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BCS Foundation Certificate In Artificial Intelligence

Last Updated: Oct 3, 2024
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40 Questions and Answers for the BCS AIF exam

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BCS Foundation Certificate In Artificial Intelligence Syllabus
  • Recall that Ethical Purpose AI is delivered using Trustworthy AI that is technically robust/ Recall the general definition of Ethics
  • 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 agents in terms of performance measure, environment, actuators and sensors/ Recall the general definition of Human and Artificial Intelligence (AI)
  • Describe four types of agent: reflex, model-based reflex, goal-based and utility-based/ Explain the benefits of Artificial Intelligence
  • Demonstrate understanding of the risks of AI project/ Ethical and Sustainable Human and Artificial Intelligence
  • Demonstrate understanding of the AI intelligent agent description/ Starting AI how to build a Machine Learning Toolbox - Theory and Practice
  • Recall which typical, narrow AI capability is useful in ML and AI agents’ functionality/ The Management, Roles and Responsibilities of humans and machines
  • Describe a ‘learning from experience’ Agile approach to projects/ Describe the type of team members needed for an Agile project
  • Describe the three fundamental areas of sustainability and the United Nation’s seventeen sustainability goals/ General examples of the limitations of AI systems compared to human systems
  • Describe how we learn from data – functionality, software and hardware/ Identify the relationship of AI agents with Machine Learning (ML)
  • List common open source machine learning functionality, software and hardware/ Relate intelligent robotics to intelligent agents
  • Identify a typical funding source for AI projects and relate to the NASA Technology Readiness Levels (TRLs)/ Describe a modern approach to Human logical levels of thinking using Robert Dilt’s Model
  • Recall that the Human Centric Ethical Purpose Trustworthy AI is continually assessed and monitored/ Describe the difference between waterfall and agile projects
  • List future directions of humans and machines working together/ Describe what are Ethics and Trustworthy AI, in particular
  • Applying the benefits of AI - challenges and risks/ Describe the challenges of Artificial Intelligence