Description:

The MLOps on Databricks Byte Degree course is designed to provide a comprehensive understanding of implementing MLOps practices on the Databricks platform. Participants will learn how to streamline the machine learning lifecycle, from data preparation to model deployment, using Databricks tools and best practices. The course covers topics such as model versioning, automated testing, model monitoring, and more.

Key Highlights:

• Implement MLOps practices on Databricks
• Streamline the machine learning lifecycle
• Learn model versioning, testing, and monitoring on Databricks

What you will learn:

• Understand MLOps Principles
  Gain a solid understanding of MLOps principles and practices in the context of Databricks.
• Implement Automated Testing
  Learn how to automate testing processes to ensure the reliability and performance of machine learning models.
• Deploy Models with Databricks
  Explore how to deploy machine learning models seamlessly using Databricks infrastructure.