An Ofqual Recognised Awarding Organisation



Qualification title:

Qualifi Level 5 Diploma in Artificial Intelligence

Qualification type:

Vocational Related Qualification (Higher Education)



Accreditation status:


Credit Equivalency:


Qualification number (RQF):


Progression routes:

• A Level 6 qualification in relevant area
• Employment in an associated profession


UK and international

Centre Specification:

CASS Strategy:

Course Overview

The Level 5 Diploma in Artificial Intelligence (AI) builds upon the foundational knowledge and skills acquired in the Level 4 AI diploma, providing students with a deeper and more advanced understanding of AI technologies and applications. This program is designed to empower students with the expertise required to excel in the rapidly evolving field of AI.

The Level 5 diploma extends the scope of AI education by delving into complex topics such as advanced machine learning techniques, natural language processing, computer vision, reinforcement learning, and AI for robotics. Students will explore cutting-edge AI emerging technologies, staying at the forefront of innovation in the field. In addition to technical knowledge, this diploma emphasizes critical thinking, problem-solving, and the ethical dimensions of AI. Students will engage in hands-on projects, applying their AI expertise to address real-world challenges and contribute to the advancement of AI solutions.

The Level 5 AI diploma prepares graduates for a pathway for those seeking to pursue advanced studies in AI or related fields. Assessment methods include advanced projects, use-cases, and presentations, ensuring that students not only grasp advanced AI concepts but can also communicate and apply them effectively.

By completing the Level 5 Diploma in AI, students will be equipped with the knowledge, skills, and ethical awareness necessary to be competent professionals in AI technology. This program provides a robust foundation for successful careers and continued academic pursuits in the exciting and dynamic field of Artificial Intelligence.


  • Visualisation
  • Reinforce Machine Learning
  • Natural Language Processing
  • Human-AI Interaction
  • Advanced Deep Machine Learning
  • Introduction to Computer Vision

Learning Outcomes

  1. Deep Understanding of Advanced AI Concepts: Graduates will demonstrate an in-depth
    comprehension of advanced artificial intelligence concepts, extending their knowledge beyond the fundamentals to encompass cutting-edge theories, techniques, and principles in AI development.
  2. Advanced Machine Learning Proficiency: Students will apply advanced machine learning algorithms and methodologies to tackle complex, multifaceted real-world problems, showcasing their ability to design and implement highly effective AI solutions.
  3. Advanced Data Handling Skills: Graduates will possess advanced data analysis and preprocessing skills, including advanced data cleaning, transformation, and feature engineering techniques, enabling them to work with diverse and complex datasets in AI applications.
  4. Proficiency in Advanced AI Programming: Students will master advanced AI programming languages and libraries, expanding their coding expertise to develop intricate AI solutions and incorporate advanced algorithms effectively.
  5. Advanced Ethical and Legal Assessment: Graduates will conduct in-depth assessments of the ethical and legal implications of AI technologies, with the ability to navigate complex ethical dilemmas and compliance issues in AI development and deployment.
  6. Proficient in strategic impact of AI: Students will critically evaluate the broader societal, economic, and industry impacts of AI, and they will develop the strategic acumen to propose innovative AI strategies and applications that positively influence these domains.

Entry Requirements

  • learners who possess qualifications at Level 4 and/or;
  • learners who have work experience in the governmental and non-governmental sector and demonstrate ambition with clear career goals.

Find out more about this course