Use this quick start guide to collect all the information about EXIN AIF Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the EXIN BCS Artificial Intelligence Foundation (AIF) exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual EXIN BCS Artificial Intelligence Foundation certification exam.
The EXIN AIF certification is mainly targeted to those candidates who want to build their career in Technologies and Software domain. The EXIN BCS Artificial Intelligence Foundation exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of EXIN AIF.
EXIN AIF Exam Summary:
| Exam Name | EXIN BCS Artificial Intelligence Foundation |
| Exam Code | AIF |
| Exam Price | $262 (USD) |
| Duration | 60 mins |
| Number of Questions | 40 |
| Passing Score | 65% |
| Schedule Exam | Pearson VUE |
| Sample Questions | EXIN AIF Sample Questions |
| Practice Exam | EXIN AIF Certification Practice Exam |
EXIN AIF Exam Syllabus Topics:
| Topic | Details |
|---|---|
Ethical and Sustainable Human and Artificial Intelligence (AI) - 20% |
|
| Recall the General Definition of Human and Artificial Intelligence (AI) |
The candidate can… - 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 Artificial Intelligence (AI), in Particular: |
The candidate can… - 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 Artificial Intelligence (AI) that is technically robust. - recall that the Human Centric Ethical Purpose Trustworthy Artificial Intelligence (AI) is continually assessed and monitored. |
| Describe the Three Fundamental Areas of Sustainability and the United Nation’s Seventeen Sustainability Goals | |
| Describe how Artificial Intelligence (AI) is Part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution’ | |
| Understand that Machine Learning (ML) is a Significant Contribution to the Growth of Artificial Intelligence (AI) |
The candidate can… - describe ‘learning from experience’ and how it relates to Machine Learning (ML) (Tom Mitchell’s explicit definition). |
Artificial Intelligence (AI) and Robotics - 20% |
|
| Demonstrate Understanding of the Artificial Intelligence (AI) Intelligent Agent Description, and: |
The candidate can… - list the four rational agent dependencies. - describe agents in terms of performance measure, environment, actuators and sensors. - describe four types of agent: reflex, model-based reflex, goal-based and utilitybased. - identify the relationship of Artificial Intelligence (AI) agents with Machine Learning (ML). |
| Describe what a Robot is and: |
The candidate can… - describe robotic paradigms |
| Describe what an Intelligent Robot is and: |
The candidate can… - relate intelligent robotics to intelligent agents. |
Applying the Benefits of Artificial Intelligence (AI) – Challenges and Risks - 15% |
|
| Describe how Sustainability Relates to Human-Centric Ethical Artificial Intelligence (AI) and how our Values will Drive our use of Artificial Intelligence (AI) and will Change Humans, Society and Organizations | |
| Explain the Benefits of Artificial Intelligence (AI) by: |
The candidate can… - list advantages of machine and human and machine systems. |
| Describe the Challenges of Artificial Intelligence (AI), and: |
The candidate can… - give examples of general ethical challenges Artificial Intelligence (AI) raises. - give general examples of the limitations of Artificial Intelligence (AI) systems compared to human systems. |
| Demonstrate Understanding of the Risks of Artificial Intelligence (AI) Projects, and: |
The candidate can… - give at least one a general example of the risks of Artificial Intelligence (AI). - describe a typical Artificial Intelligence (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 Artificial Intelligence (AI) | |
| Identify a Typical Funding Source for Artificial Intelligence (AI) Projects and Relate to the NASA Technology Readiness Levels (TRLs) | |
Starting Artificial Intelligence (AI): how to Build a Machine Learning (ML) Toolbox – Theory and Practice - 30% |
|
| Describe how we Learn from Data Functionality, Software and Hardware |
The candidate can… - list common open source machine learning functionality, software and hardware. - describe introductory theory of Machine Learning (ML). - describe typical tasks in the preparation of data. - describe typical types of Machine Learning (ML) Algorithms. - describe the typical methods of visualizing data. |
| Recall which Typical, Narrow Artificial Intelligence (AI) Capability is Useful in Machine Learning (ML) and Artificial Intelligence (AI) Agents’ Functionality | |
The Management, Roles and Responsibilities of Humans and Machines - 15% |
|
| Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) 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 |
The candidate can… - describe the type of team members needed for an Agile project. |
To ensure success in EXIN AIF certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for EXIN BCS Artificial Intelligence Foundation (AIF) exam.