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

Course Provider

Centre for Professional and Continuing Education (PaCE@NTU)

Certification

Continuing Education and Training Certificate

Enquire here

Introduction

 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.
 
 
 
 
 
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
 
 

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.

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

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)

• NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.

Note: Course fee payment made before 1 Jan 2024 will be subject to GST at 8%, and payment made on or after 1 Jan 2024 will be subject to GST at 9%.

Read more about funding

Dr Teoh Teik Toe

Teik Toe is currently the Academic Director and Senior Lecturer in NBS, NTU teaching Business Analytics and AI subjects. He is the Academic Director for NBS Master of Science in Business Analytics. He is also the Associate Director for NTU NBS AI Lab and NTU NBS IMARC Center. He is also the adjunct professor in Henan University, Shandong Institute of Technology and Han Chiang University. He has published 4 books and more than 100 publications including journal, conference. He has more than 30 years of research experience including Big Data, Deep Learning, Cyber-security, Artificial Intelligence, Machine Learning and Software Development. He also has more than 25years of teaching experience in AI, Data Science and Analytics, Statistic, Business, Finance, Accounting and Law.

He has obtained PhD in Computer Engineering from NTU, Doctor of Business Administration and MBA from University of Newcastle, Master of Law from NUS, LLB and LLM from UoL. He did is post doctorate from SUTD

He is also the chartered holder of CFA, ACCA, CIMA, Chartered Accountant Singapore, Chartered Tax Practitioner, Associatr Chartered Valuer and Appraiser, Chartered Accountant Malaysia and CPA Australia. He is also a member of Mensa. 

https://www.linkedin.com/in/teohteiktoe 

 


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