QUALIFI LEVEL 4 DIPLOMA IN ARTIFICIAL INTELLIGENCE
Specifications
| Qualification title: | Level 4 Diploma in Artificial Intelligence |
| Qualification type: | Vocational Related Qualification (Higher Education) |
| Level: | 4 |
| Accreditation status: | Accredited |
| Credit Equivalency: | 120 |
| Qualification number (RQF): | 610/3934/2 |
| Progression routes: | • Level 5 Diploma in Artificial Intelligence • Employment in an associated profession. |
| Availability: | UK and international |
| Centre Specification: | Click here to download |
| CASS Strategy: | Click here to download |
Qualification Overview
The aim of the Level 4 Diploma in Artificial Intelligence is to to equip students with understanding of AI concepts and applications at an entry level. The diploma covers a range of topics, including the history and principles of AI, machine learning, data science, deep learning, AI ethics, and practical AI applications. Students will gain hands-on experience with popular AI tools and develop programming skills in languages like Python.
The Diploma emphasises ethical considerations and responsible AI development. It typically includes project work to apply AI knowledge to real-world challenges and prepares students for careers in AI development, data science, machine learning engineering, or further academic pursuits in the field. Assessment methods include exams, assignments, and project evaluations to ensure an understanding of AI principles and their practical application.
Successful completion of the Level 4 Diploma in Artificial Intelligence provides learners with the opportunity to progress to further study or 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
Learning Outcomes
- Demonstrate a fundamental understanding of artificial intelligence concepts, theories, and principles.
- Apply machine learning algorithms and techniques to solve real-world problems.
- Analyze 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.
Entry Requirements
- learners who possess qualifications at Level 3 and/or;
- learners who have work experience in the governmental and non-governmental sector and demonstrate ambition with clear career goals.