Introduction to Artificial Intelligence

Upon successful completion of this program, the student will have reliably demonstrated the ability to:

• Comprehend key AI concepts such as machine learning, neural networks, and natural language processing, and apply these principles to analyse and solve real-world problems across various industries.
• Identify real-world problems that can be addressed using AI techniques, critically evaluate the suitability of different AI methods, and design AI-driven solutions based on specific problem characteristics.
• Implement AI algorithms using Python and relevant libraries, such as TensorFlow, PyTorch, and Scikit-learn, to develop practical applications, while analysing and optimising the performance of these implementations.
• Evaluate ethical considerations in AI, including bias, fairness, and transparency, and create AI solutions that incorporate responsible AI principles to ensure ethical and fair outcomes.
• Apply AI techniques such as image recognition and natural language processing to real-world use cases, designing, building, and evaluating AI-driven applications and projects that demonstrate comprehensive AI knowledge and skills.

Career Occupation

Based on the NOC (National Occupation Classification) Version 2016 1.3 

Unit Group 2173 – Software engineers and designers

Career options* available but not limited to:

• Junior Data Entry Specialist
• Machine Learning Intern
• AI Support Intern
• Data Annotation Assistant
• Entry-Level Software Tester
• AI Documentation Assistant
• Junior Data Analyst

Admission Requirements

Basic Admission Requirements 

• High School Completion: Applicants must have a high school diploma or an equivalent qualification.
• Age Requirement: Minimum 19 years of age. 
• Mature Student Status*: Applicants who have not completed high school and are at least 19 years of age, may apply as a mature student. 

*Mature student status may be granted to applicants who are over 19 years old and have not completed high school or equivalent. The applicants will be considered for admission based on the skills and experience they have acquired since leaving school. The applicant is required to provide the most recent transcripts or proof of academic accomplishments, a resume or summary of professional accomplishments, and two letters of recommendation from both their current and previous employers. The applicant may be interviewed by the Registrar’s or Academic office to further assess their suitability for admission to the program of study

Completion Requirements

To successfully complete the program, a student must:

• Pass  courses with a minimum passing grade of 70% (C).

Minimum Technology Requirements

• Domain and Hosting
• Student Edition Adobe Creative Suite
• Personal Notebook Computer or MacBook, with following specifications: 
• Processor Chip: Intel Core i7 or i9
• Speed: 3.9 GHz or higher
• Example: Intel Core i7-7820HQ, 4-core 3.9 GHz
• RAM: 8 GB or higher (Note: Windows 10 requires 4 GB minimum)
• Graphics Card: NVIDIA GeForce GTX 1080 with 4 GB of dedicated RAM (recommended: NVIDIA GeForce GTX 1080 Ti)

Graphics card must have dedicated RAM separate from the computer’s main RAM

Fee Details

INTAKES
Start dates:
7 September 2026 | 5 October 2026 | 2 November 2026 | 30 November 2026 | 11 January 2027 | 8 February 2027 | 8 March 2027 | 12 April 2027 | 10 May 2027 | 7 June 2027 | 5 July 2027 | 9 August 2027