Artifical Intelligence (Ai) eLearning

Artifical Intelligence (Ai) eLearning

Gain an understanding of AI concepts, workflows and performance metrics

Artificial intelligence (AI) is intelligence demonstrated by machines, making it possible for them to learn from experience and perform human-like tasks. The majority of modern AI examples rely on deep learning and natural language processing, and these technologies enable computers to process large quantities of data and recognise patterns within that data to complete specific tasks and activities.

Artificial intelligence is helping to drive organisations forward, across a broad range of industries. It’s leading to more informed business decisions, helping companies to create innovative new products and services, and enabling businesses to achieve key performance goals.

COURSE OVERVIEW

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.

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.

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

WHAT'S INCLUDED?

12 months online access to the introduction to artificial intelligence eLearning.

Duration: About three hours with high quality eLearning content.

This course includes the following modules:

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