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Machine Learning in Production 

  • Offered byDatabricks

Machine Learning in Production
 at 
Databricks 
Overview

To equip learners with the knowledge and skills necessary to deploy and manage machine learning models in real-world production environments, ensuring their effectiveness, reliability, and scalability

Duration

8 hours

Start from

Start Now

Total fee

84,829

Mode of learning

Online

Official Website

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Credential

Certificate

Machine Learning in Production
 at 
Databricks 
Highlights

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

More about this course

In this course, you will learn the best practices for managing machine learning experiments and models with MLflow

There are two main components in this course: (i) using MLflow to track the machine learning lifecycle, package models for deployment, and manage model versions (ii) examining various production issues, different deployment paradigms, and post-production concerns

By the end of this course, you will have built an end-to-end pipeline to log, deploy, and monitor machine learning models

Class Schedule

09 AM - 05 PM

Machine Learning in Production
 at 
Databricks 
Curriculum

Day 1

ML in production overview    

Data management with Delta and Databricks Feature Store    

Experiment tracking and versioning with MLflow Tracking    

Model management with MLflow Models and Model Registry    

Automated testing with webhooks    

Deployment paradigms     

Monitoring and CI/CD

Machine Learning in Production
 at 
Databricks 
Admission Process

    Important Dates

    Dec 18, 2024
    Course Commencement Date

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    Machine Learning in Production
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