Artificial Intelligence Fundamentals
Develop a clear understanding of artificial intelligence, intelligent systems, machine learning concepts, data and the responsible use of AI technologies.
About This Course
The Artificial Intelligence Fundamentals course introduces the concepts, technologies and applications that form the foundation of modern artificial intelligence. Students will explore how intelligent systems work, how data supports AI, and how machine learning contributes to modern digital solutions.
The course also examines practical applications of artificial intelligence and the importance of responsible, ethical and secure use of AI technologies. It provides a foundation for learners who wish to continue into advanced artificial intelligence, machine learning or related technology programmes.
Course Information
What You Will Learn
Course Modules
The course consists of six modules that progressively introduce the foundations, applications and responsible use of artificial intelligence.
1. Introduction to Artificial Intelligence
This module introduces artificial intelligence and explains how intelligent systems are designed to perform tasks that normally require human intelligence. Students will explore the history, concepts, characteristics and major applications of AI.
2. Data and Intelligent Systems
This module examines the relationship between data and artificial intelligence. Students will explore data collection, preparation, data quality, patterns and the importance of appropriate data when developing intelligent systems.
3. Machine Learning Fundamentals
This module introduces machine learning as an important area of artificial intelligence. Students will explore supervised and unsupervised learning, training data, models, predictions and basic evaluation concepts.
4. AI Applications and Technologies
This module explores practical applications of artificial intelligence, including natural language processing, computer vision, recommendation systems, automation and intelligent digital services.
5. AI Ethics, Security and Responsible Use
This module examines ethical and security considerations associated with artificial intelligence. Students will explore privacy, fairness, bias, transparency, accountability, data protection and responsible AI practices.
6. AI Projects and Emerging Technologies
This module brings together the knowledge developed throughout the course. Students will explore practical AI solutions, project considerations, emerging technologies and the future impact of artificial intelligence.
Learning Outcomes
- Explain fundamental concepts and principles of artificial intelligence.
- Describe how data supports intelligent systems and AI applications.
- Explain fundamental machine learning concepts and approaches.
- Identify common applications of artificial intelligence.
- Describe the role of technologies such as natural language processing and computer vision.
- Recognise ethical, privacy, security and responsible-use considerations in AI.
- Evaluate basic AI applications and their potential impact.
- Apply fundamental AI knowledge to practical technology scenarios.
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