Specialist Diploma in Applied Generative AI (SDGAI)

Offered by School of InfoComm Technology

Post-Diploma / 1 year / TGS-2023038926

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Course Information
Learning Outcomes
Course Schedule
Lesson Plan
Entry Requirements
Course Fees

Course Information

The Specialist Diploma in Applied Generative AI (SDGAI) programme empowers learners with a specialized skill set that includes data visualization, compelling storytelling, and advanced proficiency in Deep Learning and Generative AI. Throughout this programme, you will discover how to harness the power of Deep Learning to dissect diverse data types, ranging from sentiment analysis for textual content to object recognition in images. Additionally, you will cultivate expertise in Generative AI techniques, enabling them to create fresh data from existing datasets.

Join us on this exciting journey as we delve into the world of Applied Generative AI and equip you with the tools to unlock new possibilities in data analysis and AI-driven creativity. Explore the course details below to get started!

Learning Outcomes

By the end of the programme, you will emerge with a comprehensive skill set that empowers you to excel in the dynamic field of AI and data analysis. Our programme is designed to equip you with the skills including:

Master Deep Learning Techniques: Gain proficiency in advanced Deep Learning concepts, enabling you to analyze and interpret various data types, including text and images.

Expertise in Data Visualization: Acquire the skills to create informative and visually compelling data representations, making complex insights more accessible.

Discover Storytelling: Learn to craft compelling narratives from data, enabling you to effectively communicate your findings to diverse audiences.

Generative AI Proficiency: Develop the capability to generate new data from existing datasets, enhancing your creativity and innovation in AI applications.

Stay Ahead in AI: Stay up-to-date with the latest advancements in the field, ensuring you remain at the forefront of Applied Generative AI.

Join us on this transformative journey and unlock your potential to excel in the world of data science and AI.


Course Date: 14 Oct 2024
Application Period: 1 Jun 2024 – 31 Jul 2024
Duration: 1 year over 2 semesters
Time: 6.30pm – 10.30pm
Delivery Mode: Classroom, Synchronous eLearning
Venue: Ngee Ann Polytechnic / Online

Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.

Lesson Plan

Post-Diploma Certificate in Programming for Analytics and Data Visualisation (TGS-2023038927)
Programming for Analytics (TGS-2023038929)
The aim of this module is to equip learners with sufficient mastery of a programming language to perform operations and analysis. This module is suitable for learners with little or no programming background. The programming language taught is Python, which is fast becoming the world's most popular coding language due to its simplicity and flexibility. Its popularity also stems largely due to its wide range of application in areas such as machine learning, network automation, and internet of things. The module emphasizes the syntactical and algorithmic aspects of programming, enabling participants to progressively advance from basic to complex Python coding.
Data Visualisation and Story Telling (TGS-2023038928)
This module discusses the principles and techniques for creating effective visualisations based on graphic design an perceptual psychology. Using widely adopted tools, learners will apply these principles and techniques to create rich visualisations for analysis and presentation. Learners will learn visual analysis techniques to grasp pertinent information, as well as apply exploratory techniques to further derive key insights. Data storytelling and information graphics best practices will also be explored to allow learners to present data effectively and eloquently.
Post-Diploma Certificate in Deep Learning and Applied Generative AI (TGS-2023038930)
Deep Learning for Natural Language Processing (TGS-2023038931)
This module covers the basics of Deep Learning (DL) techniques that are specifically designed for processing and analysing textual data, as well as its various applications. Learners will gain a fundamental understanding of Deep Learning, a subset of Machine Learning, and explore popular Deep Learning models such as Neural Networks, Natural Language Processing (NLP), and Recurrent Neural Networks (RNN). Through hands-on experience, learners will have opportunities to apply these models in natural-language processing. They will also implement and train the Deep Learning models by coding with associated libraries. The course aims to provide learners with the necessary context and background knowledge of DL to succeed in this field.
Deep Learning for Image Recognition (TGS-2023038934)
This module introduces the basic principles of Deep Learning (DL) techniques that are specifically designed for handling and analysing visual data, such as images and videos. Learners will gain a fundamental understanding of Deep Learning, a subset of Machine Learning, and explore Deep Learning models like Neural Networks and Convolutional Neural Networks (CNN). They will have opportunities to apply these models practically in visual data processing. Through the experiential learning approach, learners will have hands-on experience implementing and training Deep Learning models by coding with associated libraries.
Visual Generative AI Application (TGS-2023038933)
In this module, the basics of visual generative models for creating images and their various applications will be introduced. Learners will get a chance to explore Generative AI models, including popular ones like Generative Adversarial Networks (GANs), which help in generating images and videos. This module will provide learners with opportunities to create simple application with these models in image processing. Through the experiential learning approach, learners will implement the Generative AI models by coding with related libraries. Additionally, learners will be introduced to Prompt Engineering and AI Ethics.
LLM Applications (TGS-2023038932)
This module introduces the fundamentals of sequential generative models to create or generate new text content. Learners will explore Generative AI models such as Large Language Model (LLM), LangChain, Generative Pre-Training (GPT) and more that are commonly used to understand and generate text. There will be opportunities for learners to experience the practical applications of these models in text processing. Adopting an experiential learning approach, learners will implement the Generative AI models by coding with associated libraries.


