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FC-AI Exam Topics and Domains
FC-AI is organized into 6 weighted domains.
An Introduction to AI and Historical Development
Key Definitions of Artificial Intelligence Terms
Identify the key definitions of key artificial intelligence terms
Key Milestones in the Development of AI
Describe key milestones in the development of artificial intelligence
Different Types of AI
Describe different types of AI and provide real-world examples
Impact of AI on Society
Explain the impact of AI on society across ethical, social, economic, and environmental dimensions
Sustainability Measures to Reduce Environmental Impact of AI
Describe sustainability measures to help reduce the environmental impact of AI
Ethical and Legal Considerations
Ethical Concerns Including Bias and Privacy in AI
Describe ethical concerns, including bias and privacy, in AI
Guiding Principles in Ethical AI Development
Describe the importance of guiding principles in ethical AI development
Strategies for Addressing Ethical Challenges in AI Projects
Explain strategies for addressing ethical challenges in AI projects
The Role of Regulation in AI
Explain the role of regulation in AI
The Process of Risk Management in AI
Explain the process of risk management in AI
Enablers of Artificial Intelligence
Common Examples of AI
List common examples of AI in everyday life
The Role of Robotics in AI
Describe the role of robotics in AI
Machine Learning
Describe machine learning and its relationship to AI
Common Machine Learning Concepts
Identify common machine learning concepts
Supervised and Unsupervised Learning
Describe supervised, unsupervised, and semi-supervised learning
Finding and Using Data in Artificial Intelligence
Key Data Terms
Describe key data terms
Data Quality Characteristics and Their Importance in AI
Describe the characteristics of data quality and why it is important in AI
Risks Associated with Handling Data in AI and How to Minimise Them
Explain the risks associated with handling data in AI and how to minimise them
Purpose and Use of Big Data
Describe the purpose and use of big data
Data Visualisation Techniques and Tools
Explain data visualisation techniques and tools
Key Generative AI Terms
Describe key generative AI terms
Purpose and Use of Generative AI Including LLMs
Describe the purpose and use of generative AI including large language models
How Data is Used to Train AI in the Machine Learning Process
Describe how data is used to train AI in the Machine Learning process
How Organisations Use AI
Identifying Opportunities to Use AI
Identify opportunities to use AI for automation, repetitive tasks, and content creation
Developing and Structuring an AI Business Case
Explain how to develop and structure an AI business case
Stakeholder Identification and Categorisation
Explain how to identify and categorise stakeholders for relevant AI projects
Risks, Costs, and Benefits When Implementing AI
Explain how to identify the risks, costs and benefits when implementing an AI project or solution
Project Management Approaches for AI
Describe different project management approaches for AI implementation
Ongoing AI Governance Activities
Describe ongoing AI governance activities related to compliance, risk management, and the AI lifecycle
Future Planning and Impact
AI Roles and Career Paths
Describe AI roles and career paths
AI Literacy and Skills Development
Recognise the importance of implementing an employee-wide AI skills development and literacy programme
Real-World AI Applications
Describe real-world AI applications
Consciousness and Its Impact on Ethical AI
Consider consciousness and its impact on ethical AI
How do I earn this certification?
Passing FC-AI earns the BCS Foundation Certificate in Artificial Intelligence certification. It sits in the Artificial Intelligence track.
- FD-AI - BCS Foundation Diploma in Artificial Intelligence
- FC-EBAI - BCS Foundation Certificate in the Ethical Build of AI
- EC-AI - BCS Essentials Certificate in Artificial IntelligenceLighter introduction for those new to AI; suitable for team members needing basic AI awareness
- FC-DP - BCS Foundation Certificate in Data ProtectionComplementary certification for professionals combining AI governance with data protection responsibilities
- CISMP - BCS Certificate in Information Security Management PrinciplesComplementary security knowledge for AI professionals handling sensitive data
Practice with Precision
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How to study for this exam?
The most effective way to prepare for FC-AI is by using the PlanetCert Simulator to practice questions and review detailed explanations.
What's changed on this exam?
- ACTIVE
- Last content update: 2024-09-01
- Generative AI and Large Language Models Syllabus v2.0 New coverage in Domain 4 (topics 4.6, 4.7) covering generative AI definitions, LLM mechanics, prompt engineering, NLP, and image generation • Release date: 2024-09-01
- EU AI Act (2024) First inclusion New examinable content in Domain 1 (topic 1.4.f) covering the EU AI Act as part of AI's impact on society • Release date: 2024-09-01
- AI Consciousness and Ethics Syllabus v2.0 New Domain 6 topic (6.4) covering human consciousness, AI consciousness, and ethical challenges of artificial consciousness • Release date: 2024-09-01
- AI Governance and Lifecycle Management Syllabus v2.0 New Domain 5 topic (5.6) covering ongoing compliance, risk management, and AI lifecycle governance • Release date: 2024-09-01
Who should take this exam?
This exam is typically taken by Engineers and scientists and Organisational change practitioners.
- BCS Essentials Certificate in Artificial Intelligence
- A BCS Award from the Artificial Intelligence Foundation Pathway
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