Artificial Intelligence (AI) Essentials

Overveiw

The BCS Artificial Essential certification Training course will enable you to acquire enough knowledge about the fundamentals of Artificial Intelligence (AI), its applications, terms, and risks involved. It also provides you with information about the terms like machine learning and neural systems.

You will be visible to several matters and apprehensions concerning Artificial Intelligence like integrities, bias and careers. This training course also provides you with experts advice regarding how you can learn and begin a career in Artificial Intelligence.

Artificial intelligence is a procedure which employs and enables the non-human structure to seek knowledge from experience, practice and emulate the intellectual power of a human.

The Artificial Intelligence Basics test examines the knowledge and perception of the candidate about the terms and general principals of this course. The curriculum of this training course provides the various benefits and covers the following:

• Kinds of Artificial Intelligence

• The fundamental procedure of (ML) Machine Learning

• The tasks and jeopardies related to an Artificial Intelligenc

Skills Gained

• 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

This course is likely to add to the employment related skills of the participants. The skills developed are likely to be used in the course of being an employee or working in a business.

Outline

• 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’

• Explain the benefits of Artificial Intelligence

• Describe the challenges of Artificial Intelligence, and give

• Demonstrate understanding of the risks of Artificial Intelligence

• Identify a typical funding source for AI project

• List opportunities for AI

• Demonstrate understanding of the AI intelligent agent description

• Give typical examples of Machine Learning in the following contexts

• Recall which typical, narrow AI capability is useful in ML and AI agents’ functionality

• Describe and give examples of the following forms of ML

• Describe the basic schematic of a neutral network

• 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