The learning journey provides an introduction to artificial intelligence (AI), the fundamentals of machine learning, and how to use Azure AI services to build innovative solutions

This course is open to beginners with no previous experience with Microsoft Azure and focuses on providing an introduction to the basics of AI. It's ideal for individuals who want to develop a general understanding of the AI capabilities that Azure offers, including students, business professionals, IT staff, and anyone curious about how AI can be applied across domains. A basic knowledge of computing and the Internet is assumed, and while not strictly necessary, some familiarity with programming and basic math, such as interpreting graphs, could enhance the learning experience. Through hands-on exercises, participants are encouraged to get started with AI technologies right away, making this course an excellent first step for those who want to explore the possibilities of AI within the Azure platform.

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The educational model is a hybrid form that combines direct instruction by a teacher with online learning materials from the Microsoft Learn platform. The hands-on assignments are based on Learn modules, encouraging students to use the online material as a reference to reinforce what they've learned in class and to further delve into the topics.

Module 1: Introduction to AI

In this module, you'll learn about common artificial intelligence (AI) applications and the different types of workloads associated with AI. Next, you'll explore considerations and principles for responsible AI development.

- Artificial Intelligence in Azure
- Responsible AI

After completing this module, you will be able to:
- Artificial Intelligence describe workloads and considerations

Module 2: Machine Learning

Machine learning is the basis for modern AI solutions. In this module, you'll learn about some fundamental machine learning concepts and how to use the Azure Machine Learning service to create and publish machine learning models.

- Introduction to Machine Learning
- Azure Machine Learning

After completing this module, you will be able to:
- Describe fundamental machine learning principles on Azure

Module 3: Computer Vision

Computer vision is an area of AI that deals with visually understanding the world, through images, video files, and cameras. In this module, you will explore multiple computer vision techniques and services.

- Computer Vision concepts
- Computer Vision on Azure

After completing this module, you will be able to:
- Describe features of computer vision workloads on Azure

Module 4: Natural Language Processing

This module describes scenarios for AI solutions that can process written and spoken language. You'll learn about Azure services that can be used to build solutions that analyze text, recognize and synthesize speech, translate across languages, and interpret commands.

After completing this module, you will be able to:
- Describe features of Natural Language Processing (NLP) workloads on Azure

Module 5: Conversational AI

Conversational AI allows users to engage in dialogue with an AI agent, or *bot*, through communication channels such as email, web chat interfaces, social media, and others. This module describes some of the basic principles for working with bots and gives you the chance to create a bot that can respond intelligently to user queries.

- Conversational AI concepts
- Conversational AI in Azure

After completing this module, you will be able to:
- Describe features of Conversational AI workloads on Azure

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