, you'll leave with practical patterns and hands-on experience you can directly apply in your day-to-day work.

Your Workshop Hosts

Michalis Kalligas
Consultant, D ONE

Data & AI Engineer specializing in automated data orchestration and scalable Lakehouse architectures on Azure Databricks. Michalis connects technical requirements engineering with business-driven value, delivering managed data pipelines, predictive models, and Generative AI integrations that turn enterprise data into measurable outcomes.

Panagiotis Langaris
Senior Consultant, D ONE

Senior Consultant and Databricks Data & AI Engineer focused on production-grade ML systems and data engineering on Databricks. Panagiotis bridges advanced AI research with MLOps excellence, delivering scalable recommendation engines, predictive models, and cloud platform modernizations for enterprise clients in retail, telecommunications, and energy.