Unleashing AI Creativity: Mastering Prompt Engineering for Generative Models
Seeking to master generative AI? If you're a journalist using an AI tool to generate an article about a recent sporting event, how would you begin? With this course, you'll learn to formulate engaging prompts like, "Write a detailed match report on last night's Premier League game between Team A and Team B, focusing on the key strategies, standout performances, and critical turning points."
Welcome to Mastering Prompt Engineering for Generative AI. This course emphasises the significance of asking pertinent questions and crafting captivating prompts for AI applications. This course 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. You’ll also be able to participate in hands-on 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.
Learning Objectives
By the end of the course, participants 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?
This course is 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. With accessible content for both experienced practitioners and beginners, the course aims to enhance communication and critical thinking skills for those interested in prompt engineering and its applications in generative AI.
Entry Requirement
Basic use of computer and internet.
Certification
Participants will be awarded a certificate of completion upon meeting the 75% course attendance requirement.
For courses with assessment component, participants 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.
Trainer’s Profile
Koay Seng Tian graduated from Curtin University, Perth, Western Australia with a Bachelor of Science (Computer Science) and a Master of Technology (Software Engineering) from National University of Singapore.
His work experience includes software development with Hewlett Packard, Sybase and have more than 10 years of product management and marketing experience with Nokia and Research In Motion.
With a broad interest range from electronics to software programming, he is now focusing on the field of Artificial Intelligence. Seng Tian contributes to the AI community by teaching deep learning courses full/part-time, sharing his comprehensive knowledge and enthusiasm for AI with his students.
Tay Sok Kem holds Bachelor’s & Master’s degree in Computer Science from University of Malaya and a Master’s degree of Science in International Relations from Nanyang Technological University. She has most than 20 years of industry experience, primarily in the data and database application and systems for telecommunications domains. As a Lecturer in RP, she teaches in the area of Business Intelligence, Data Visualisation and AI/Machine Learning.