Mastering Prompt Engineering for Generative Artificial Intelligence (AI)

Programme Code D278
Data Science & AI
Learning Partner(s)
Republic Polytechnic
1 Day
Format In-person
Data Quality Machine Learning
Job Roles
Public Service Officer (non-ICT&SS)


Keen to learn about generative AI? Learn to formulate engaging prompts and understand the importance of asking relevant questions and crafting captivating prompts for AI applications to generate useful answers.

This programme is geared towards a diverse range of professionals – content creators, educators, trainers, and AI enthusiasts.

Delve into the art of effective questioning, learn how to tailor prompts to various AI applications and project objectives, as well as understand how to produce thought-provoking prompts that yield meaningful AI-generated content. Participate in interactive activities and real-life scenarios that bring the theoretical into practice, showing you how to stimulate creativity and high-quality outputs from AI models.

This transformative learning experience will empower you to optimise your AI-driven environment, fostering curiosity, enhancing creativity, and leading to better outcomes. Unlock the full potential of your generative AI projects through the power of effective questioning.

Key Takeaways

At the end of this programme, you will be able to:
  • describe the key principles of generative AI models and the role of effective prompting in guiding AI performance
  • explain the relationship between well-crafted prompts and the quality of AI-generated content, as well as the importance of prompt engineering in optimising generative AI models
  • construct engaging and thought-provoking prompts tailored to diverse AI applications and project objectives
  • assess the effectiveness of prompts in facilitating AI-assisted content generation and identify areas for improvement
  • combine various prompt engineering techniques to create innovative prompts that enhance AI model performance and inspire creativity
  • critique and refine the quality of prompts in real-life scenarios, ensuring optimal outcomes in AI-driven projects

Who Should Attend

  • Please refer to the job roles section.
  • Designed for professionals from all fields, including content creators, educators, and trainers, as well as AI enthusiasts looking to incorporate generative AI models into their work. 

This programme will cover the following topics:

  • Introduction to Generative AI Models & Prompts
  • Principle of Effective Prompts
  • Prompt Design for Various Tasks
  • Prompt Patterns
  • Advanced Prompt Techniques
  • Real-Life Project

Full Fee

Full programme fee


9% GST on nett programme fee


Total nett programme fee payable, including GSTS$381.50
With effect from 1 Jan 2024

Funding is available for this programme. Please visit the learning partner’s website to find out about the updated programme fee funding breakdown and eligibility.

You will be awarded a certificate of completion upon meeting the 75% programme attendance requirement.

For programmes with formal assessment component, you will be awarded the certification of completion upon passing the assessment. Otherwise, a certification of attendance will be issued instead upon meeting the 75% course attendance requirement.

Upcoming Classes

Class 1
03 May 2024 to 03 May 2024 (Full Time)
Duration: 1 day
When: May - 03
Time : 9.00am - 5.00pm
Class 2
02 Aug 2024 to 02 Aug 2024 (Full Time)
Duration: 1 day
When: Aug - 02
Time : 9.00am - 5.00pm
Class 3
04 Oct 2024 to 04 Oct 2024 (Full Time)
Duration: 1 day
When: Oct - 04
Time : 9.00am - 5.00pm
Class 4
01 Nov 2024 to 01 Nov 2024 (Full Time)
Duration: 1 day
When: Nov - 01
Time : 9.00am - 5.00pm


Step 1 Apply through your organisation's training request system.

Step 2 Your organisation's training request system (or relevant HR staff) confirms your organisation's approval for you to take the programme.

Your organisation will send registration information to the academy.

Organisation HR L&D or or equivalent staff can register directly through the learning partner's registration portal.

Click here to register for 3 May run.

Click here to register for 2 Aug run.

Step 3 The learning partner will inform you whether you have been successful in enrolment.