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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.
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Prepared 31 July 2026. Fees and programme details are correct on this date; please confirm before enrolling.