MS AI-900 Microsoft Azure AI Fundamentals

Course Duration: 1 Days

About This Course

This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build 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 training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.

Audience Profile

The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking 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 charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.

Learning Objectives:

Microsoft Azure AI Fundamentals: AI Overview

• Fundamental AI Concepts: Curious about artificial intelligence? Want to understand what all the buzz is about? This module introduces you to the world of AI.
• Fundamentals of machine learning: Machine learning is the basis for most modern artificial intelligence solutions. A familiarity with the core concepts on which machine learning is based is an important foundation for understanding AI.
• Fundamentals of Azure AI services: In this module, you learn the fundamentals of how Azure AI services can be used to build

Microsoft Azure AI Fundamentals: Computer Vision

• Fundamentals of Computer Vision: Azure AI Vision service enables software engineers to create intelligent solutions that extract information from images; a common task in many artificial intelligence (AI) scenarios.
• Fundamentals of Facial Recognition: Face detection and analysis are important capabilities for artificial intelligence (AI) solutions. Azure AI Face service makes it easy integrate these capabilities into your applications.
• Fundamentals of optical character recognition: Optical character recognition (OCR) enables artificial intelligence (AI) systems to read text in images, enabling applications to extract information from photographs, scanned documents, and other sources of digitized text.

Microsoft Azure AI Fundamentals: Natural Language Processing

• Fundamentals of Text Analysis with the Language Service: Explore Azure AI Language's natural language processing (NLP) features, which include sentiment analysis, key phrase extraction, named entity recognition, and language detection.
• Fundamentals of question answering with the Language Service: Create a custom question answering knowledge base with Azure AI Language.
• Fundamentals of conversational language understanding: In this module, we introduce you to conversational language understanding, and show how to create applications that understand language with Azure AI Language.
• Fundamentals of Azure AI Speech: Learn how to recognize and synthesize speech by using Azure AI Speech.
• Fundamentals of language translation: Automated translation capabilities in an AI solution enable closer collaboration by removing language

Microsoft Azure AI Fundamentals: Document Intelligence and Knowledge Mining

• Fundamentals of Azure AI Document Intelligence: Document processing is a common task in many business scenarios. Organizations can use Azure AI Document Intelligence to automate data extraction across document types, such as receipts, invoices, and more.
• Fundamentals of Knowledge Mining and Azure AI Search: Use Azure AI Search to make your data searchable.

Microsoft Azure AI Fundamentals: Generative AI

• Fundamentals of Generative AI: In this module, you explore the way in which language models enable AI applications and services to generate original content based on natural language input. You also learn how generative AI enables the creation of agents that can assist humans in creative tasks.
• Plan and prepare to develop AI solutions on Azure: Microsoft Azure offers multiple services that enable developers to build amazing AI-powered solutions. Proper planning and preparation involves identifying the services you'll use and creating an optimal working environment for your development team.
• Responsible generative AI: Generative AI enables amazing creative solutions, but must be implemented responsibly to minimize the risk of harmful content generation.
• Fundamentals of AI agents on Azure: AI agents represent the next generation of intelligent applications. Learn how they can be developed and used on Microsoft Azure.