Artificial Intelligence - BCS Foundation Certificate

Study time: 40 hours

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12 months course access

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Aligned to SFIAPlus IT Industry Framework

Globally Recognised BCS Certificate

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Includes BCS Artificial Intelligence eBook.
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Digital access to the BCS Artificial Intelligence Book

Practice exam papers

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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, in particular:
Recall the general definition of ethics.Recall that a Human Centric Ethical Purpose respects fundamental rights,
principles, and values.Recall that Ethical Purpose AI is delivered using Trustworthy AI that is
technically robust.Recall that the Human Centric Ethical Purpose Trustworthy AI is
continually assessed and monitored.

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).

Demonstrate understanding of the AI intelligent agent description, and:
list the four rational agent dependencies.describe agents in terms of performance measure, environment, actuators,
and sensorsdescribe four types of agent: reflex, model-based reflex, goal-based and
utility-based.identify the relationship of AI agents with Machine Learning (ML).

Describe what a robot is and:
Describe robotic paradigms,

Describe what an intelligent robot is and:
Relate intelligent robotics to intelligent agents.

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 by.
list advantages of machine and human and machine systems.

Describe the challenges of Artificial Intelligence, and give;
general ethical challenges AI raises.. general examples of the limitations of AI systems compared to human
systems.

Demonstrate understanding of the risks of AI project, and:
give at least one a general example of the risks of AI,describe a typical AI project team in particular,
describe a domain expert,describe what is ‘fit-of-purpose’,describe the difference between waterfall and agile projects.

List opportunities for AI.

Identify a typical funding source for AI projects and relate to the NASA Technology
Readiness Levels (TRLs).

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.

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.