AI-900: Microsoft Azure AI Fundamentals

AI-900 Course: Microsoft Azure AI Fundamentals

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

Level: Beginner - Product: Azure - Role: AI Engineer

Azure AI Fundamentals - Artificial Intelligence in Azure - AI Fundamentals - Microsoft Azure - Basic Machine Learning - Cognitive Services - Official Microsoft Course

Course aimed at

The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solutions that artificial intelligence (AI) makes possible and the Microsoft Azure services you can use to build them. You don't need any prior experience using Microsoft Azure to take 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 graphs. The course includes hands-on activities that involve working with data and running code, so a basic understanding of programming principles will be helpful.

Elements of the AI-900 collection

• Microsoft Azure AI Fundamentals: Introduction to AI (3 units)
• Microsoft Azure AI Basics: Computer Vision (3 Units)
• Microsoft Azure AI Basics: Natural Language Processing (5 Units)
• Microsoft Azure AI Basics: Knowledge Mining and Document Intelligence (2 Units)
• Microsoft Azure AI Basics: Generative Artificial Intelligence (10 Units)
• Image analysis with the Computer Vision service (4 Units)

AI-900 Course Content: Microsoft Azure Artificial Intelligence Fundamentals

Module 1. Introduction to AI

Lessons:

• AI Basics
• Basic aspects of machine learning
• Azure AI Services Basics

After completing this module, students will be able to:

• 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. Computer Vision

Lessons:

• Computer Vision Concepts
• Computer Vision functionalities in Azure

After completing this module, students will be able to:

• Understanding the functionalities of Azure AI Vision.
• Identify the different services included in Azure AI Vision.
• Describe the face detection service.

Module 3. Natural Language Processing

Lessons

• Natural Language Processing (NLP) Concepts
• Natural language processing capabilities in Azure

After completing this module, students will be able to:

• 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. Knowledge Mining and Document Intelligence

Lessons

• Azure AI Document Intelligence
• Azure AI Search

After completing this module, students will be able to:

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

Module 5. Generative AI

Lessons

• Basic aspects of generative AI
• Introduction to Azure AI Foundry
• Exploring responsible generative AI

Prerequisites

No prerequisite certification is required to take this course. Students in the Azure AI Fundamentals course begin with a basic understanding of computer and internet concepts and an interest in using Azure AI services.

Specifically:

• Experience in using equipment and the Internet.
• Interest in use cases for artificial intelligence applications and machine learning models.
• Desire to learn through practical exploration.

Language

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

Microsoft Associate Certification: Azure AI Fundamentals

Microsoft Certified: Azure AI Fundamentals

Demonstrate fundamental AI concepts related to the development of Microsoft Azure software and services to create AI solutions.

Level: Beginner
Role: AI Engineer
Product: Azure
Subject: Artificial intelligence