AI-900T00 Introduction to AI in Azure

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. 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.

• Foundational AI Concepts: Understand artificial intelligence, machine learning, and generative AI basics.

• Azure AI Services: Explore Azure AI Vision, AI Language, and AI Bot Service for different AI workloads.

• Computer Vision: Learn image analysis, object detection, and facial recognition capabilities.

• Natural Language Processing (NLP): Understand NLP concepts, intents, utterances, and conversational AI.

• Conversational AI: Build and publish chatbots using Azure AI services.

• Responsible AI: Apply fairness, privacy, security, reliability, and accountability principles.

• AI Workloads & Considerations: Recognize workload types and key factors for AI solution development.

The Introduction to AI in Azure 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.

Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services. Specifically:

• Experience using computers and the internet.
• Interest in use cases for AI applications and machine learning models.
• A willingness to learn through hands-on experience