Type
Virtual
Classroom ILT
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Available dates
Learning Path
Virtual
Duration
1 Day

TYPE
Virtual
Classroom ILT
LEARNING PATH
SKILL LEVEL

DURATION
AVAILABLE DATES
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From: R3 400,00
Price excluding VAT
Introduction:
Azure Databricks is a cloud-scale platform for data analytics and machine learning. In this one-day course, you’ll learn how to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.
Audience profile:
This course is designed for data scientists with experience of Pythion who need to learn how to apply their data science and machine learning skills on Azure Databricks
Job role: Data Scientist
Pre-requisites:
Before attending this course, you should have experience of using Python to work with data, and some knowledge of machine learning concepts. Before attending this course, complete the following learning path on Microsoft Learn:
- Create machine learning models
Course Objectives:
After completing this course, students will be able to:
- Provision an Azure Databricks workspace and cluster
- Use Azure Databricks to train a machine learning model
- Use MLflow to track experiments and manage machine learning models
- Integrate Azure Databricks with Azure Machine Learning
Module 1: Introduction to Azure Databricks |
In this module, you will learn how to provision an Azure Databricks workspace and cluster, and use them to work with data.
Lessons: |
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Lab: Getting Started with Azure Databricks
Lab: Working with Data in Azure Databricks |
After completing this module, students will be able to: |
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Module 2: Training and Evaluating Machine Learning Models |
In this module, you will learn how to use Azure Databricks to prepare data for modeling, and train and validate a machine learning model.
Lessons: |
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Lab: Training a Machine Learning Model
Lab: Preparing Data for Machine Learning |
After completing this module, students will be able to |
|
Module 3: Managing Experiments and Models |
In this module, you will learn how to use MLflow to track experiments running in Azure Databricks, and how to manage machine learning models.
Lessons: |
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Lab: Using MLflow to Track Experiments
Lab: Managing Models |
After completing this module, you will be able to: |
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Module 4: Integrating Azure Databricks and Azure Machine Learning |
In this module, you will learn how to integrate Azure Databricks with Azure Machine Learning
Lessons: |
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Lab: Deploying Models in Azure Machine Learning
Lab: Running Experiments in Azure Machine Learning |
After completing this module, students will be able to: |
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Associated certifications and exam:
On successful completion of this course students will receive a Torque IT attendance certificate.

Microsoft Overview
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Torque IT considers authorised Microsoft training to be an integral part of any Microsoft implementation. Microsoft authorised training, and associated certification, ensures that you get the most from your technology investment and that you are able to operate above the technology curve. Microsoft career certifications are universally recognised as demonstrating a high level of expertise and credibility for individuals and the organisations that employ them.
Authorized Microsoft training and certification is the industry standard for any solution that includes designing, selling, implementing, upgrading, managing, and operating Microsoft solutions.
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These achievements reflect our commitment to providing our customers with quality skills development, enablement, training, and certification solutions that demonstrate exceptional depth, breadth, and expertise across Windows Server, Windows Client, Microsoft Virtualization, Microsoft Azure, Office 365, Exchange Server, SharePoint Server, Skype for Business, System Centre Server, Visual Studio and Microsoft Office technologies.
Torque is recognized by Microsoft, and the industry, as having met rigorous standards for educational competency, service, customer satisfaction and investment in Microsoft technologies that will prepare the next generation of IT industry professionals.