
Course Introduction and outline.
Key definitions of Artificial Intelligence terms.
Key milestones in the historical development of AI.
A look at the different types of AI and common use cases.
A look at the role of ethics and the difference between ethics and law.
Consideration of some key ethical concerns in AI.
Some guiding principles in the use of ethical AI and a brief look at AI governance.
A look at some common uses of artificial intelligence.
A look at robotics and an introduction to AI agents.
An introduction to Machine Learning.
A look at some machine learning concepts and examples.
Definitions of some key data terms.
A look at the characteristics of data quality.
A consideration of some of the risks associated with handling data.
A look at some data visualisation techniques and tools.
Definitions of some key generative AI terms.
A brief look at the use of data in the machine learning process.
A look at opportunities for AI in your organisation.
A brief look at some different project management approaches.
A look at some governance activities associated with implementing AI.
A look at some of the roles and career opportunities presented by AI.
A look at some real world use cases of AI.
Considering AI's impact on society.
A look at the potential future trends of AI.
A step by step guide to booking your BCS certification exam.
This is a full syllabus learning course with integrated exam practice — not just a set of practice questions.
Artificial Intelligence (AI) is moving quickly, and preparing for an AI certification can feel overwhelming without clear, structured guidance.
This course is a complete learning and exam preparation course for the BCS Essentials Certificate in Artificial Intelligence (v2.0).
The course teaches each topic in the BCS syllabus with clear, accessible explanations, followed by topic-based practice questions to help you check your understanding and build real exam confidence.
You’ll explore what AI is, how it has evolved, and how modern approaches such as machine learning, deep learning, and generative AI fit into the wider AI landscape. The course also covers ethical, legal, and societal considerations, including bias, transparency, governance, and responsible AI use.
You’ll learn about key AI enablers such as data, the Internet of Things (IoT), and data visualisation, and how organisations apply AI for automation and decision-making. The course concludes by looking at the future of AI, including human–machine collaboration and emerging trends.
This course is suitable for professionals preparing for the BCS Essentials Certificate in AI and anyone seeking a clear, structured introduction to AI with exam preparation included.