1 Specialist Diploma
2 Post-Diploma Certificates
6 Modules


You are required to complete 2 post-diploma certificates within 2-year validity period to be awarded the Specialist Diploma qualification.

Entry Requirements

Applicants with any of the following qualifications are invited to apply for the course:

A recognized local Polytechnic Diploma or Degree in any discipline, or at least one (1) year of relevant work experience.

Graduates from Ngee Ann Polytechnics’s Specialist Diploma for Data Analytics (SDDA), Advanced Diploma in Machine Learning (ADML) or Specialist Diploma in Robotics Engineering (SDRE) are eligible for module exemptions as listed below:

Graduated Course / Module Passed Exempted Module in SDGAI
SDDA / Programming for Analytics Programming for Analytics
SDDA / Data Visualisation & Story Telling Data Visualisation & Story Telling
ADML / Deep Learning
  1. Deep Learning for Image Recognition
  2. Deep Learning for Natural Language Processing
SDRE / Robotics with Python Programming for Analytics
SDRE / Computer Vision and Deep Learning for Robotics Deep Learning for Image Recognition


Exemption from the Data Visualisation & Story Telling module will be granted to learners who have achieved qualifying passes in the Challenge Examination (CEX).

Notebook requirement
Learners need to have your own Windows-based notebooks with the following minimum specifications:

Processor: Intel Core i5 (11 Gen) or equivalent (Intel i7 recommended)
RAM: 16 GB (32 GB recommended)
Storage Device: 512 GB (1TB recommended)
Optical Device: DVD-ROM (optional)
Display: 1280 x 720 display resolution, HDMI port with an adapter to VGA, Dedicated graphics with 4GB graphics, Recommended to have GPU of NVIDIA GeForce GTX 1660 Ti onwards

Communication: Integrated or external IEEE 802.11b or equivalent
Operating System: Windows 10


Course Fees

Funding period for this course is from 15 November 2023 to 14 November 2026.

SkillsFuture Credit
All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses. Visit the SkillsFuture Credit website to choose from the courses available on the Training Exchange course directory. The credits can be used on top of existing course fee subsidies/funding. This is only applicable for self-sponsored applicants and must be applied via the SkillsFuture Portal. More details on the SkillsFuture Credit Claims will be advised upon admission into the course.

Union Training Assistance Programme (UTAP)
NTUC members enjoy 50% unfunded course fee support for up to $250 each year (or up to $500 for NTUC members aged 40 years old and above) when you sign up for courses supported under UTAP (Union Training Assistance Programme). Please visit e2i’s website to find out more.

Skills-Based Modular Courses (SBMCs) are bite-sized part-time courses for individuals to acquire new skills or deepen relevant skills, without the need to pursue a full diploma. Refer here for course fees for SBMCs.

GST Increment in 2024
Please note that the GST rate will be revised to 9% with effect from 1 Jan 2024, as such any payable course fees will be subjected to the new GST rate adjustments in 2024. Please refer to our STEP portal for the updated fees. (Click on STEP)


  • Please refer to our FAQs for more information.
  • The fees below are determined based on prevailing funding policies and subject to review and revision.

Ngee Ann Polytechnic reserves the right to reschedule/cancel any programme, modify the fees and amend information without prior notice.

Applicants / Eligibility Fees
Full Course fee$8027.85
PR Sponsored by SME$835.93
Singapore Citizen Sponsored by SME$835.93
Singapore Citizen Aged 40 & Above$835.93
Singapore Citizen Aged Below 40$1204.18
Singapore PR$3211.14
Long-Term Visit Pass Plus$8027.85