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365 days online course

Online course: Introduction to Artificial Intelligence

Learn how to build your knowledge in artificial intelligence and get an understanding of its business applications. This online course will introduce you to a broad overview of AI concepts, workflows and performance metrics, as well as machine learning and deep learning. You’ll find out how clustering and classification algorithms help identify AI business applications, and will also be taught the difference between supervised, unsupervised and reinforcement learning.

About the course

The basic terminologies, concepts, scope and stages of artificial intelligence are all covered in this course, it will also look at their effect on real-world business processes and how AI drives business value. By the end of the course, you will be able to apply machine learning workflow to solve business problems, clearly define various supervised and unsupervised AI algorithms, and measure ROI based on performance metrics.

Target audience

We would recommend this course for anyone looking to begin a career in artificial intelligence or machine learning, as it will give you a good foundation on which to build your knowledge.

It would work well for C-level and middle management professionals who are looking to generate business value and ROI from AI and machine learning.

It is also well-suited to the following audience:

  • Information architects who are interested in developing expertise in AI algorithms
  • Developers looking for roles as artificial intelligence engineers or machine learning engineers
  • Analytics managers who are leading a team of analysts
  • Analytics professionals who want to move into the field of machine learning or artificial intelligence

Benefits (Learning objectives)

  • The meaning and purpose of AI, as well as the scope, stages, applications and effects
  • The basic concepts of machine learning and deep learning
  • How to effectively implement the steps of a machine learning workflow
  • The difference between supervised, semi-supervised and unsupervised learning
  • The role of performance metrics and how to identify key methods

Prerequisites

There are no pre-requisites for this course – you do not need to have a programming or IT background.

Content

  • Course introduction
  • Decoding artificial intelligence
  • Fundamentals of machine learning and deep learning
  • Machine learning workflow
  • Performance metrics

Online course: Introduction to Artificial Intelligence package from Danish Technological Institute

 
You will get a solid bundle of teaching material with the online course package from the Danish Technological Institute, which consists of:
  • 12 months access to interactive and involving modules

Duration

This course is expected to take approximately 3 hours.
 

Language

All materials are in English.

The course is offered by our partner, ILX Group.

Do you have any questions please contact