Gen AI Essentials: Mastering the Art of Prompt

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Course Information

1 Day Course

Fee: $680 (before GST)

Course Dates:

6 Aug 2026
22 Oct 2026
3 Dec 2026

Time: 9.15am – 5pm

Contact: [email protected]

Venue: Pan Pacific Singapore/Holiday Inn Orchard City Centre/Holiday Inn Singapore Atrium

Note:

Tea breaks and buffet lunch will be served. Car parking coupons are available upon request.
For 3 pax and above, 10% discount across the board

Course Introduction

“Gen AI Essentials: Mastering the Art of Prompt” is a compact, hands-on workshop designed to help non-technical professionals, including business users, marketers, and product managers, learn how to effectively use and apply generative AI (Gen AI). Through real-world examples and guided practice, participants discover how to craft, evaluate, and refine prompts to generate high-quality AI outputs, transforming daily tasks through AI augmented productivity.

Learning Outcome

By the end of this 8-hour session, participants will be able to:

- Understand Gen AI fundamentals and its capabilities.
- Master prompt-engineering techniques for producing high-quality outputs.
- Evaluate, refine, and iterate on AI-generated content, ensuring clarity, accuracy and alignment with objectives.
- Recognise and address ethical considerations when working with Gen AI

Course Outlines

Topic 1: Gen AI in Focus: What It Is and Why It Matters

Definition and core concepts of Gen AI
Brief history and evolution of AI
Types of Gen AI (e.g., text, visual, multimodal)
Real-world examples and use cases
Capabilities and limitations of Gen AI

Topic 2: Prompt Mastery: Building Foundations for AI Success

Core principles of prompt crafting
Key components of an effective prompt
Basic techniques (e.g., instruction, role, few-shot, zero-shot)
Advanced approaches (e.g., directional stimulus, tree-of-thought)

Topic 3: AI at Work: Prompt Strategies You Can Use Daily

Common business use cases (e.g., ideation, research and strategy, summary, data cleaning and analysis, presentation outlines and visuals)
Practical tips for integrating AI into everyday tasks
Techniques for evaluating and iterating on AI outputs to achieve consistent quality