Transforming Business with GPT: Hands-On Generative AI Applications

Training Provider: NANYANG TECHNOLOGICAL UNIVERSITY
Course Reference: TGS-2024051678
S$480
Original: S$1,600
Save S$1,120

About This Course

This course is designed to equip leaders, managers, executives and programmer with a comprehensive understanding of how to create application using Generative Pre-trained Transformer (GPT) API technology and how it can be leveraged to improve business outcomes. Learners will gain a deep understanding of GPT API at a team or organization level and learn practical steps to get started with GPT application projects, including how to work with GPT-based API models, fine-tune them, deploy them in cloud, and integrate them into various applications.

Throughout the course, learners will be exposed to a variety of practical use cases for GPT models, such as chatbots. They will learn how to build GPT applications to drive business growth and success.

Additionally, the GPT Course includes a series of hands-on exercises and projects, enabling learners to apply their knowledge and develop practical skills. The course is designed to keep learners up-to-date with the latest advancements in the field of Artificial Intelligence (AI) and ensure they remain relevant and knowledgeable in their profession.

What You'll Learn

Building your own app using a GPT API can help you achieve the following learning outcomes: Familiarity with GPT technology: You will gain a deeper understanding of GPT technology and how it can be used to generate human-like text or to perform other NLP tasks.

Programming skills: Building an app using a GPT API requires programming skills, which you can develop or improve as you work on your project. You'll learn how to use programming languages like Python, Java, or JavaScript to send requests to the API and receive responses.

API integration: Working with an API requires understanding how to integrate third-party software into your app. You'll learn how to use API documentation to configure the API, authenticate requests, and handle errors.

Testing and debugging: Building an app requires testing and debugging to ensure it works as expected. You'll learn how to test your app using different input scenarios and how to debug issues that arise during development.

Deployment and maintenance: Deploying and maintaining your app requires understanding how to host your application in the cloud or on a local server. You'll learn how to monitor your app's performance, identify issues, and update it as needed.

Overall, building an app using a GPT API is a valuable learning experience that can help you develop a wide range of skills related to NLP, programming, API integration, testing, debugging, and deployment.

Entry Requirements

A background in IT is not necessary but preferable. This course is designed to cater to the intricacies of data science, data engineering and AI. Hence, individuals with a background in these disciplines bring valuable prior knowledge that will enhance their learning experience and understanding of the curriculum.

Applicants will be required to undergo a shortlisting process where they must share their résumé and complete a pre-course assessment. Our instructors and career consultants will review applicants to assess their suitability before deciding whether to shortlist them for the course.

Course Details

Duration 15 hours
Language English
Training Commitment Full Time and Part Time
Total Enrolled 316 students
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