BCS Foundation Certificate in Artificial Intelligence
Course 1298
3 DAY COURSE

Artificial Intelligence (AI) has recently surged in popularity, becoming part of everyday thinking, transforming industries, and reshaping the future of technology. It revolutionizes how systems learn from experience and mimic human intelligence.

The BCS Foundation Certificate in Artificial Intelligence equips candidates with knowledge of key AI techniques, their use in the real world and their impact on our lives.

This course explores the historical journey of AI, the advantages and challenges of ethical and sustainable AI, the key enablers of AI including data and the future interplay between AI and human roles in the workplace.

BCS Foundation Certificate in Artificial Intelligence Benefits

• Course Benefits:

  • The meaning of AI includes 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.

• Training Prerequisites

  Recommended to have basic IT literacy and awareness of business processes.

• Certification Exam Information

  The BCS Foundation Certificate in Artificial Intelligence is a foundation-level certification focused on core AI concepts, technologies, and applications intended for professionals getting started in AI.

  Duration: 60-minute, closed-book exam
  Number of Questions: 40 multiple-choice questions
  Passing Score: Answer 26 out of 40 questions (achieve 65% or above)

Artificial Intelligence Certification Training Outline

LeA

1. An Introduction to AI and Historical Development

1.1 Identify the key definitions of key artificial intelligence terms.

1.2 Describe key milestones in the development of artificial intelligence

1.3 Describe different types of AI.

1.4 Explain the impact of AI on society. 

1.5 Describe sustainability to help reduce the environmental impact on AI.   

2. Ethical and Legal Considerations  

2.1 Describe ethical concerns, including bias and privacy, in AI.

2.2 Describe the importance of guiding principles in ethical AI development.

2.3 Explain strategies for addressing ethical challenges in AI projects.

2.4 Explain the role of regulation in AI.  

2.5 Explain the process of risk management in AI. 

3. Enablers of Artificial Intelligence   

3.1 List common examples of AI 

3.2 Describe the role of robotics in AI.  

3.3 Describe machine learning.   

3.4 Identify common machine learning concepts.

3.5 Describe supervised and unsupervised learning.

4. Enablers of Artificial Intelligence

4.1 Describe key data terms.

4.2 Describe the characteristics of data quality and why it is important in AI.

4.3 Explain the risks associated with handling data in AI and how to minimize them.

4.4 Describe the purpose and use of big data.

4.5 Explain data visualization techniques and tools.

4.6 Describe key generative AI terms.

4.7 Describe the purpose and use of generative AI including large language models.

4.8 Describe how data is used to train AI in the Machine Learning process.

5. Using AI in your Organization

5.1 Identify opportunities for AI in your organization.

5.2 List the contents and structure of a business case

5.3 Identify and categorize stakeholders relevant to an AI project.

5.4 Describe project management approaches.

5.5 Identify the risks, costs and benefits associated with a proposed solution.

5.6 Describe the ongoing governance activities required when implementing AI.

6. Future Planning and Impact – Human Plus Machine

6.1 Describe the roles and career opportunities presented by AI.

6.2 Identify AI uses in the real world.

6.3 Explain AI’s impact on society, and the future of AI.

6.4 Describe consciousness and its impact on ethical AI.