Microsoft Azure AI Fundamentals

Course duration, academic hours: 8
Price (excl. VAT) 350,00 
Price (with VAT): 423,50 
Lecturer: Uldis Doniņš
Uldis Doniņš
Uldis Donins is a software engineering and data science professional who is passionate about using technology to drive innovation and solve complex problems. A foundation of knowledge in software design, development, delivery and project management drives Uldis and his teams to the success. The lecturer is an enthusiast of constant learning and keeping up with the latest industry trends. The instructor combines keeping up with the trends and a strong base of knowledge and skills.

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Course target

The AI-900T00 course is designed to provide a broad introduction to artificial intelligence (AI) and its applications. The course covers fundamental concepts of machine learning, including types of algorithms, training data, and evaluation metrics. Students will learn about Azure AI services, such as Azure Cognitive Services and Azure Machine Learning, and how to use them to build intelligent applications.
By the end of the course, students should have a basic understanding of AI and its capabilities, and be able to identify potential use cases for AI in their own organizations.


The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solutions 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 in 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 knowledge of fundamental programming principles will be helpful.

At Course Completion

After completing this course, learners should be able to:

  • Describe Artificial Intelligence workloads and considerations
  • Describe 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.

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. 


Experience using computers and the internet.
Interest in use cases for AI applications and machine learning models.
A willingness to learn through hands-on exploration.

Training materials

Microsoft learn environment.

Certification Exam

This course helps you prepare for the following Microsoft Certification exam: AI-900: Microsoft Azure AI Fundamentals

Course outline

1. Explore Fundamentals of Artificial Intelligence:

  • Introduction to Artificial Intelligence
  • Artificial Intelligence in Microsoft Azure

2. Explore Fundamentals of Machine Learning:

  • Introduction to Machine Learning
  • Azure Machine Learning

3. Explore Fundamentals of Computer Vision:

  • Computer Vision Concepts
  • Creating Computer Vision solutions in Azure

4. Explore Fundamentals of Natural Language Processing:

  • Introduction to Natural Language Processing
  • Building Natural Language Solutions in Azure

If you want to get more information about this course, contact us by phone +371 67505091 or send us an e-mail at