Academy | Syllabus
BCS Artificial Intelligence Foundation
Offered by EXIN, BCS Artificial Intelligence Foundation certification tests a candidate’s knowledge and understanding of the terminology and general principles of AI. The BCS Artificial Intelligence Foundation training program offered by Multimatics is designed to help participants understand better about the potential benefits and challenges of Ethical and Sustainable Robust Artificial Intelligence; the basic process of Machine Learning (ML) – Building a Machine Learning Toolkit; the challenges and risks associated with an AI project, and the future of AI and Humans in work. The training material is prepared based on the official workbook by EXIN, accompanied by discussions and exercises to work on the questions.
Multimatics is an EXIN’s Silver Partner and Authorized Training Organization for BCS Artificial Intelligence Foundation training and certification program accredited by EXIN.
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Program Details
Durations
The program is a 3-day intensive training class.
Method of Delivery
The program provided by Multimatics will be delivered through interactive presentation by professional instructor(s), group debriefs, individual and team exercises, behavior modelling and roleplays, one-to-one and group discussion, case studies, and projects.
Who Should Attend?
The program is designed for individuals with an interest in, (or need to implement) AI in an organization, especially those working in areas such as science, engineering, knowledge engineering, finance, or IT services.
Program Objectives
By the end of the program, participants will be able to:
- 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’
- 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, identify a typical funding source for AI projects and list opportunities for AI
- 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
Examination Details
Duration
3 Days
Format
- Open BookClose Book
Level
-
Passing Grade
65%
Program Modules
Ethical and Sustainable Human and Artificial Intelligence (AI)
Topic Covered
- Recall the General Definition of Human and Artificial Intelligence (AI)
- Describe what are Ethics and Trustworthy Artificial Intelligence (AI)
- 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)