Introduction
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.
(1) Gain a deeper understanding of GPT technology and how if can be used to generate human-like text or to perform other NLP tasks
(2) Build an app using a GPT API with programming skills like Python, Java or JavaScript
(3) Utilise API documentation to configure API authentication requests and handle errors
(4) Test and debug their app with different input scenarios
(5) Deploy and maintain their app in the cloud or local server, monitor its performance, identify issues and execute updates
- 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.
- Data Analyst, Data Scientist, Business Analyst, Programmer, Software Engineer, Accountant, Finance (Banker), Entrepreneur.
- Prior knowledge in programming will be an advantage.
Standard Course Fee: S$2180
| 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$2,000.00 | S$1,180.00 |
| Enhanced Training Support for SMEs (ETSS) (Up to 70% funding) | S$780.00 | |
| 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.
