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Principles of Artificial Intelligence

Business Applications of AI

Artificial Intelligence has a vast range of business applications, from text and image analysis and speech recognition to behaviour and sentiment analysis. In this non-technical course, you can explore some of these applications, how they are implemented and the benefits they bring to a business.

Intermediate        11 Lessons        60 Minutes        CPD Credits
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About This Course

With the fundamentals covered, it’s time to look at how AI is transforming modern businesses. In this course, you will explore the various practical business applications of AI algorithms.

You will, using examples, explore the principles of supervised, unsupervised and reinforcement learning models. You will learn the most appropriate use case for each model. You will also examine some of the technical challenges which arise when implementing AI algorithms.

By the end of this course, you will have a high-level understanding of AI and its place in modern business. You will be ready to take this conceptual knowledge and put it to more practical use.

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Learning Outcomes

  • Explain the principles of supervised, unsupervised, and reinforcement learning models
  • List examples of supervised and unsupervised learning algorithms
  • Differentiate between a training dataset and a test dataset
  • Identify examples of use cases for supervised and unsupervised learning algorithms
  • Discuss the technical challenges of implementing AI algorithms


1. Using AI in Business
2. Principles of Supervised Learning
3. Applying Supervised Learning Models
4. Basic Supervised Learning Methods
5. More Advanced Supervised Methods
6. Natural Language Processing

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7. Understanding Computer Vision
8. Technical Challenges of AI
9. Introducing Unsupervised Learning
10. Understanding Cluster Analysis
11. Introducing Reinforcement Learning
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