Units
Level 4 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
Level 5 Units:
• Visualisation
• Reinforce Machine Learning
• Natural Language Processing
• Human-AI Interaction
• Advanced Deep Machine Learning
• Introduction to Computer Vision
Learning outcomes
Level 4 Learning Outcomes
• 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.
• Distinguish various impacts of AI on society, economy, and industry.
Level 5 Learning Outcomes
• Demonstrate an in-depth understanding of advanced artificial intelligence concepts, theories, techniques, and principles.
• Apply advanced machine learning algorithms and methods to solve complex real-world problems.
• Design and implement effective AI solutions for practical applications.
• Use advanced data analysis and preprocessing skills.
• Apply advanced data cleaning, transformation, and feature engineering techniques.
• Work with diverse and complex datasets in AI applications.
• Use advanced AI programming languages, libraries, and tools.
• Develop advanced AI solutions using complex algorithms.
• Assess the ethical and legal implications of AI technologies.
• Understand complex ethical challenges and compliance issues in AI development and deployment.
• Evaluate the wider social, economic, and industry impacts of AI.
• Propose innovative AI strategies and applications that can positively support business, society, and industry.
Eligibility & entry requirements
• Students should have completed O/L or an equivalent qualification.
• Students with Level 3 qualifications can apply for the Level 4 stage.
• Students with Level 4 qualifications can apply for the Level 5 stage.
• Students with A/L, foundation, diploma, vocational qualifications, or relevant academic qualifications can apply.
• Students with work experience in government or non-governmental sectors can apply.
• Students working in relevant fields such as IT, software development, data analysis, business analysis, automation, digital technology, education, administration, or technology-related roles can also apply.
• Students working in a relevant field and seeking AI career development are encouraged to apply.
🚀 Your career pathway
Where the Data & AI route can take you — from here to a degree and a career.
Possible career roles
🌍 Opportunities in: Sri Lanka · UK · Middle East
