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Microsoft Azure AI Fundamentals AI-900

This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions.

Azure AI Fundamentals AI-900 CourseCourse Overview Azure AI Fundamentals

This course is designed for candidates looking to demonstrate foundational-level knowledge of machine learning (ML) and artificial intelligence (AI) concepts, and related Microsoft Azure services. In this course, you will learn how to use Azure services to create machine learning, computer vision, natural language processing, and also on conversational AI solutions through hands-on activities.

The course is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.

Audience profile Azure AI Fundamentals

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.

Skills Gained

  • Describe Artificial Intelligence workloads and considerations
  • Fundamental principles of machine learning on Azure
  • Describe features of computer vision workloads on Azure
  • Natural Language Processing (NLP) workloads on Azure
  • And also, of conversational AI workloads on Azure

Prerequisites

No certification required upon 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.
  • Lastly, a willingness to learn through hands-on exploration.

Course outline

Module 1: Introduction to AI

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

Lessons

  • Artificial Intelligence in Azure
  • Responsible AI

After completing this module you will be able to:

  • Describe Artificial Intelligence workloads and considerations

Module 2: Machine Learning

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

Lessons

  • Introduction to Machine Learning
  • Azure Machine Learning

After completing this module you will be able to:

  • Describe fundamental principles of machine learning on Azure

Module 3: Computer Vision

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

Lessons

  • Computer Vision Concepts
  • Computer Vision in 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. This Azure services also helps on analyzing text, recognizing and synthesizing speech, translating between languages, and interpreting 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 enables users to engage in a dialog with an AI agent, or bot, through communication channels such as email, webchat interfaces, social media, and others. This module describes some basic principles for working with bots and gives you an opportunity to create a bot that can respond intelligently to user questions

Lessons

  • 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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    202 Church Street S.E. , Suite 203 Leesburg, VA 20175
    202-410-6400
    800-453-596 (Toll Free)
    sales@dynamicsedge.com