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