Level 4 Diploma in Artificial Intelligence

Specifications

1. Qualification title: Qualifi Level 4 Diploma in Artificial Intelligence

2. Qualification type: Vocational Related Qualification

3. Level: 4

4. Accreditation status: Accredited

5. TQT: 1200

6. Guided learning hours: 600

7. Credit Equivalency: 120

8. Qualification number (RQF) 610/3934/2

9. Availability: UK and International

10. Course Length: 6 Months or More

11. Study Mode: Online, Blended, On Campus.

12. Fees: On campus £6,500

Progression routes:  QUALIFI Level 5 Diploma in Artificial Intelligence
• Employment in an associated profession.

Progression FAQ’s: https://qualifi.net/progression-faqs/

Course Overview

The aim of the QUALIFI 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 QUALIFI 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

Awarding Classification/Grading

All unit grading is shown on the qualification transcript.

• Fail – 0-39%

• Pass – 40%-59%

• Merit – 60% – 69%

• Distinction 70%+

Learning Outcomes

1. Demonstrate a fundamental understanding of artificial intelligence concepts, theories, and principles.
2. Apply machine learning algorithms and techniques to solve real-world problems.
3. Analyze and process data for AI applications, including data cleaning, transformation, and feature engineering.
4. Develop basic AI solutions using programming languages such as Python.
5. Evaluate the ethical and legal considerations associated with AI technologies.
6. 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.

List of Universities with Progression Paths

Some of the universities, where previous Qualifi graduates gained entry or have formal progression arrangements include:

1. Anglia Ruskin University
2. University of Central Lancashire
3. University of East London
4. University of Gloucestershire
5. De Montfort University
6. University of Bolton
7. University of Lincoln
8. University of West of Scotland
9. University of Wolverhampton
10. Birmingham City University
11. University of Derby
12. Arden University
13. University of Law
14. Bath Spa University
15. Bangor University
16. Leeds Beckett University
17. University of Bedfordshire
18. BPP University
19. Buckinghamshire New University
20. University of Chichester
21. Cardiff Metropolitan University
22. University of Cumbria
23. Glasgow Caledonian University
24. Northumbria University
25. University of Huddersfield
26. Liverpool John Moores University
27. London South Bank University
28. The Open University
29. Staffordshire University
30. University of New England – Australia
31. Wrexham Glyndwr University
32. University of Suffolk