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
Panagiotis Langaris
Senior Consultant, D ONE
Senior Consultant at D ONE with a strong academic and business background in the Data & AI landscape. With deep expertise in the Databricks ecosystem, he focuses on delivering production-grade Machine Learning, Data Engineering, and Optimization solutions. His professional experience spans diverse sectors, including global technology providers, telecommunications, and the travel retail and F&B industries, where he specializes in turning complex data into scalable, operational systems.
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 and predictive models that turn enterprise data into measurable outcomes.