Upcoming events
Modern Machine Learning on Databricks
Welcome to “MLOps in Databricks” – a hands-on training workshop designed to demonstrate the benefits of using Databricks for end-to-end machine learning operations.
In this workshop, you’ll learn how Databricks provides a unified platform for data engineering, data science, and machine learning, enabling you to build and deploy scalable machine learning models with ease.
As a data scientist or machine learning engineer, Databricks allows you to leverage the full power of both SQL and Python, bring your own IDE to the table, and leverage broad tooling as first-class citizens, ensuring that you can work exactly the way you want to.
Furthermore, the collaborative nature of machine learning in Databricks means that you can work together with your colleagues in real-time, making it easy for everyone to be on the same page building the best possible solution.
In the workshop we will show you how to:
- Build and train machine learning models on Databricks
- Deploy models to production with MLflow
- Build and run automated machine learning pipelines with Databricks
- Use Delta Lake for efficient data storage and processing in MLOps
- Monitor model performance and retrain models with Databricks
- Leverage Databricks for feature engineering and experimentation
- Explore the integration of Databricks with other machine learning tools and frameworks
Don't miss this opportunity!
Explore the benefits of modern data engineering on Databricks.
Take your data engineering skills to the next level!
