EXIN BCS Artificial Intelligence Essentials (AIE) Exam Syllabus

AIE PDF, AIE Dumps, AIE VCE, EXIN BCS Artificial Intelligence Essentials Questions PDF, EXIN BCS Artificial Intelligence Essentials VCE, EXIN AIE Dumps, EXIN AIE PDFUse this quick start guide to collect all the information about EXIN AIE 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 Essentials (AIE) 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 Essentials certification exam.

The EXIN AIE certification is mainly targeted to those candidates who want to build their career in Technologies and Software domain. The EXIN BCS Artificial Intelligence Essentials exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of EXIN AIE.

EXIN AIE Exam Summary:

Exam Name EXIN BCS Artificial Intelligence Essentials
Exam Code AIE
Exam Price $192 (USD)
Duration 30 mins
Number of Questions 20
Passing Score 65%
Schedule Exam Pearson VUE
Sample Questions EXIN AIE Sample Questions
Practice Exam EXIN AIE Certification Practice Exam

EXIN AIE Exam Syllabus Topics:

Topic Details Weights
Artificial and Human Intelligence: An Introduction and History The candidate can…
- recall the general definition of human and Artificial Intelligence (AI).
- describe ‘learning from experience’ and how it relates to Machine Learning (ML  (Tom Mitchell’s explicit definition).
- 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’.		 25%
Examples of AI: Benefits, Challenges and Risks The candidate can…
- explain the benefits of Artificial Intelligence, and
  • list advantages of machine and human and machine systems;

- describe the challenges of Artificial Intelligence, and give:

  • general examples of the limitations of AI compared to human systems,
  • general ethical challenges AI raises.

- demonstrate understanding of the risks of Artificial Intelligence, and

  • give at least one a general example of the risks of AI;

- identify a typical funding source for AI projects;
- list opportunities for AI.

 30%
An introduction to Machine Learning The candidate can…
- demonstrate understanding of the AI intelligent agent description, and:
  • identify the differences with Machine Learning (ML), and:
  • 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 utility-based.

- give typical examples of Machine Learning in the following contexts:

  • business,
  • social (media, entertainment),
  • science.

- recall which typical, narrow AI capability is useful in ML and AI agents’ functionality;
- describe and give examples of the following forms of ML:

  • supervised,
  • unsupervised,
  • reinforcement.

- describe the basic schematic of a neutral network.

 35%
The Future of Artificial Intelligence – Human and Machine Together The candidate can…
- 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.		 10%

To ensure success in EXIN AIE certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for EXIN BCS Artificial Intelligence Essentials (AIE) exam.

 

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