Diploma in AI

Completion: Level 4

Level 5 Course Overview

This diploma equips learners with advanced knowledge and practical skills in artificial intelligence. Covering core areas like Python programming.

Entry Requirements

  • Completion of a Level 3 Diploma in equivalent qualification.
  • Age: 21 or over before 31st December.
  • GCSE/GCE O Level (Grade A-C).

Credit Value

  • 20 Credits per course.
  • Total: 240 credits.

Duration

1-3 Years

Progression Route

Graduates can advance to Level 6 Diplomas or undergraduate degree programs in AI, Data Science, Computer Science, or related fields. It also supports entry into professional roles in machine learning, software development, or data analytics.

  • 1. Introduction to Artificial Intelligence (AI)
  • 2. Programming with Python
  • 3. Mathematics & Logical Reasoning
  • 4. Computer Vision & Pattern Recognition
  • 5. Machine Learning Fundamentals
  • 6. Introduction to Data Science
  • 7. Advanced Machine Learning
  • 8. Deep Learning And Neural Networks
  • 9. Natural Language Processing (NLP)
  • 10. Robotics
  • 11. Probabilistic Modelling And Reasoning
  • 12. Responsible AI & Ethics

Level 6 Course Overview

This diploma provides advanced expertise in AI, covering deep learning, cloud infrastructure, data engineering, and ethical governance. Learners will gain practical experience in designing and deploying AI projects or leadership roles in the tech industry.

Entry Requirements

  • Completion of a Level 5 Diploma in equivalent qualification.
  • Age: 21 or over before 31st December.
  • GCSE/GCE O Level (Grade A-C).

Credit Value

  • 20 Credits per course.
  • Total: 120 credits.

Duration

1 Years

Progression Route

Graduates can progress to Level 7 Diplomas, Master’s degree programmes in AI, Data Science, or related areas, or pursue roles such as AI Engineer, Data Scientist, or Machine Learning Consultant.

  • 1. Advanced Programming for Data Science
  • 2. Advanced Machine Learning and Deep Learning
  • 3. Cloud Computing and Data Engineering
  • 4. AI Ethics, Law, and Governance
  • 5. AI Project Design and Deployment
  • 6. Research Methods and AI Innovation