BCS FOUNDATION CERTIFICATE IN ARTIFICIAL INTELLIGENCE

What You’ll Learn 

• The meaning of AI, including its history and key principles. 

• The legal, ethical, and regulatory considerations when using AI. 

• How humans can use AI to support business activities. 

• How to identify opportunities for AI and implement them. 

• The impact of AI on the future of society and business. 

Course Requirement 

This test does not have entry criteria, but obtaining the BCS Essentials Certificate in Artificial Intelligence or a BCS Award from the Artificial Intelligence Pathway is recommended. 

Course Features 

• 18 hours of study time 

• 1-hour assessment examination 

• Physical classes 

• BCS Study materials. 

Examination Format 

60 minutes of supervised examination, with 40 multiple-choice questions. 

The pass mark is 65% (26/40) 

Course Syllabus 

1. Introduction to AI and Historical Development  

• • • Definition of Key AI terms 
    • Key milestones in the development of artificial intelligence. 
    • Types of AI. 
    • The impact of AI on society. 
    • Sustainability measures to help reduce the environmental impact of AI. 

2. Ethical and Legal Considerations 

• • • ethical concerns, including bias and privacy, in AI. 
    • the importance of guiding principles in ethical AI development. 
    • strategies for addressing ethical challenges in AI projects 
    • the role of regulation in AI. 
    • the process of risk management in AI. 

3. Enablers of Artificial Intelligence 

• • • Common examples of AI. 
    • the role of robotics in AI 
    • Machine Learning 
    • Common machine learning concepts 
    • Supervised and unsupervised learning 

4. Finding and Using Data in Artificial Intelligence. 

• • • kTy data terms. 
    • Characteristics of data quality and why it is important in AI. 
    • Risks associated with handling data in AI and how to minimise them 
    • The purpose and use of big data. 
    • Data visualisation techniques and tools. 
    • Key generative AI terms 
    • The purpose and use of generative AI including large language models 
    • How data is used to train AI in the Machine Learning process 

5. Using AI in Your Organisation 

• • • Opportunities for AI in your organisation. 
    • The contents and structure of a business case  
    • Stakeholders relevant to an AI project  
    • Project management approaches  
    • The risks, costs and benefits associated with a proposed solution  
    • The ongoing governance activities required when implementing AI 

6. Future planning and Impact-Human Plus Machine 

• • • Describe the roles and career opportunities presented by AI 
    • Identify AI uses in the real world 
    • Explain AI’s impact on society and the future of AI 
    • Describe consciousness and its impact on ethical AI