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Contact us by email: info@nanforiberica.com , phone: +34 91 031 66 78 / +34 605 98 51 30, WhatsApp: +34 685 60 05 91 , or contact our offices
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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
