OVERVIEW
Artificial intelligence (AI) has boomed in popularity and use in recent years and is now widely used. It is transforming industry and the future of technology by enabling systems to learn and mimic human intelligence. The EXIN BCS Artificial Intelligence Essentials certification provides an introduction into key AI terminology and tools and what they mean for society. The preparation guide covers the following aspects of AI: its history, ethical and sustainable AI challenges, key AI enablers like data, and the future of AI- human interaction in the workplace. This certification offers a broad yet straightforward first step into navigating the constantly evolving AI landscape.
The Artificial Intelligence Essentials certificate is focused on individuals with an interest in, (or need to implement) AI in an organization, especially those working in areas such as science, engineering, knowledge engineering, finance, or IT services.
DURATION : 1 DAYS
LEARNING OUTCOME
➢ Recall the general definition of human and Artificial Intelligence (AI).
➢ Describe ‘learning from experience’ and how it relates to Machine Learning (ML) (Tom Mitchell’s explicit definition).
➢ Understand that ML is a significant contribution to the growth of Artificial Intelligence.
➢ Describe how AI is part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution’.
➢ Describe the challenges of Artificial Intelligence, and give general examples of the limitations of AI compared to human systems, general ethical challenges AI raises.
➢ Demonstrate understanding of the risks of Artificial Intelligence, identify a typical funding source for AI projects and list opportunities for AI.
➢ Demonstrate an understanding that Artificial Intelligence (in particular, Machine Learning) will drive humans and machines to work together.
➢ List future directions of humans and machines working together.
COURSE OUTLINE
➢ Artificial and Human Intelligence: An Introduction and History.
➢ Examples of AI: Benefits, Challenges and Risks.
➢ An introduction to Machine Learning.
➢ The Future of Artificial Intelligence – Human and Machine Together.
