Machine Learning Operations
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.
Languages Available: English | 日本語 | Português BR | 한국어
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
Outline
Defining MLOps
MLOps on Databricks
Working with Asset Bundles
Architecting MLOps Solutions
Introduction
Opinionated MLOps Principles
Recommended MLOps Architectures
Model Testing Job with the Databricks CLI
Implementation and Monitoring MLOps Solution
Introduction
Implementation of MLOps Stacks
Type of Model Monitoring
Monitoring in Machine Learning
Lakehouse Monitoring Dashboard
Upcoming Public Classes
Date | Time | Language | Price |
---|---|---|---|
Jan 27 | 01 PM - 05 PM (Europe/London) | English | $750.00 |
Jan 28 | 08 AM - 12 PM (America/New_York) | English | $750.00 |
Jan 30 | 01 PM - 05 PM (Asia/Kolkata) | English | $750.00 |
Mar 27 | 09 AM - 01 PM (Asia/Kolkata) | English | $750.00 |
Mar 27 | 01 PM - 05 PM (America/New_York) | English | $750.00 |
Mar 28 | 09 AM - 01 PM (Europe/London) | English | $750.00 |
Public Class Registration
If your company has purchased success credits or has a learning subscription, please fill out the Training Request form. Otherwise, you can register below.
Private Class Request
If your company is interested in private training, please submit a request.
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