Machine Learning Operations
Contact us to book this course
Machine Learning and AI
On-Site, Virtual
1 day
This course will guide participants through a comprehensive exploration of machine learning model operations, focusing on MLOps and model lifecycle management. The initial segment covers essential MLOps components and best practices, providing participants with a strong foundation for effectively operationalizing machine learning models. In the latter part of the course, we will delve into the basics of the model lifecycle, demonstrating how to navigate it seamlessly using the Model Registry in conjunction with the Unity Catalog for efficient model management. By the course's conclusion, participants will have gained practical insights and a well-rounded understanding of MLOps principles, equipped with the skills needed to navigate the intricate landscape of machine learning model operations.
Objectives
After consuming this content, you should be able to:
- Explain modern machine learning operations within the frameworks of DataOps, DevOps, and ModelOps.
- Relate MLOps activities to the features and tools available in Databricks, and explore their practical applications in the machine learning lifecycle.
- Design and implement basic machine learning operations, including setting up and executing a machine learning project on Databricks, following best practices and recommended tools.
- Detail Implementation and Monitoring capabilities of MLOps solutions on Databricks.
Prerequisites
At a minimum, you should be familiar with the following before attempting to take this content:
- Knowledge of fundamental concepts of machine learning
- Knowledge of MLflow tracking
- Familiarity with Databricks workspace and notebooks
- Intermediate level knowledge of Python
Course outline
- Modern MLOps
- Defining MLOps
- MLOps on Databricks
- Working with Asset Bundles
- Introduction
- Opinionated MLOps Principles
- Recommended MLOps Architectures
- Model Testing Job with the Databricks CLI
- Introduction
- Implementation of MLOps Stacks
- Type of Model Monitoring
- Monitoring in Machine Learning
- Lakehouse Monitoring Dashboard
