I. Overview:

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.

II. Duration: 01 days (08 hours)

III. Intended Audience:

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.

IV. Prerequisites:

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.

V. Course outlines:

1. Introduction to AI concepts

Curious about artificial intelligence? Want to understand what all the buzz is about? This module introduces you to the world of AI.

2. Introduction to machine learning concepts

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.

3. Get started with machine learning in Azure

Learn how to design a model training solution for machine learning projects.

4. Introduction to generative AI and agents

Generative AI powers applications that can create content, answer questions, and assist with tasks. In this module, you'll explore the fundamentals of generative AI, including large language models (LLMs), prompts, and AI agents.

5. Get started with generative AI in Azure

Learn how you can build generative AI applications in Microsoft Foundry portal. Understand how to use Microsoft Foundry portal's extensive model marketplace, playgrounds, and evolving features.

6. Introduction to natural language processing concepts

Natural language processing (NLP) supports applications that can see, hear, speak with, and understand users. In this module you learn about the concepts that make NLP possible.

7. Get started with natural language processing in Azure

Explore Azure Language's natural language processing (NLP) features, which include sentiment analysis, key phrase extraction, named entity recognition, and language detection.

8. Introduction to AI speech concepts

Imagine AI apps and agents that you can talk to. Explore the concepts behind AI speech, including speech recognition and synthesis.

9. Get started with speech in Azure

Learn how to recognize and synthesize speech by using Azure Speech.

10. Introduction to computer vision concepts

Introduction to computer vision concepts

11. Get started with computer vision in Azure

Azure Vision service enables software engineers to create intelligent solutions that extract information from images; a common task in many artificial intelligence (AI) scenarios.

12. Introduction to AI-powered information extraction concepts

AI information extraction enables you to extract data values from documents, images, and other unstructured data sources.

13. Get started with AI-powered information extraction in Azure

AI gives you the power to unlock insights from your data. In this module, you'll learn how to use Azure AI services to extract information from content.