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Machine Learning Model Deployment 

  • Offered byDatabricks

Machine Learning Model Deployment
 at 
Databricks 
Overview

To improve the user experience by providing personalized, timely, and relevant information or services based on the model’s outputs

Duration

4 hours

Total fee

63,659

Mode of learning

Online

Official Website

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Credential

Certificate

Machine Learning Model Deployment
 at 
Databricks 
Highlights

  • Earn a certificate after completion of course from Databricks
  • Learn from industry experts
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Machine Learning Model Deployment
 at 
Databricks 
Course details

More about this course

This comprehensive course provides a practical guide to developing traditional machine learning models on Databricks, emphasizing hands-on demonstrations and workflows using popular ML libraries

This course focuses on executing common tasks efficiently with AutoML and MLflow

Participants will delve into key topics, including regression and classification models, harnessing Databricks' capabilities to track model training, leveraging feature stores for model development, and implementing hyperparameter tuning

Machine Learning Model Deployment
 at 
Databricks 
Curriculum

Model Deployment Strategies

Model Deployment with MLflow

Introduction to Batch Deployment

Introduction to Pipeline Deployment

Introduction to Real-time Deployment

Databricks Model Serving

 

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