DP-100T01 Designing and Implementing a Data Science Solution on Azure

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 with Azure Machine Learning and MLflow.
Course Details

Price:

$2,495.00

Days:

4

Location:

Virtual

Course Overview

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 with Azure Machine Learning and MLflow.

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.

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. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience.

1 – Introduce Ansible

  • Describe the fundamental concepts of Red Hat Ansible Automation Platform and how it is used, and install Red Hat Ansible Automation Platform.

2 – Implement an Ansible playbook

  • Create an inventory of managed hosts, write a simple Ansible playbook, and run the playbook to automate tasks on those hosts.

3 – Manage variables and facts

  • Write playbooks that use variables to simplify management of the playbook and facts to reference information about managed hosts.

4 – Implement task control

  • Manage task control, handlers, and task errors in Ansible Playbooks.

5 – Deploy files to managed hosts

  • Deploy, manage, and adjust files on hosts managed by Ansible.

6 – Manage complex plays and playbooks

  • Write playbooks that are optimized for larger, more complex plays and playbooks.

7 – Simplify playbooks with roles

  • Use Ansible roles to develop playbooks more quickly and to reuse Ansible code.

8 – Troubleshoot Ansible

  • Troubleshoot playbooks and managed hosts.

    9 – Automate Linux administration tasks

    • Automate common Linux system administration tasks with Ansible.
Class Dates & Times
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02/16/2026 - 02/19/2026
Virtual
09:00:00 to 17:00:00 EST
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$2,495.00
07/20/2026 - 07/23/2026
Virtual
09:00:00 to 17:00:00 EST
Enroll Now
$2,495.00
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