Course AI-900: Microsoft Azure AI Fundamentals - CTU Training Solutions
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Course AI-900: Microsoft Azure AI Fundamentals

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.
Duration: 1 day   |   Location : Online
Course Prerequisites:
Familiarity with computers and using web browser
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Virtual Lecturer-led Interactive Teaching (VLIT)

Virtual instruction environments are designed to simulate the traditional classroom or learning experience. Instructor-led training is still the number one delivery method of choice because it allows you to interact and discuss the training material, either individually or in a group setting, and you gain access to expert knowledge from certified instructors. This form of guided learning is impactful and produces positive learning outcomes. Day, evening and Saturday classes are offered.

Module 1: Introduction to AI

In this module, you’ll learn about common uses of artificial intelligence (AI), and the different types of the 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 machine learning concepts, and how to use the Azure Machine Learning service to create and publish machine learning 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 an 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 that analyze text, recognize and synthesize speech, translate between 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 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
CTU Training Solutions , Updated: February 3rd, 2021

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The course information above is subject to change without notification due to market trends in the industry, legislation and/or programme version updates. Terms and Conditions

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