AI in Business


This is a course about one of the most talked about technologies today: Artificial Intelligence (AI). AI has delivered some of the most amazing technical advances of the last decade, outperforming human abilities in domains as diverse as image recognition, natural language understanding, pattern detection, prediction and autonomous devices. It has shown it can transform entire industries over the course of a few years, and change the way we think about our lives, jobs, businesses, government and society. This course focusses on the numerous ways that businesses can profit from applying AI.


This program is suitable for managers and executives who want to understand AI and how it relates to their business environment


Candidates can expect to gain knowledge and understanding in the following upon successful completion of the education and examination components related to this certification.

  • Describe AI and the role it can play to deliver benefits for your organization.
  • Identify potential applications of AI in practice
  • Assess the main capabilities of AI and the core technologies that help deliver them
  • Understand the challenges that implementation of AI brings to the business
  • Comprehend the data requirements for AI


What is AI and why is it good for business?

  • Define AI and its subfields, such as Machine Learning, Natural Language Processing, Computer Vision, etc.
  • AI is making computers do smart things, like understanding language, seeing images, and playing games.
  • AI can help businesses do things faster, better, and cheaper, but it also has some problems and risks.
  • There are many examples of how businesses use AI, such as finding customers, suggesting products, catching fraud, and analysing feelings.

How does AI learn from data and what are the different ways of learning?

  • AI learns from data by finding patterns and rules, using math and logic.
  • There are different ways of learning, such as learning from examples, learning by yourself, and learning by trial and error.
  • There are different methods of learning, such as finding relationships, finding groups, finding differences, and finding similarities.