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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: Introduction to Cloud Infrastructure
This course provides basic knowledge about cloud concepts, the main Azure services , and Azure governance and management features and tools.
Level: Beginner - Product: Azure - Role: Administrator
Azure Fundamentals - Introduction to the Cloud - Cloud Infrastructure - Cloud Services - Azure Training - Microsoft Azure Certification - Cloud Computing - Cloud Basics
Course aimed at
This course is suitable for IT staff who are new to working 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 the 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.
Objectives of the AZ-900 training
- Describe the 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 formation
- Introduction to cloud infrastructure: Description of cloud concepts (3 modules)
- Introduction to cloud infrastructure: Description of Azure architecture and services (4 modules)
- Introduction to cloud infrastructure: Description of Azure administration and governance (4 modules)
Course Content AZ-900 Introduction to Cloud Infrastructure
Module 1. Microsoft Azure AI Basics: Introduction to AI
- AI Basics
- Basic aspects of machine learning
- Azure AI Services Basics
- Lab: Explore Azure AI services
Learning objectives
- Explain what AI is and understand the importance of responsible AI.
- Understanding the different types of Machine Learning models.
- Identify the AI services available on Azure and what they are used for.
Module 2. Basics of Microsoft Azure AI: Computer Vision
- Computer Vision Concepts
- Computer Vision functionalities 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
- Understanding the functionalities of Azure AI Vision.
- Identify the different services included in Azure AI Vision.
- Describe the face detection service.
Module 3. Microsoft Azure AI Basics: Natural Language Processing
- Natural Language Processing (NLP) Concepts
- Natural language processing capabilities in Azure
- Lab: Using the Question Response Model with Language Studio
- Lab: Using conversational language recognition with Language Studio
- Lab: Voice Exploration in the Azure AI Foundry Portal
- Lab: Exploring the Azure AI Translator
- Lab: Text analysis in the Azure AI Foundry Portal
Learning objectives
- Recognizing when natural language processing and conversational AI can be used.
- Identify the Azure AI services that include natural language processing.
- Use text analysis for your own purposes.
Module 4. Microsoft Azure AI Basics: 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 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
- Basic aspects of generative AI
- Introduction to Azure AI Foundry
- Exploring responsible generative AI
- Lab: Exploring the Azure AI Foundry Portal
- Lab: Exploring generative artificial intelligence 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.
- Understanding how to use generative AI in Microsoft Copilot solutions.
- Describe the functionalities of Azure AI Foundry and the responsible use of generative AI.
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, basic Azure services, and Azure management and governance features and tools.
Level: Beginner
Role: Administrator
Product: Azure
Subject: Infrastructure
