Azure AI Fundamentals - AI-900

About This Course

This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.

Audience Profile

The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.

At Course Completion

After completing this course, students will be able to:

  • Describe Artificial Intelligence workloads and considerations
  • Describe fundamental principles of machine learning on Azure
  • Describe features of computer vision workloads on Azure
  • Describe features of Natural Language Processing (NLP) workloads on Azure
Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services. 
 
Specifically: 
  • Experience using computers and the internet.
  • Interest in use cases for AI applications and machine learning models. 
  • A willingness to learn through hands-on exploration.

Module 1: Cloud Concepts

In this module, you’ll take an entry level end-to-end look at cloud concepts, which will provide you with a solid foundation for completing the available modules for Azure Fundamentals.

Lesson

  • Cloud Computing
  • Cloud benefits
  • Cloud service types

After completing this module, students will be able to:

  • Describe cloud computing.
  • Describe the benefits of using cloud services.
  • Describe cloud service types.

Module 2: Azure Architecture and Services

This module explores Microsoft Azure, its architecture, and some of the most commonly used services and resources.

Lesson

  • Core Azure architectural components
  • Azure compute and networking services
  • Azure storage services
  • Azure identity, access, and security

Lab : Explore the Microsoft Learn sandbox

Lab : Create an Azure resource

Lab : Create an Azure virtual machine

Lab : Configure network access

Lab : Create a storage blob

After completing this module, students will be able to:

  • Describe the core architectural components of Azure.
  • Describe Azure compute and networking services.
  • Describe Azure storage services.
  • Describe Azure identity, access, and security.

Module 3: Core Solutions

In this module, you’ll learn about the management and governance resources available to help you manage your cloud and on-premises resources.

Lesson

  • Cost management in Azure
  • Features and tools in Azure for governance and compliance
  • Feature and tools for managing and deploying Azure resources
  • Monitoring tools in Azure

Lab : Estimate workload costs using the Pricing calculator

Lab : Compare workload costs using the Total Cost of Ownership calculator

Lab : Configure a resource lock

After completing this module, students will be able to:

  • Describe cost management in Azure.
  • Describe features and tools in Azure for governance and compliance.
  • Describe features and tools for managing and deploying Azure resources.
  • Describe monitoring tools in Azure.

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