Computing and Digital Technologies

MS AI Fundamentals

Evening

Available at Blended Learning Cumbernauld

Overview


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. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.

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.

On completion students will be prepared to sit the AI-900: Microsoft Azure AI Fundamentals Exam

Course Information


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.

Specifically:

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.

Suggested entry:

An interested in technical aspects of cloud computing, Education to SQA Higher (Level 6) of a proven record of working with computers in a technical capacity

On completion of this course, you will have learned 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
  • Describe features of conversational AI workloads on Azure

This course is one in a series which can take you from entry level through to expert.

Other suggested courses are

DP-900: Microsoft Azure Data Fundamentals

AZ-900: Microsoft Azure AI Fundamentals

Classes Available

Blended Learning Cumbernauld

Evening

  • Cost
  • £110
  • Days
  • 1 evening pw
  • Start Date
  • 06 Sep 2021 - 24 Jan 2022
  • Time
  • 18:00 - 20:00