AI-900T00 Azure AI Fundamentals





1 Day

Delivery Method

Instructor Led - Online

This comprehensive course provides an introduction to the fundamental concepts of artificial intelligence (AI) and familiarizes students with the Microsoft Azure services that can be used to create AI solutions. It is designed to equip individuals with the ability to identify Azure services that support common AI workloads, rather than to train them as professional data scientists or developers.


Delivered in a blended learning format, the course features both instructor-led training as well as online materials from the Microsoft Learn platform. Participants will engage in hands-on exercises based on Learn modules, which may be used as reference materials to reinforce learning and explore topics in greater detail.


Training Estonia, a leading training center serving Estonia, Latvia, and Lithuania, offers this course. Through its rigorous curriculum and high semantic richness, students will not only gain new insights into the world of AI but also prepare for future career opportunities in the field. With a professional tone of voice, the course description conveys to potential students the value and benefits of engaging in this learning experience.


Course Time is "CET" - Central Europe Time!

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


Course Prerequisites:

Prerequisite certification is not required before 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.


AI Engineer, Data Scientist, Developer, Solutions Architect


  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.
  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.
  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.
  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.
  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.

Additional Info

Organizer: NH Prague

Academic Hours: 8 academic hours (1 day)

Experience Level: Foundational

Labs: No

Continuing Education Curriculum Group: Computer Use

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