BCS Foundation Certificate in Artificial Intelligence Practice Exam
BCS Foundation Certificate in Artificial Intelligence Practice Exam
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BCS Foundation Certificate in Artificial Intelligence Practice Exam
The BCS Foundation Certificate in Artificial Intelligence enables candidates to showcase their comprehension and expertise in the application of Ethical and Sustainable Artificial Intelligence, covering the following areas:
Ethical and sustainable human and artificial intelligence with a human-centric approach.
Artificial intelligence and its interaction with robotics.
Addressing the benefits, challenges, and risks associated with AI projects.
Theory and practical applications of machine learning, including building a toolbox for machine learning.
Understanding the management, roles, and responsibilities of humans and machines, and envisioning the future landscape of AI.
Who should take the exam?
The Artificial Intelligence Foundation Certificate is for individuals who have an interest in or a necessity to implement AI within an organization, particularly those operating in fields such as science, engineering, knowledge engineering, finance, education, or IT services. The following roles may find this certification beneficial:
Engineers
Scientists
Professional Research Managers
Chief Technical Officers
Chief Information Officers
Organizational Change Practitioners and Managers
Business Change Practitioners and Managers
Service Architects and Managers
Program and Planning Managers
Service Provider Portfolio Strategists / Leads
Process Architects and Managers
Business Strategists and Consultants
Web Page Developers
Exam Details
Exam Name: BCS Foundation Certificate in Artificial Intelligence
Queston: 40 Multiple choice questions
Duration: 60 Minutes
Pre-requisites: None, but accredited training is highly recommended
Open Book: No (no materials can be taken into the examination room)
Pass Mark: 26/40
Course Outline
The Exam covers the given topics -
Topic 1: Understand Ethical and Sustainable Human and Artificial Intelligence (20%)
1.1. Recall the general definition of Human and Artificial Intelligence (AI).
1.2. Describe what are Ethics and Trustworthy AI
1.3. Describe the three fundamental areas of sustainability and the United Nation’s seventeen sustainability goals.
1.4. Describe how AI is part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution’.
1.5. Understand that ML is a significant contribution to the growth of Artificial Intelligence.
Topic 2: Learn Artificial Intelligence and Robotics (20%)
2.1. Demonstrate understanding of the AI intelligent agent description
2.2. Describe what a robot is
2.3. Describe what an intelligent robot is
Topic 3: Understand about Applying the benefits of AI - challenges and risks (15%)
3.1. Describe how sustainability relates to human-centric ethical AI and how our values will drive our use of AI will change humans, society, and organisations.
3.2. Explain the benefits of Artificial Intelligence by.
3.3. Describe the challenges of Artificial Intelligence
3.4. Demonstrate understanding of the risks of AI project
3.5. List opportunities for AI.
3.6. Identify a typical funding source for AI projects and relate to the NASA Technology Readiness Levels (TRLs).
Topic 4: Starting AI how to build a Machine Learning Toolbox - Theory and Practice (30%)
4.1. Describe how we learn from data – functionality, software, and hardware,
4.2. Recall which typical, narrow AI capability is useful in ML and AI agents’ functionality.
Topic 5: Understand the Management, Roles and Responsibilities of humans and machines (15%)
5.1. Demonstrate an understanding that Artificial Intelligence (in particular, Machine Learning) will drive humans and machines to work together.
5.2. List future directions of humans and machines working together.
5.3. Describe a ‘learning from experience’ Agile approach to projects
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