Leveraging Generative Pre-trained Transformer (GPT) to improve business productivity

Short Course

Leveraging Generative Pre-trained Transformer (GPT) to improve business productivity

Leveraging Generative Pre-trained Transformer (GPT) to improve business productivity

 This one-day course is specifically designed to provide learners with a comprehensive understanding of Generative Pre-trained Transformer (GPT) technology and how it can be utilised to enhance business outcomes. Learners will acquire a deep understanding of GPT at both a team and organisational level, and will learn practical steps to initiate GPT projects. This includes working with GPT-based models, fine-tuning them, deploying them, and seamlessly integrating them into various applications.
Throughout the course, learners will be exposed to a variety of practical use cases for GPT models, such as chatbots, content generation, translation, and sentiment analysis. They will learn how to apply these use cases to drive business growth and achieve success.

Moreover, the GPT Course incorporates a series of hands-on exercises and projects, enabling learners to apply their knowledge and develop practical skills.
The course is designed to ensure that learners stay up to date with the latest advancements in the field of Artificial Intelligence (AI), and that they remain relevant and knowledgeable in their profession. By attaining these learning outcomes, learners will be well-equipped to apply their knowledge and skills to real-world projects involving GPT-based AI systems. They will also be able to contribute to the advancement of natural language processing and AI technologies in their respective fields.

 

Key Benefits

Upon completion of the GPT course, learners would be able to:
(1) Understand the GPT architecture, its history, and evolution from the original GPT to the latest GPT-4.
(2) Acquire a solid foundation in language models, their role in natural language processing, and their applications in various domains.
(3) Acquire practical skills in working with GPT models, including fi ne-tuning, deployment, and integration into various applications.
(4) Apply GPT models to solve real-world problems in areas like chatbots, content generation, translation, sentiment analysis, and question-answering systems.
(5) Understand and address the ethical concerns surrounding AI and language models, such as bias, privacy, and potential misuse.
(6) Deploy GPT models in production environments.
(7) List the current limitations of GPT models and identify potential areas for future research and development in natural language processing and AI.
(8) Develop problem-solving and critical thinking skills by working with GPT models to tackle complex problems and challenges.

Programme Structure

Module 1: Introduction to GPT
- What is GPT?
- How does GPT work?
- Applications of GPT

Module 2: Automating Writing Tasks with GPT
- Using GPT to write emails
- Using GPT to write reports
- Using GPT to write articles

Module 3: Summarizing Text with GPT - Using GPT to summarize articles
- Using GPT to summarize reports
- Using GPT to summarize emails

Module 4: Generating Content with GPT
- Using GPT to generate social media posts
- Using GPT to generate blog posts - Using GPT to generate product descriptions

 Module 5: Limitations of GPT and Working Around Them
- Understanding the limitations of GPT
- How to work around the limitations of GPT Course

Methodology
The course will be delivered through a combination of lectures, demonstrations, and hands-on exercises. Participants will have the opportunity to practice using GPT to automate various tasks, including writing, summarizing, and generating content.

Who Should Attend
This programme is suitable for participants working/ intending to work in the any industry. Prior knowledge in computing will be an advantage.

Schedule & Venue

 

Date(s): 3 December 2025
Time: 9:00AM to 5:00PM
Venue: NTU@one-north campus, Executive Centre (Buona Vista) / NTU Yunnan Campus

Apply here
Registration Closing Date: 
12 November 2025

Note: NTU reserves the right to change the date, venue, and mode of delivery due to unforeseen circumstances.

Certification

Upon course completion and fulfilling all requirements, participants will be awarded an NTU e-Certificate of Completion, demonstrating their proficiency in the essential areas of the course. 

 

Fees and Funding

Standard Course Fee: S$1,090.00

SSG Funding Support

 Course fee

Course fee payable after SSG funding, if eligible under various schemes

 

BEFORE funding & GST

AFTER funding & 8% GST

AFTER funding & 9% GST

Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding)

S$1,000.00

S$324.00

S$327.00

Enhanced Training Support for SMEs (ETSS)

S$124.00

S$127.00

SCs aged ≥ 40 years old
SkillsFuture Mid-career Enhanced Subsidy (MCES)
(Up to 90% funding)

  • Standard course fee is inclusive of GST.
  • NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.

Trainer

Dr Teoh Teik Toe

Dr Teoh is a Academic Director and Senior Lecturer at Nanyang Business School (NBS), teaching Business Analytics and AI subjects. His other roles include:

  • Academic Director of the NBS Master of Science in Business Analytics
  • Associate Director of NTU NBS AI Lab and NTU Information Management Research Centre
  • Adjunct Professor at Henan University, Shandong Institute of Technology and Han Chiang University

Dr Teoh has published 4 books and more than 100 publications. Additionally, he has more than three decades of research experience in the areas of Big Data, Deep Learning, Cybersecurity, AI, Machine Learning and Software Development. He also possesses more than 25 years of teaching experience in AI, Data Science and Analytics, Statistics, Business, Finance, Accounting and Law.

Dr Teoh obtained his PhD in Computer Engineering from NTU, Doctor of Business Administration and Master of Business Administration from University of Newcastle, Master of Law from the National University of Singapore, and Bachelor of Laws and Master of Laws from University of London. He completed his post doctorate at Singapore University of Technology and Design.

Dr Teoh is a chartered holder of CFA, ACCA, CIMA, CA Singapore, Chartered Tax Practitioner, Associate Chartered Valuer and Appraiser and CPA Australia. Additionally, he is a member of Mensa International.