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 teach students how 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 that combines instructor-led courses with online materials on the Microsoft Learn platform (https://azure.com/learn). The course's practical exercises are based on Learn modules, and students are encouraged to use Learn content as reference materials to reinforce what they learn in class and explore topics in greater depth.

The course includes a certification exam and a gift opportunity! *Promotion valid until August 31st for customers in Spain only.

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 services in Microsoft Azure you can use to create them. You don't need any experience using Microsoft Azure before taking this course, but a basic level of familiarity with computing 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 understanding fundamental 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 Essentials: Natural Language Processing (5 Units)
• Microsoft Azure AI Essentials: Knowledge Mining and Document Intelligence (2 Units)
• Microsoft Azure AI Essentials: Generative Artificial Intelligence (10 Units)
• Image analysis with the Computer Vision service (4 Units)

AI-900 Course Content

Module 1. Introduction to AI

Lessons:

• AI Basics
• Machine Learning Basics
• Azure AI Services Basics

After completing this module, students will be able to:

• 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. Computer Vision

Lessons:

• Computer Vision Concepts
• Computer Vision Capabilities in Azure

After completing this module, students will be able to:

• Understand Azure AI Vision capabilities.
• 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:

• 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. Knowledge Mining and Document Intelligence

Lessons

• Azure AI Document Intelligence
• Azure AI Search

After completing this module, students will be able to:

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

Module 5. Generative AI

Lessons

• Fundamentals 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 science and internet concepts, and a demonstrated interest in using Azure AI services.

Specifically:

• Experience in using computers 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 software development and Microsoft Azure services to create AI solutions.

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