Accelerating ML Workflows with Databricks
Join us for an exclusive session with Databricks Certified Professional Tyler Faulkner as he shares how to streamline and scale your machine learning workflows using the latest Databricks tools and best practices.
Whether you’re a data scientist, ML engineer, or AI enthusiast, this session will equip you with the knowledge and tools to build faster, smarter, and more reliable ML models.
What You’ll Learn
Experiment Tracking with MLflow – Log, compare, and manage experiments at scale.
Effortless Model Serving – Deploy models via REST or SQL endpoints with minimal setup.
Drift Detection with Lakehouse Monitoring – Stay ahead of performance issues with real-time monitoring.
Unified Feature Store – Serve consistent and reusable features across models.
Event Agenda
5:30 PM – 6:30 PM: Presentation by Tyler Faulkner
6:30 PM – 7:30 PM: Q&A + Networking
Register Now: https://wisdbug.com/event/798/
Attend virtually or in-person
Date: Tuesday, May 20
Time: 5:30 PM – 7:30 PM
