Description
Exam Name: BCS Foundation Certificate In Artificial Intelligence
Exam Code: AIF
Related Certification(s): BCS Artificial Intelligence AI Certification
Certification Provider: BCS
Actual Exam Duration: 60 Minutes
Number of AIF practice questions in our database: 40 (updated: Jan. 31, 2025)
Expected AIF Exam Topics, as suggested by BCS :
- Module 1: Recall that Ethical Purpose AI is delivered using Trustworthy AI that is technically robust/ Recall the general definition of Ethics
- Module 2: 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
- Module 3: Describe agents in terms of performance measure, environment, actuators and sensors/ Recall the general definition of Human and Artificial Intelligence (AI)
- Module 4: Describe four types of agent: reflex, model-based reflex, goal-based and utility-based/ Explain the benefits of Artificial Intelligence
- Module 5: Demonstrate understanding of the risks of AI project/ Ethical and Sustainable Human and Artificial Intelligence
- Module 6: Demonstrate understanding of the AI intelligent agent description/ Starting AI how to build a Machine Learning Toolbox – Theory and Practice
- Module 7: Recall which typical, narrow AI capability is useful in ML and AI agents’ functionality/ The Management, Roles and Responsibilities of humans and machines
- Module 8: Describe a ‘learning from experience’ Agile approach to projects/ Describe the type of team members needed for an Agile project
- Module 9: 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
- Module 10: Describe how we learn from data – functionality, software and hardware/ Identify the relationship of AI agents with Machine Learning (ML)
- Module11: List common open source machine learning functionality, software and hardware/ Relate intelligent robotics to intelligent agents
- Module 12: 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
- Module 13: Recall that the Human Centric Ethical Purpose Trustworthy AI is continually assessed and monitored/ Describe the difference between waterfall and agile projects
- Module 14: List future directions of humans and machines working together/ Describe what are Ethics and Trustworthy AI, in particular
- Module 15: Applying the benefits of AI – challenges and risks/ Describe the challenges of Artificial Intelligence
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