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

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

Course Provider

NTU Academy for Professional and Continuing Education

Certification

Short Course

Academic Unit

0

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 fine-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$1090

SSG Funding Support

Course fee

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

BEFORE funding & GST

AFTER funding & 9% GST

Singapore Citizens (SCs) and Permanent Residents (PRs)
(Up to 50% funding)

S$1,000.00

S$590.00

Enhanced Training Support for SMEs (ETSS)
(Up to 70% funding)

S$390.00

SCs aged ≥ 40 years old
SkillsFuture Mid-career Enhanced Subsidy (MCES)
(Up to 70% funding)

  • Funding Requirements:
    - You must achieve a minimum of 75% attendance for each module.
    - You must complete and pass all assessment components.

    Read more about funding here.

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

Teoh Teik Toe

Teoh Teik Toe

Summary Experience NTU Senior Lecturer SUTD Associate Director & SUTD Academy Fellow Research and Software Development (25 years) Teaching (13 years) Listed Company Director – NTPM (13 years) Education: Post Doc, PhD, DBA, LLB, LLM, CFA, ACCA, CIMA, CA, CPA Publication: 95 (14 Journals, 77 Conference Paper, 4 Springer Books) Google Scholar H Index 8 Education Background: Post Doctorate, Singapore University Technology & Design PhD Computer Engineering, Nanyang Technological University Doctor of Business Administration, MBA University of Newcastle Master of Science in Computer Engineering, Bachelor of Science in Electrical Engineering (Hons) University of Southern California Master of Law (LLM), National University of Singapore Master of Law (LLM), University of London Bachelor of Law (LLB) 2nd Upper Hons Birmingham City University Master of Accounting and Finance, University of Gloucestershire Bachelor of Psychology, University of Derby PCEP PCAP (Python) AWS Cloud Practitioner CFA ACCA (World Top 100) CIMA Chartered Accountant Singapore, Chartered Accountant Malaysia, CPA Australia, Accredited Tax Practitioner Singapore Mensa member