Implementing a Machine Learning Solution with Azure Databricks (DP-3014)

 

Course Overview

Azure Databricks is a cloud-scale platform for data analytics and machine learning. Data scientists and machine learning engineers can use Azure Databricks to implement machine learning solutions at scale.

Course Content

  • Explore Azure Databricks
  • Use Apache Spark in Azure Databricks
  • Train a machine learning model in Azure Databricks
  • Use MLflow in Azure Databricks
  • Tune hyperparameters in Azure Databricks
  • Use AutoML in Azure Databricks
  • Train deep learning models in Azure Databricks
  • Manage machine learning in production with Azure Databricks

Prerequisites

This learning path assumes that you have experience of using Python to explore data and train machine learning models with common open source frameworks, like Scikit-Learn, PyTorch, and TensorFlow. Consider completing the Create machine learning models learning path before starting this one.

Prices & Delivery methods

Online Training

Duration
1 day

Price
  • Online Training: CAD 675
  • Online Training: US $ 675
Classroom Training

Duration
1 day

Price
  • Canada: CAD 675

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This is an Instructor-Led Classroom course
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom.

United States

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Canada

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Online Training 09:00 Central Daylight Time (CDT) Enroll
Online Training 09:00 Eastern Daylight Time (EDT) Enroll
Online Training 09:00 Central Daylight Time (CDT) Enroll
Online Training 09:00 Pacific Standard Time (PST) Enroll