Introduction to Artificial Intelligence Online

If you’re looking to build your knowledge in artificial intelligence, and want to get an understanding of its business applications, then our Introduction to Artificial Intelligence course is exactly what you need! With this course, you’ll get 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.

Course overview

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.

Duration

Approximately three hours of high-quality e-learning content

Learning objectives

By the end of this course, you will be able to understand:

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

What's covered?

This course includes the following modules:

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

What's included?

12 months online access to the Introduction to artificial intelligence e-learning

The Introduction to Artificial Intelligence course is offered by Simplilearn, a partner of ILX Group.

Exam information

There is no exam with this course. However, in order to receive a course completion certificate, you will need to:

Complete the entire course
Complete the course-end assessment with a minimum score of 80%

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

Pre-requisites

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

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