Why take this course:
Artificial Intelligence (AI) is a methodology for using a non-human system to learn from experience and imitate human intelligent behavior. The BCS Foundation Certificate in Artificial Intelligence tests a candidate’s knowledge and understanding of the terminology and general principles of AI. This syllabus covers 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.
Program Outline:
Ethical and Sustainable Human and Artificial Intelligence
- Recall the general definition of Human and Artificial Intelligence (AI).
- Describe what are Ethics and Trustworthy AI
- Describe the three fundamental areas of sustainability and the United Nation’s seventeen sustainability goals.
- Describe how AI is part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution’.
- Understand that ML is a significant contribution to the growth of Artificial Intelligence.
- Describe ‘learning from experience’ and how it relates to Machine Learning (ML) (Tom Mitchell’s explicit definition).
Artificial Intelligence and Robotics
- Demonstrate understanding of the AI intelligent agent description
- Describe what a robot is
- Describe what an intelligent robot is
- Applying the benefits of AI - challenges and risks
- Describe how sustainability relates to human-centric ethical AI and how our values will drive our use of AI will change humans, society and organizations.
- Explain the benefits of Artificial Intelligence by.
- Describe the challenges of Artificial Intelligence
- Demonstrate understanding of the risks of AI project
- List opportunities for AI.
- Identify a typical funding source for AI projects and relate to the NASA Technology Readiness Levels (TRLs).
Starting AI how to build a Machine Learning Toolbox - Theory and Practice
- Describe how we learn from data – functionality, software and hardware,
- Recall which typical, narrow AI capability is useful in ML and AI agents’ functionality.
- The Management, Roles and Responsibilities of humans and machines
- 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.
- Describe a ‘learning from experience’ Agile approach to projects