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.

Level: Beginner - Product: Azure - Role: Administrator

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
  

AZ-900 Course Content: Microsoft Azure Fundamentals

• 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