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[NP-SGAI-C2] Post Diploma Certificate in Deep Learning and Applied Generative AI - Part of Specialist Diploma in Applied Generative Artificial Intelligence (SDGAI)

Offered by School of InfoComm Technology

Specialist Diploma

Course Schedule
About Course
Course Structure
Entry Requirements
Financial Matters
Register Interest
Area of interest
Artificial Intelligence, Technology

Course Schedule

Classes Day (s): Every Mon & Thu
Time: 6pm to 10.30pm
Mode of training: Classroom, Synchronous eLearning

2.Post-Diploma Certificate in Deep Learning and Applied Generative AI
Classes Day (s): Every Mon & Thu (Apr26 to Oct26)
Time: 6pm to 10.30pm
Mode of training: Classroom, Synchronous eLearning

Click here to view course schedule for January 2026 intake.

About Course

Course Objectives

This Post Diploma Certificate (PDC) in Deep Learning and Applied Generative AI comprises 4 modules
1. Deep Learning for Natural Language Processing
2. Deep Learning for Image Recognition
3. Visual Generative AI Application
4. LLM Application

Course Description

This Post Diploma Certificate (PDC) in Deep Learning and Applied Generative AI comprises four modules. What you will learn in each module:
1. Deep Learning for Natural Language Processing:
1.1. Understand and apply deep learning techniques to process and analyze textual data.
1,2. Explore models like Neural Networks and Recurrent Neural Networks (RNN) for NLP tasks.
2. Deep Learning for Image Recognition:
2.1. Learn the principles of deep learning for visual data.
2.2. Implement and train models such as Convolutional Neural Networks (CNN) for image recognition.
3. Visual Generative AI Application:
3.1. Explore generative AI models like Generative Adversarial Networks (GANs) for creating images and videos.
3.2. Gain hands-on experience in developing applications using these models.
4. LLM Application:
4.1. Understand and apply Large Language Models (LLMs) for text generation and processing.
4.2. Implement and experiment with models like GPT and LangChain in practical scenarios.

Course Structure

TPG course reference No.

TGS-2023038930

Post-Diploma Certificate in Deep Learning and Applied Generative AI
Deep Learning for Image Recognition (NP-0622DLIR)
This module gives an introduction to the basic principles of Deep Learning (DL) techniques that are specifically designed for handling and analyzing 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.
Deep Learning for Natural Language Processing (NP-0621DLNLP)
This module covers the basics of Deep Learning (DL) techniques that are specifically designed for processing and analyzing 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.
LLM Application (NP-0624LLLMA)
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.
Visual Generative AI Application (NP-0623VGAP)
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, students will be introduced to Prompt Engineering and AI Ethics.

Entry Requirements

Condition 1

Highest qualification

Local Polytechnic Diploma in any discipline.
or

Condition 2

Highest qualification

Recognised Bachelor's Degree in any discipline. 
or

Condition 3

Working experience

At least 1 year of relevant work experience.
  • You are required to have working knowledge of Microsoft Office e.g. Word, Excel and PowerPoint. Learners enrolled into the course are expected to bring along their personal laptop.

Required Specifications for Laptop Computers
•   Processor: Intel Core i7 or AMD Ryzen 7 Series
•   RAM: 16 GB (32 GB recommended)
•   Storage Device: 1 TB Solid State Drive (SSD) or above
•   Operating System: Microsoft Windows 11
•   Communication platform: Microsoft TEAMS (mandatory to have this tool installed in the laptop)

Financial matters

Course fees payable (incl. GST & excl. supplementary fee)

Description Post-Diploma Certificate in Deep Learning and Applied Generative AI Total course fee
Full Course fee $5,509.95 $5,509.95
PR Sponsored by SME $460.35 $460.35
Singapore Citizen Sponsored by SME $460.35 $460.35
Singapore Citizen Aged 40 & Above $460.35 $460.35
Singapore Citizen Aged Below 40 $670.35 $670.35
Singapore PR $1,863.90 $1,863.90
Long-Term Visit Pass Plus $5,509.95 $5,509.95

GST rate

The course fees payable above are inclusive of 9% GST rate.

Payment option

The first payment needs to be made after accepting the offer.

Allowed payment by

The course fee allows to be paid by:
Post-Secondary Education Account (Adhoc withdrawal form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).

Nett supplementary fees payable
  • GPA Insurance Fee S$2.11, subject to GST, fees payable S$2.30,  Allow payment by Post-Secondary Education Account (Adhoc withdrawal form); Allow payment by Post-Secondary Education Account (Standing order form)
  • Other Fees S$7.43, subject to GST, fees payable S$8.10,  Allow payment by Post-Secondary Education Account (Adhoc withdrawal form); Allow payment by Post-Secondary Education Account (Standing order form)

Refund and withdrawal policy

  • Please note that a 100% refund will be available if the withdrawal request is submitted more than or equal to 14 days before the course start date.
  • Please note that a 50% refund will be available if the withdrawal request is submitted less than 14 days before the course start date.
  • Please note that no refund will be available if the withdrawal request is submitted on or after the course start date.

Remarks

Important note: All course fees are determined based on prevailing funding policies and subject to review and revision annually.

Company Sponsorship

If your employer is sponsoring your course fee, please refer to this guide to link your company's Corppass to the STEP Corppass e-Service first. Your company will need to generate sponsorship link for you to register for the course.

For more details, please refer to the step-by-step guide to enrol, track and manage employee's learning activities and other services.