INFORMATION TECHNOLOGY PROGRAMS
Level 5 Diploma in Artificial Intelligence
From machine learning to robotics—build solutions that shape tomorrow.
Course Overview
Level 5 Diploma in Artificial Intelligence builds on the foundational AI knowledge gained at Level 4, expanding into more advanced and complex areas of AI technology and application. This program is designed to deepen students' expertise in key areas of AI, preparing them to thrive in the dynamic and rapidly evolving AI industry.
Throughout the course, learners will explore sophisticated topics such as advanced machine learning techniques, natural language processing (NLP), computer vision, reinforcement learning, and AI for robotics. Students will gain hands-on experience with cutting-edge AI technologies and will be trained to solve real-world problems using the most advanced methods in AI development.
In addition to building strong technical capabilities, the Level 5 AI diploma emphasizes the development of critical thinking, problem-solving, and an ethical approach to AI applications. Through project-based learning, students will apply their knowledge to real-world scenarios, helping to advance AI solutions and ensure responsible AI development.
The Level 5 Diploma in AI also offers a pathway for students who wish to pursue further studies in AI or related fields, as well as an opportunity to advance in their professional careers in AI. The diploma prepares students to lead AI-driven innovations across various industries, contributing to the strategic development of AI solutions.
Entry Requirements
To enroll in the Level 5 Diploma in Artificial Intelligence, candidates should meet the following criteria:
Academic Requirements: Hold a Level 4 qualification in Artificial Intelligence or a related field, or possess a qualification that provides a strong foundation in areas such as computer science, data science, or engineering.
Professional Experience: Alternatively, applicants with relevant work experience in the public or private sector, particularly in technology, AI, or research roles, may also be considered. Clear career goals and ambition to advance in the AI field are essential.
Qualification Structure
The Level 5 Diploma in Artificial Intelligence consists of six mandatory units, all of which must be completed to achieve the full qualification.
Mandatory Units:
Visualisation – 20 credits
- Different types of visualization used in the industries
- Communication and design principles for data visualization leading to interactive userexperience design
- Use of popular visualization technology not limited to Tableau, Power BI and other
open-source software tools
- Information architecture and data analysis deriving business insights from visualization
Reinforce Machine Learning – 20 credits
- Basic concepts and principles of reinforcement machine learning
- Commonly used reinforcement learning algorithms, libraries and framework (not
limited to Q-Learning, Deep Q Network, Policy Gradient and Actor-Critic models).
- Policy evaluation techniques and model-based reinforcement learning algorithms
Natural Language Processing – 20 credits
- Basic concepts and principles in linguistics, text preprocessing and cleaning
- Commonly used NLP libraries, frameworks and tools not limited to Python.
- NLP text classification, clustering and word representation techniques
- Techniques for sentiment detection for analyzing and classifying sentiment in text
Human-AI Interaction – 20 credits
- Basic concepts and principles in human-AI interactions with emphasis on userexperience linguistics, cognitive science and human cognition
- Designing the use of multimodal interaction techniques in designing intuitive AI
application
- Basic design of human-AI systems using user-centered interface for AI, explainable AI
techniques, and NLP interaction.
- Elementary concepts in conducting research
Advanced Deep Machine Learning – 20 credits
- Basic theories and concepts covered in deep learning.
- Advance Neural network concepts including Attention Mechanism, Recurrent Neural
Networks and Hyperparameter tuning.
- Transferring learning and fine-tuning models for better performance
- Using deep machine learning models on NLP and RML
Introduction to Computer Vision – 20 credits
- Fundamental in imagine processing, segmentation and object recognition.
- Techniques for feature extraction, image recognition, classification and matching
- Using deep learning models in computer vision
Total Credits: 120
Key Outcomes
By the end of the Level 5 Diploma in Artificial Intelligence, learners will have acquired advanced knowledge and skills across several key areas:
Deep Understanding of Advanced AI Concepts: Graduates will demonstrate a thorough comprehension of complex AI theories, techniques, and principles, expanding their understanding beyond the basics into emerging areas of AI development.
Advanced Machine Learning Proficiency: Students will apply sophisticated machine learning algorithms and methodologies to solve intricate real-world problems, showing proficiency in designing and implementing highly effective AI solutions.
Advanced Data Handling Skills: Graduates will have expertise in advanced data analysis, including data cleaning, transformation, and feature engineering, enabling them to manage and process diverse and complex datasets for AI applications.
Proficiency in Advanced AI Programming: Students will become proficient in advanced AI programming languages and libraries, enhancing their coding expertise to create intricate AI systems and incorporate advanced algorithms into their projects.
Advanced Ethical and Legal Assessment: Learners will gain the ability to conduct in-depth assessments of the ethical and legal implications of AI technologies, navigating complex issues of AI compliance, fairness, and responsibility in development and deployment.
Strategic Impact of AI: Graduates will critically evaluate the broader impacts of AI on society, the economy, and various industries. They will develop strategic skills to propose AI-driven solutions that promote positive change across these domains.
These outcomes reflect the advanced nature of the Level 5 Diploma in AI, preparing students to lead AI projects, navigate ethical challenges, and drive AI innovations that have a meaningful impact on the world.
Duration and Delivery
This qualification is designed to be flexible and accessible to a diverse range of learners. It can typically be completed over one academic year, depending on the mode of study (full-time or part-time) and the learner's pace.
Delivery methods may include:
- Instructor-led classroom sessions
- Online learning modules
- Self-directed study
- Group projects and collaborative tasks
- Practical IT labs and case studies
Assessment and Verification
The course involves a combination of exams, assignments, and project work to assess students' understanding of AI concepts and their ability to apply them practically.
Upon successful completion, learners will be well-prepared to pursue careers in AI, data science, or related fields, or continue their education in advanced AI studies.
Career & Progression Opportunities
Graduates of the Level 5 Diploma in Artificial Intelligence are equipped with advanced technical skills and practical experience, opening the door to a wide range of high-demand roles in the AI and tech sectors. This diploma prepares learners to contribute meaningfully to AI-driven projects and lead innovations across industries.
Career Opportunities:
- AI Developer / Engineer
- Machine Learning Engineer
- Data Scientist
- Natural Language Processing (NLP) Specialist
- Computer Vision Engineer
- Robotics AI Developer
- AI Research Assistant
- Automation Engineer
- AI Product Analyst
- Technical Consultant (AI Solutions)
Industries:
- Technology & Software Development
- Healthcare & Biotechnology
- Finance & Banking
- E-commerce & Retail
- Manufacturing & Automation
- Transportation & Smart Mobility
- Education & EdTech
- Cybersecurity
- Government & Smart Cities
Progression Pathways:
- Progress to the Level 7 Postgraduate Diploma in Data Science or AI
- Pursue a Master’s degree in Artificial Intelligence, Data Science, or related fields
- Specialize further with certifications in Deep Learning, NLP, or AI Ethics
- Transition into leadership roles in AI development teams or research labs
- Launch your own AI startup or consultancy