Course Name

Designing and Implementing a Data Science Solution on Azure

  • Code: DP-100
  • Duration: 3 Day(s)
  • Date: 25 Sep, 2024
  • Price: R7, 050.00 (excl. VAT)
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Course Introduction

Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.

Course Delivery Method

Our courses have flexible delivery options:

  • In-person classroom training at the Impactful training
    facilities

  • Virtual instructor-led training
  • Nationally: on-site at the client

Course Intended Audience

This course is intended for:
Data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.

Course Prerequisites

Successful Azure Data Scientists start this role with a fundamental knowledge of cloud computing concepts, and experience in general data science and machine learning tools and techniques.

Specifically:

  • Creating cloud resources in Microsoft Azure.
  • Using Python to explore and visualize data.
  • Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.

Course Objectives

  • Module 1: Doing Data Science on Azure
    • Introduce the Data Science Process
    • Overview of Azure Data Science Options
    • Introduce Azure Notebooks
  • Module 2: Doing Data Science with Azure Machine Learning service
    • Introduce Azure Machine Learning (AML) service
    • Register and deploy ML models with AML service
  • Module 3: Automate Machine Learning with Azure Machine Learning service
    • Automate Machine Learning Model Selection
    • Automate Hyperparameter Tuning with HyperDrive
  • Module 4: Manage and Monitor Machine Learning Models with the Azure Machine Learning service
    • Manage and Monitor Machine Learning Models
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Get in touch

Contact the Impactful team if you need any assistance.
Email: impactful@lrmg.co.za
Tel: +27 87 941 5764

Course Introduction

Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.

Course Delivery Method

Our courses have flexible delivery options:

  • In-person classroom training at the Impactful training
    facilities

  • Virtual instructor-led training
  • Nationally: on-site at the client

Course Intended Audience

This course is intended for:
Data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud.

Course Prerequisites

Successful Azure Data Scientists start this role with a fundamental knowledge of cloud computing concepts, and experience in general data science and machine learning tools and techniques.

Specifically:

  • Creating cloud resources in Microsoft Azure.
  • Using Python to explore and visualize data.
  • Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.

Course Objectives

  • Module 1: Doing Data Science on Azure
    • Introduce the Data Science Process
    • Overview of Azure Data Science Options
    • Introduce Azure Notebooks
  • Module 2: Doing Data Science with Azure Machine Learning service
    • Introduce Azure Machine Learning (AML) service
    • Register and deploy ML models with AML service
  • Module 3: Automate Machine Learning with Azure Machine Learning service
    • Automate Machine Learning Model Selection
    • Automate Hyperparameter Tuning with HyperDrive
  • Module 4: Manage and Monitor Machine Learning Models with the Azure Machine Learning service
    • Manage and Monitor Machine Learning Models

Course Content

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Tel: +27 87 941 5764

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