Developing Intelligent Applications with GPT API
This two-day course has been specifically designed to provide learners with a comprehensive understanding of how to develop applications using Generative Pre-trained Transformer (GPT) application programming interface (API) technology, which is an advanced language model. GPT API utilizes pre-trained models to generate text and perform various language-related tasks. By harnessing the power of GPT, learners will learn how to enhance business outcomes through the development of innovative applications.
Throughout the course, learners will acquire extensive knowledge of GPT API at both a team and organizational level, and they will be guided through practical steps to initiate GPT application projects. This includes working with GPT-based API models, fi ne-tuning them, deploying them in the cloud, and seamlessly integrating them into various applications. Practical use cases for GPT models, such as chatbots, will be explored to demonstrate their real-world applications and benefits.
The course also provides hands-on exercises and app development projects, allowing learners to cultivate a diverse range of skills in Natural Language Processing (NLP), programming, API integration, testing, debugging, and deployment. By applying their knowledge and honing their practical skills, learners will stay up to date with the latest advancements in the field of Artificial Intelligence (AI). This ensures that they remain relevant and well-informed professionals in their respective domains.
Key Benefits
Comprehensive GPT Knowledge – Understand how GPT technology generates human-like text and performs NLP tasks to enhance business applications.
Hands-On Application Development – Build functional apps using GPT API with programming languages like Python, Java, or JavaScript.
Effective API Integration – Confidently configure API authentication, manage requests, and handle errors using API documentation.
Enhanced Testing & Debugging Skills – Improve app reliability by testing with different input scenarios and resolving issues effectively.
Seamless Deployment & Maintenance – Deploy applications in the cloud or on local servers, monitor performance, troubleshoot issues, and execute updates.
Programme Structure
- Choosing a suitable GPT API.
- Setting up the API.
- Using programming languages like Python, Java, or JavaScript to send requests to the API and receive responses.
- Testing and deploying the app.
- Monitoring app's usage and performance.
Who Should Attend
- This programme is suitable for Data Analyst, Data Scientist, Business Analyst, Programmer, Software Engineer, Accountant, Finance (Banker), Entrepreneur.
- Prior knowledge in programming will be an advantage.
Schedule & Venue
Date(s): 07 to 08 Jul 2025 Time: 9:00AM to 5:00PM Mode: In-person Venue: NTU@one-north campus, Executive Centre (Buona Vista) / NTU Yunnan campus Registration Closing Date: 16 Jun 2025 |
Note: NTU reserves the right to change the date, venue, and mode of delivery due to unforeseen circumstances.
Certification
 | Upon successful completion of the course, learners will be awarded with an e-Certificate of Completion. |
Fees and Funding
Standard Course Fee: S$2,180.00
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 70% funding) | S$2,000.00 | S$654.00 | |
Enhanced Training Support for SMEs (ETSS) | S$254.00 | ||
SCs aged ≥ 40 years old | |||
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.
Faculty and Industry 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:
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.
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