Diploma in Artificial Intelligence



The use of computers on a regular basis in our lives has become imperative. We have become dependent on ICT to make decisions. By gathering all information onto a digital platform, we are able to store, access, manipulate, calculate and analyze data and information.

The Diploma in Artificial Intelligence ensures students are equipped with the skills to engage confidently with these opportunities and challenges. Fundamental to this is the understanding of computer systems and the broader computing field.

Upon successful completion of this course, the student should be able to:
| Understand and explain Artificial Intelligence principles and practices, and its applications in different business domains.
| Perform data gathering, extraction, transformation, visualization, training and testing for building machine learning models.
| Develop, test and deploy Artificial Intelligence solutions using machine learning and deep learning algorithms, Artificial Intelligence services APIs, software frameworks and tools, in different problem domains.
| Analyse, tune and optimize the data set, machine learning and deep learning models for performance improvements.

Career Path
| Machine Learning
| Data Scientist
| Research and development
| Business Intelligence
| Big data officer
| Creator of chatbots, image classifiers and smart games
| Speech and Image recognition expert

Aims and Objectives:
| To provide an educational foundation for a career in Artificial Intelligence.
| Understand the principles associated with Artificial Intelligence applications.
| Learn Classification Algorithms, Deep Learning, NLP, Reinforcement Learning and Graphical Models.
| Create intelligent solutions such as Chatbots, Smart Games and Image Classifiers.
| Participate in hackathons and develop a portfolio of industry projects.

Assessment Methods
Modules will be delivered through a mix of lectures, tutorials and guest lectures. Assessment methods include practical and written examination, project, report, presentation and case studies.

Course Structure

Year 1 Semester 1 MODULES
1 Fundamentals of Artificial Intelligence
2 Mathematics of Computing
3 Programming with Python 1
Year 1 Semester 2 MODULES
1 Fundamentals of Statistics
2 Machine Learning
3 Programming with Python 2
4 Production Project
Year 2 Semester 1 MODULES
1 Natural Language for Artificial Intelligence
2 Image and Speech Recognition
3 Intelligent System
4 Production Project
Year 2 Semester 2 MODULES
1 Artificial Intelligence in the Industry
2 Data Security and Governance
3 Ethics and Legal Issues in Artificial Intelligence
4 Production Project

Duration of Study: 2 years

Study Mode: Full Time / Part Time

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