AZ-900: Microsoft Azure Fundamentals

AZ-900 Course: Microsoft Azure Fundamentals

This course provides a foundational understanding of cloud concepts, key Azure services , and Azure governance and management features and tools.

Course aimed at

This course is suitable for IT staff just starting out with Azure. This audience wants to learn about our offerings and gain hands-on experience with the product. This course primarily uses the Azure portal and the command-line interface to create resources. No scripting knowledge is required. Students in this course will gain confidence to take other role-based courses and certifications, such as Azure Administrator. This course combines lectures, demonstrations, and hands-on labs. This course will also help prepare someone for the AZ-900 exam.

AZ-900 Training Objectives

• Describe workloads and artificial intelligence considerations
  
• Describe the fundamental principles of machine learning in Azure
  
• Describe the characteristics of computer vision workloads in Azure
  
• Describe the characteristics of natural language processing (NLP) workloads in Azure
  
• Describe the characteristics of generative AI workloads in Azure
  

Elements of the AZ-900 collection

• Cloud Computing Overview (8 Units)
• Description of the advantages of using cloud services (7 Units)
• Description of cloud service types (6 Units)
• Describe the main architectural components of Azure (9 Units)
• Understanding Azure Compute and Networking Services (14 Units)
• Azure Storage Services Description (9 Units)
• Understanding Azure Identity, Access, and Security (11 Units)
• Understanding Cost Management in Azure (9 Units)
• Overview of Azure features and tools for governance and compliance (8 units)
• Overview of features and tools for managing and deploying Azure resources (6 Units)
• Azure Monitoring Tools Overview (6 Units)

AZ-900 Course Content

Module 1. Microsoft Azure AI Fundamentals: Introduction to AI

• AI Basics
  
• Machine Learning Basics
  
• Azure AI Services Basics
  
• Lab: Explore Azure AI Services

Learning objectives

• Explain what AI is and understand the importance of responsible AI.
  
• Understand the different types of Machine Learning models.
  
• Identify the AI ​​services available in Azure and what they are used for.

Module 2. Basics of Microsoft Azure AI: Computer Vision

• Computer Vision Concepts
  
• Computer Vision Capabilities in Azure
  
• Lab: Image Analysis in the Azure AI Foundry Portal
• Lab: Face Detection in Vision Study
• Lab: Text Reading in Vision Study

Learning objectives

• Understand Azure AI Vision capabilities.
  
• Identify the different services included in Azure AI Vision.
  
• Describe the face detection service.
  

Module 3. Microsoft Azure AI Fundamentals: Natural Language Processing

• Natural Language Processing (NLP) Concepts
  
• Natural Language Processing Capabilities in Azure
  
• Lab: Using the Question Answering Model with Language Studio
• Lab: Using Conversational Language Recognition with Language Studio
• Lab: Voice Exploration in the Azure AI Foundry Portal
• Lab: Exploring Azure AI Translator
• Lab: Text Analytics in the Azure AI Foundry Portal

Learning objectives

• Recognize when natural language processing and conversational AI can be used.
  
• Identify Azure AI services that include natural language processing.
  
• Using text analysis for your own purposes.
  

Module 4. Microsoft Azure AI Fundamentals: Knowledge Mining and Document Intelligence

• Azure AI Document Intelligence
  
• Azure AI Search
  
• Lab: Extracting Data from Documents in Azure AI Foundry
• Lab: Exploring an Azure AI Search Index (UI)

Learning objectives

• Understand what the Azure AI Intelligence Document does and why organizations use it.
  
• Describe knowledge mining and the problems it solves.
  

Module 5. Azure AI Basics: Generative AI

• Fundamentals of Generative AI
  
• Introduction to Azure AI Foundry
  
• Exploring Responsible Generative AI
  
• Lab: Exploring the Azure AI Foundry Portal
• Lab: Exploring Generative AI with the Azure AI Foundry Portal
• Lab: Exploring Azure AI Content Security

Learning objectives

• Describe generative AI, what language models are, and how they are used.
  
• Understand how to use generative AI in Microsoft Copilot solutions.
  
• Describe Azure AI Foundry capabilities and how to use generative AI responsibly.
  

Prerequisites

There are no prerequisites for taking this course. A good understanding of cloud computing is helpful, but not required.

Language

• Course: English / Spanish
• Labs: English / Spanish

Microsoft Associate Certification: Azure Fundamentals

Microsoft Certified: Azure Fundamentals

Demonstrate a basic understanding of cloud concepts, core Azure services, and Azure management and governance features and tools.

Level: Beginner
Role: Administrator
Product: Azure
Subject: Infrastructure