Microsoft Azure AI Fundamentals Course: AI-900T00-A

One day • Instructor-led training • Virtual course

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Course summary: Microsoft Azure AI Fundamentals

The Microsoft Azure AI Fundamentals course (AI-900T00-A) trains IT professionals in the fundamentals of Microsoft Azure AI services. Learners on the course will gain knowledge of typical AI workloads and the Azure services that enable them. Students will take part in hands-on exercises related to Azure AI processes.

Training details

  • Format: instructor-led, virtual
  • Length: 1 day
  • Price: £680 (+VAT)

Certification

Microsoft Azure AI Fundamentals prepares you for the AI-900: Microsoft Azure AI Fundamentals exam. Students who pass the exam will gain the AI-900 certification (Microsoft Certified: Azure AI Fundamentals).

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Skills gained

Azure AI fundamentals training empowers you with knowledge of:

  • AI workloads and considerations
  • fundamental principles of machine learning on Azure
  • computer vision workloads on Azure
  • Natural Language Processing (NLP) workloads on Azure
  • conversational AI workloads on Azure

Microsoft Azure AI Fundamentals

AI-900T00-A

  • Instructor-led virtual training
  • 1 day
  • £680 (+VAT)

Register


Audience profile

Learning goals

Learners on the Microsoft Azure AI Fundamentals course are interested in learning about the Azure services that enable AI solutions. Students often aim to take the AI-900: Microsoft Azure AI Fundamentals exam and gain the AI-900 certification.

Applicable job roles

AI engineer, developer, data scientist.

Prerequisites

No specific experience is necessary before taking course. However, you will need a basic knowledge of computer technology and the Internet. A level of confidence with mathematics, such as being able to interpret charts, is also required. You’ll also benefit from a fundamental grasp of programming principles.

Students with no experience of Microsoft Azure may benefit from taking the following courses first:

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    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, students 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, students 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, students 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.

    Lessons

    • Protect against security threats on Azure
    • Secure network connectivity on Azure

    After completing this module, students 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, students will be able to:

    • Describe features of conversational AI workloads on Azure

    Azure AI engineer learning path

    Fundamentals

    Course AZ-900T01-A: Microsoft Azure Fundamentals (1 Day)

    OR

    Course AZ-900T00-A: Microsoft Azure Fundamentals (2 Day)

    Intermediate

    Course AI-900T00-A: Microsoft Azure AI Fundamentals

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