Specialist Diploma in Applied Generative Artificial Intelligence
Open for Registration
Specialist Diplomas
Artificial Intelligence
The Specialist Diploma in Applied Generative Artificial Intelligence (SDGAI) course is designed to provide a comprehensive introduction to the principles, techniques, and applications of Artificial Intelligence (AI) and Generative AI.
This course is open for registration. Apply here.

About course
Course objectives
Upon completion of the Specialist Diploma in Applied Generative Artificial Intelligence (SDGAI) programme, graduates will be able to:
Explain the business cases of applied and generative artificial intelligence for different use cases or contexts.
List and describe the various technologies, frameworks, and platforms for applied and generative artificial intelligence.
Differentiate major Machine Learning, Deep Learning and Generative AI models.
Architect or design solutions that apply one or more artificial intelligence concepts and technology using Machine Learning, Deep Learning or Generative AI models.
Build, test, and deploy a complete IT solution that applies artificial intelligence in industry use cases.
Course description
The Specialist Diploma in Applied Generative Artificial Intelligence (SDGAI) course is designed to provide a comprehensive introduction to the principles, techniques, and applications of Artificial Intelligence (AI) and Generative AI.
This course will guide participants through the fundamentals of AI, including machine learning, deep learning, and neural networks, before delving into the innovative realm of generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), Stable Diffusion, and Large Language Models (LLMs). Participants will also gain a deep understanding of the ethical challenges in AI development and learn to develop AI systems with ethical considerations in mind.
By the end of this course, participants will have the knowledge and skills to implement AI solutions and create generative AI models that can produce original content.
Target audience
Who should attend?
This Specialist Diploma is designed for individuals seeking to harness the transformative power of Generative AI. Whether you are a technical professional looking to upgrade your skills or a STEM graduate ready to specialize, this course provides the practical expertise needed to deploy AI solutions in the real world.
IT & Engineering Professionals
Software developers, data analysts, and system engineers who wish to specialize in the high-demand fields of Machine Learning and Deep Learning. If you want to move beyond standard coding to building intelligent systems that can generate content, code, and visual assets, this programme is for you.Aspiring AI Specialists
Individuals aiming to validate their skills with industry-recognized credentials. The curriculum is specifically structured to prepare you for the AWS Certified Machine Learning - Specialty exam and Nvidia Deep Learning Institute certifications, giving you a competitive edge in the job market.Tech-Savvy Career Switchers
Professionals with a background in Science, Engineering, or Math (STEM)—or those with relevant industry experience—who are looking to pivot their careers into the booming Artificial Intelligence sector.Technical Leads & Solution Architects
Senior technical staff who need to understand the architecture, ethics, and deployment of Generative AI models (such as LLMs and GANs) to drive innovation and business value within their organizations.
What is so unique about this programme?
The course is designed to prepare students for industry certifications, specifically equipping them with the necessary skills needed to take the AWS Certified Machine Learning - Speciality exam and the NVIDIA Deep Learning Institute certification.
Company Sponsorship
If you are a company-sponsored course applicant, please seek assistance from your company's course coordinator to log in to STEP using the Corp Pass to generate a corporate application link. Your application would need to be submitted via the link generated. For more information about using the STEP portal, please refer to our step-by-step guide.
Course structure
TPG course reference No.
TGS-2024046683
Specialist Diploma in Applied Generative Artificial Intelligence
Specialist Diploma in Applied Generative Artificial Intelligence
Module name | Module synopsis |
|---|---|
Programming for Artificial Intelligence | This module equips students with the fundamentals of programming using Python. |
Machine Learning Fundamentals | This module covers basic concepts in machine learning and the use of various open-source libraries like scikit-learn, Tensorflow and Keras to build basic machine learning applications with perceptron, K nearest neighbours, neural networks, SVMs, decision trees and unsupervised learning. |
Deep Learning Fundamentals | This module aims to introduce participants to the key topics associated with deep learning. |
Post-Diploma Certificate in Generative Artificial Intelligence
Post-Diploma Certificate in Generative Artificial Intelligence
Module name | Module synopsis |
|---|---|
Developing Ethical AI Systems: Data, Values, and Process | This module offers an introduction to open-source data platforms and frameworks for storing large data volumes. Additionally, this module will cover AI project management methodologies like agile development, resource planning, and risk management tailored for AI projects. |
Vision Models for Generative AI Applications | This module will journey through the world of vision models, making them work for tasks like understanding pictures and creating new, unique images. |
Large Language Models for Generative AI Applications | This module delves into the technicalities of Large Language Models (LLMs), emphasising their application in text-driven AI tasks. |
Entry requirements
Entry Requirements
At least a local Polytechnic Diploma or recognised Degree in science, engineering, information technology, or any other discipline with at least three (3) years of relevant work experience.
Recognition of prior learning: Applicants who do not meet the entry requirements may be considered for admission to the course based on evidence of at least 5 years of relevant working experience or supporting evidence of competency readiness. Suitable applicants who are shortlisted may have to go through an interview and/or an entrance test.
Conditional Offer
Graduating students (in their final semester) from a local polytechnic may apply for the programme.
Visit the Course Application page for full details on the application process. for more information on how to apply for the programme and receive a Conditional Offer.
The polytechnic reserves the right to shortlist and admit applicants.
Course schedule
Course schedule information
Commencement Date | Duration | Mode and Venue | Schedule | Application Start and End Date |
|---|---|---|---|---|
Oct and Apr | 1 year | Online Learning & Face-to-face lessons at Republic Polytechnic | 2 x weekdays evening: 6:30 pm - 9:30 pm | For Oct intake: |
Note: RP reserves the right to reschedule/cancel any programme and amend information without prior notice.
Refer to the Academic Calendar on the Republic Polytechnic website or key dates and important information to help you plan your learning journey.
How to apply?
Click the Apply button to submit your application. You will receive a confirmation once it has been successfully submitted.
If you are unable to attend the current course dates, click Register Interest button to be notified of future intakes.
If the Apply button is not visible, it means applications are currently closed. You can still click Register Interest button to leave your details, and we’ll notify you when the next application window opens.
Company Sponsorship
If your company is sponsoring your course:
Ask your company’s course coordinator to log in to the STEP portal with Corp Pass and create a corporate application link for you.
Use this link to submit your application.
Need help? Check out our step-by-step guide for instructions on using the STEP portal.
Need more information?
Visit the Course Application page for full details on the application process.
