Course Description

Artificial Intelligence (AI) is a methodology used by organisations to imitate human intelligence behaviour. Our BCS AI training course will teach you the knowledge, terminology and principles of Artificial Intelligence.

BCS has built on the Artificial Intelligence Essentials certification training course, to develop a portfolio of AI examples using the basic process of machine learning, teaching you how Artificial Intelligence can deliver business, engineering, and knowledge benefits to organisations around the world.

The BCS Artificial Intelligence Foundation training course will teach you more advance AI principles and show you the potential implications of AI.

This syllabus covers:

Benefits and challenges of Ethical and Sustainable Robust Artificial Intelligence.
Process of Machine Learning and building a Machine Learning Toolkit.
Risks and challenges associated with AI.
Future for humans and AI in the workplace.

Modules Covered

BCS Artificial Intelligence Syllabus

Learning Outcomes

Human-centric Ethical and Sustainable Human and Artificial Intelligence.
Artificial Intelligence and Robotics.
Applying the benefits of AI projects - challenges and risks.
Machine Learning Theory and Practice – Building a Machine Learning Toolbox.
The Management, Roles and Responsibilities of Humans and Machines – The Future of AI.

BCS Artificial Intelligence Syllabus

Ethical and Sustainable Human and Artificial Intelligence (20%)

Recall the general definition of Human and Artificial Intelligence (AI).
Describe the concept of intelligent agents.
Describe a modern approach to Human logical levels of thinking using Robert Dilt’s Model.
Describe what are Ethics and Trustworthy AI.
Describe the three fundamental areas of sustainability and the United Nation’s seventeen sustainability goals.
Describe how AI is part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution’.
Understand that ML is a significant contribution to the growth of Artificial Intelligence.
Describe ‘learning from experience’ and how it relates to Machine Learning (ML) (Tom Mitchell’s explicit definition).

Artificial Intelligence and Robotics (20%)

Demonstrate understanding of the AI intelligent agent description
Describe what a robot is, robotic paradigms and describe what an intelligent robot is

Applying the benefits of AI - challenges and risks (15%)

Describe how sustainability relates to human-centric ethical AI and how our values will drive our use of AI will change humans, society, and organisations.
Explain the benefits of Artificial Intelligence.
Describe the challenges of Artificial Intelligence.
Demonstrate understanding of the risks of AI project.
List opportunities for AI.
Identify a typical funding source for AI projects and relate to the NASA Technology Readiness Levels (TRLs).
Starting AI how to build a Machine Learning Toolbox - Theory and Practice (30%)
Describe how we learn from data – functionality, software, and hardware,
List common open source machine learning functionality, software, and hardware.
Describe introductory theory of Machine Learning.
Describe typical tasks in the preparation of data.
Describe typical types of Machine Learning Algorithms.
Describe the typical methods of visualising data.
Recall which typical, narrow AI capability is useful in ML and AI agents’ functionality.

The Management, Roles and Responsibilities of humans and machines (15%)

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.
Describe a ‘learning from experience’ Agile approach to projects
Describe the type of team members needed for an Agile project.

Accreditation

This course is nationally accredited by BCS - The Chartered Institute for IT

BCS, The Chartered Institute for IT, promotes wider social and economic progress through the advancement of information technology science and practice. BCS has been committed to this mission since the organisation was established in 1957.

Benefits

Join a community of over 615,000
Certified & Experienced Trainers
1-year BCS membership included
Interest-free Payments

Eligibility

Please note this is a paid qualification, therefore you will have to pay the course fee in order to start studying.

Is the BCS Artificial Intelligence Foundation course suitable for me?

The BCS Artificial Intelligence Foundation certificate training course would be suitable for individuals with an interest or responsibility in implementing AI within an organisation.

Middle and Senior Manager's responsible for organising AI dependent team's services and applications would also benefit from this training course.

Typically, this course will benefit individuals who work in the following sectors: