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Qualifi Level 4 Diploma in Artificial Intelligence
Foundational knowledge and skills in artificial intelligence — equivalent to Year 1 of a degree.
Awarded byQualifi
Duration6 months
About this programme
The Qualifi Level 4 Diploma in Artificial Intelligence is designed for students who want to start a career in the fast-growing field of AI, machine learning, data science, and modern technology. This programme gives learners an entry-level understanding of artificial intelligence concepts, practical applications, Python programming, big data, deep learning, and AI ethics. Students will learn how AI is used to solve real-world problems and how it is changing business, society, and industry. The qualification is suitable for students who want to continue higher studies in AI or begin a career in AI development, data science, machine learning, or related technology fields. The qualification is Level 4, carries 120 credits, and supports progression to Level 5 AI study or related employment.
Units
• Introduction to Artificial Intelligence and Applications
• Mathematical Foundations for Machine Learning
• Data Science Using Python
• Big Data Management
• Introduction to Deep Learning
• Artificial Intelligence Ethics
What you will learn
• Demonstrate a fundamental understanding of artificial intelligence concepts, theories, and principles.
• Apply machine learning algorithms and techniques to solve real-world problems.
• Analyse and process data for AI applications, including data cleaning, transformation, and feature engineering.
• Develop basic AI solutions using programming languages such as Python.
• Evaluate the ethical and legal considerations associated with AI technologies.
• Understand the impact of AI on society, economy, and industry.
Entry requirements
• Students should have completed O/L or an equivalent qualification.
• Students with a Level 3 qualification, foundation programme, diploma, or vocational qualification can apply.
• Students with basic knowledge of IT, computers, programming, mathematics, or data will have an advantage.
• Students working in a relevant field, including IT, data, business, government, NGO, or technology-related roles, can also apply.
• Students should have ambition and clear career goals in AI, data science, machine learning, or technology.
Prepared 31 July 2026.
Fees and programme details are correct on this date; please confirm before enrolling.