Reliable AI starts with better prompts.
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Hear From The Trainer
Tat Yuen walks through why AI rarely fails at random but instead fails when a prompt is unclear or poorly structured, how to write sharper prompts using patterns like zero-shot, few-shot, and chain-of-thought, and how to refine them for stronger results across ChatGPT, Gemini, and Claude.
Not ready to register yet? Download the course brochure for the full module outline, learning objectives, and course fees. Download brochure
Tools Covered
Inside Your Toolbox
Specific tools’ depth of coverage may vary based on industry trends and learner needs.
ChatGPT
Gemini
ClaudePrompt Structure
Design prompts with the right instruction, context, format, and style components.
Prompt Types
Apply zero-shot, few-shot, Persona Pattern, and conditional prompting strategically.
Advanced Techniques
Use Chain-of-Thought, Outline Expansion, and Template Patterns for complex tasks.
Prompt Evaluation
Score, critique, and iteratively refine prompts for accuracy and consistency.
AI Guardrails
Apply Root Prompts, Context Injection, and Semantic Filters to manage AI risk.
Cross-Model Adaptation
Adapt prompts and parameters for better performance across ChatGPT and Claude.
Course Outcomes
Learning Outcomes
By the end of the course, you will be able to:
- Design effective prompt systems that generate reliable, well-reasoned outputs for complex business scenarios, using proven patterns and techniques
- Apply advanced prompting strategies to guide AI reasoning and improve the quality of AI-generated insights, ensuring they align with your intended objectives
- Evaluate AI outputs critically using a range of techniques to verify accuracy, consistency, and reliability, helping you make informed decisions based on AI-generated information
- Implement AI guardrails to manage risk and maintain high-quality results across a wide range of business scenarios, protecting against potential biases or errors
- Adapt prompts and configure model parameters to optimise performance across different AI models and use cases, ensuring consistent results and maximum value from AI investments
- Develop multi-turn prompt strategies and integrated prompt systems that combine various patterns, frameworks, and verification methods to support complex, real-world business challenges
Course Outline
Inside The Course
Trainers
Meet Your Educators
Target Audience
Who Should Attend
This course is designed for individuals who want to move beyond basic prompting and develop a systematic approach to working with AI for complex business challenges.
It is suitable for:
- Digital Marketers
- Business Analysts
- Project Managers
- Content Creators
- Client-Facing Professionals
- Anyone Who Uses AI Tools Regularly for Professional Work
Certification Pathway
Get Certified
To attain the Certified AI Practitioner (Business and Work Applications) 2.0 certification, learners are required to complete all four modules:
A Certification of Completion by Equinet Academy will be awarded to candidates who have demonstrated competency in the Prompt Engineering course assessment and achieved at least 75% attendance.
Course Fee and Funding
Fund Your Brain Gain
This is a SkillsFuture-funded course. The full course fee is S$499.00. Your nett fee depends on your citizenship, age, and whether you are sponsored by an SME employer. Additional offsets like SkillsFuture Credit and SFEC can stack on top of your nett fee.
1. SSG SUBSIDY TIERS
Pick the row that describes you. Subsidies are applied at registration; no separate application is needed.
| Who you are | Subsidy | Nett fee |
|---|---|---|
| Singapore Citizen aged 40 and above, self-sponsored or employer-sponsored (Non-SME)MCES (MID-CAREER ENHANCED SUBSIDY) | Baseline 50% + MCES 20% = 70% total | S$149.70save S$349.30 |
| Singapore Citizen, PR, or LTVP+ Holder sponsored by an SME employerETSS (ENHANCED TRAINING SUPPORT FOR SMES) | Baseline 50% + ETSS 20% = 70% total | S$149.70save S$349.30 |
| Singapore Citizen, PR, or LTVP+ Holder aged 21 and above, self-sponsored or employer-sponsoredBASELINE FUNDING | Baseline 50% | S$249.50save S$249.50 |
| Foreigner / not eligible for SSG funding | Subsidies not applicable | S$499.00full fee |
Eligibility for ETSS depends on your employer’s SME status (ACRA-registered with annual sales of S$100M or less, or 200 employees or fewer). MCES applies to Singapore Citizens aged 40 and above. You receive whichever subsidy is most favourable, not both.
2. ADDITIONAL OFFSETS (STACK ON TOP)
These stack on top of your SSG subsidy to further lower your out-of-pocket cost. You can combine more than one if you qualify.
SkillsFuture Credit (SFC)
SINGAPORE CITIZENS AGED 25 AND ABOVE
Use your SkillsFuture Credit balance to offset your nett course fee. Singaporeans receive a base credit of S$500.
PSEA
SINGAPORE CITIZENS AGED 30 AND BELOW
Use your Post-Secondary Education Account to pay for SkillsFuture-related course fees. Apply via your bank or MOE.
SFEC
ELIGIBLE SME EMPLOYERS
Employers can use SkillsFuture Enterprise Credit (S$10,000) to offset up to 90% of out-of-pocket course fees on top of existing schemes. Check eligibility at enterprisesg.gov.sg.
3. WORKED EXAMPLE
Example assumes you have at least S$149.70 SkillsFuture Credit opening credit balance. Actual nett fee depends on your specific eligibility.
Course Schedule
Mark Your Calendar!
Duration: 1 Day (8 Hours)
| Course Dates | Trainer |
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14 Sep 2026 - 9:00am - 6:00pm Mon · In-Person
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20 Oct 2026 - 9:00am - 6:00pm Tue · In-Person
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17 Dec 2026 - 9:00am - 6:00pm Thu · In-Person
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Frequently Asked Questions (FAQs)
The Need-to-Know Stuff, Fast
Everything you need to know about the course. Can’t find the answer you’re looking for? Please contact our friendly team.
Basic familiarity with at least one AI tool such as ChatGPT, Gemini, or Claude is required. Learners who have used AI for everyday tasks will be well positioned to engage. The course does not require technical or coding expertise.
Each learner or group selects one wicked problem from the four problem briefs in the course handout. A wicked problem is one with no single correct solution, competing stakeholder values, and genuine uncertainty. Working on a real, complex problem for the full day is what makes the learning durable.
The course covers more than 10 prompt patterns across the three phases: Persona Pattern, Flipped Interaction, Cognitive Verifier, Alternate Approach, Outline Expansion, Meta Language Creation, Chain-of-Thought, Zero-Shot CoT, ReAct Prompting, Task Decomposition, LLM Grading, Template Pattern, Root Prompt, Context Injection, Semantic Filter, Game Play Pattern, and Tail Generation.
Using ChatGPT is like having a conversation with AI. Prompt engineering is about designing a system that consistently produces high-quality outputs. You will learn proven prompt patterns, reasoning techniques, evaluation frameworks, and AI guardrails that help generate more reliable insights, stronger analysis, and better decisions.
