Equinet Academy
Craft Prompts That Deliver Clear, Accurate AI Results
Course Description
What is This Course About?
This course equips learners with the practical skills to design and refine prompts that improve the quality, clarity, and relevance of AI-generated outputs. From foundational prompting types to advanced multi-step strategies, learners will gain hands-on experience crafting prompts tailored to various tasks, tones, and tools.
Emphasising structure, iteration, and model adaptability, this course is ideal for professionals who want to boost productivity and reduce hallucinations or irrelevant responses in AI interactions. Learners will explore prompt engineering tools, test prompts across models like ChatGPT and Claude, and apply decision-making frameworks to real-world prompting scenarios.
Tools Covered
Inside your toolbox
Work with the same powerful tools the pros trust, practical, proven, and built to help you succeed from day one.
Target Audience
Made for the BOLD!
This course is suitable for business professionals, marketers, content creators, project leads, and digital teams interested in leveraging Generative AI tools more effectively. It is especially relevant for individuals tasked with using AI for writing, summarising, ideation, decision support, or client interaction.
Prerequisites
What You’ll Need to Get Started
Participants should be comfortable using web-based tools and have basic familiarity with Generative AI interfaces such as ChatGPT, Gemini, or Claude. No coding is required.
Course Highlights
What You’ll Learn
In this Prompt Engineering course, you will:
- Explore prompting types such as zero-shot, few-shot, conditional, and CoT
- Learn structured techniques to craft, revise, and optimise prompts
- Use AI prompt tuning tools for efficiency and output evaluation
- Design prompts for different use cases, models, and stakeholder needs
- Apply real-world frameworks to evaluate, troubleshoot, and improve AI outputs
Course Objectives
What You’ll Takeaway
By the end of the class, trainees will be able to:
- Identify prompt types and apply appropriate structures based on task goals
- Craft well-structured prompts with tone, formatting, and clarity considerations
- Apply iterative strategies such as chaining, scaffolding, and refinement to improve AI responses
- Evaluate and troubleshoot weak prompts using performance feedback or diagnostic tools
- Adjust prompt formats for different AI models and use model-specific configuration parameters
- Design stakeholder-aligned prompts for real-world tasks across domains and scenarios
Skills Gained:
Prompt Types Mastery
Learn how to apply zero-shot, one-shot, few-shot, conditional, and chain-of-thought prompts for different goals.
Structured Prompt Writing
Create prompts with clear instructions, context, format, and tone for consistent AI output.
AI Output Optimisation
Refine, iterate, and troubleshoot weak prompts to reduce hallucinations and elevate accuracy.
Use-Case Prompting
Craft prompts tailored for tasks like summarising, analysing, classifying, or generating content.
Audience-Aligned Prompts
Adapt tone, length, structure, and style to fit stakeholders, clients, or brand requirements.
Advanced Prompt Strategies
Apply chaining, scaffolding, and multi-step reasoning frameworks to handle complex scenarios.
Prompt Evaluation Methods
Assess prompt quality using output diagnostics, real-world tests, and performance criteria.
Real-World Framework Application
Apply proven prompting decision frameworks to professional workflows and daily tasks.
Certification Track
Level up!
Get certified. Get noticed. Get ahead.
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 Outline
Inside the course
This Prompt Engineering course covers prompt types, structured prompt writing, optimisation techniques, and model adaptability. Learn to design, refine, and evaluate prompts across AI tools like ChatGPT and Claude to produce accurate, consistent, and task-aligned AI outputs.
Foundations of Prompting and Structure
- Differentiate prompt types: zero-shot, one-shot, few-shot, conditional
- Understand prompt structure: instruction, context, format, and style
- Analyse real-world use cases and impact of prompt quality on AI output
- Craft effective prompts for goals such as summarisation, classification, or reasoning
- Adjust prompt tone, length, and formatting for specific audience needs
Advanced Prompt Strategies and Tools
- Apply reasoning-focused techniques: Chain-of-Thought, ReAct, and step-based prompting
- Use prompt layering and chaining to build multi-step tasks
- Explore reusable templates for common tasks and customise them for workflows
- Evaluate and refine prompts using tools such as GPT Lab or PromptPerfect
- Optimise syntax, phrasing, and word order to improve specificity and clarity
Prompt Optimisation and Evaluation
- Define parameters of an effective prompt: specificity, clarity, relevance
- Iterate prompts using A/B testing, feedback, and prompt scoring methods
- Diagnose weak outputs and revise for tone, accuracy, or task alignment
- Evaluate prompt variants using comparison frameworks and output analysis
- Consider model cognitive load, length limits, and instruction balance
Model Adaptability and Prompt Decision-Making
- Understand model parameters: temperature, top-p, tokens, and penalties
- Compare prompt performance across models (e.g. GPT vs Claude)
- Apply decision-making frameworks for refining prompt structure, content, or tone
- Evaluate prompts for goal alignment, ethical safety, and organisational fit
Creative and Domain-Specific Prompt Design
- Design layered and multi-step prompts for creative or reasoning-heavy tasks
- Embed domain knowledge into prompts using references and inline content
- Apply backwards planning to prompt design from intended outputs
- Handle ambiguous or undefined scenarios with fallback and conditional prompts
- Reverse-engineer AI outputs to identify and improve original prompt structure
Trainers
Meet Your Educators
Trainer Bio
Tat Yuen
Tat Yuen is an ACLP-certified trainer and lifelong learner with over 30 years of experience in enterprise technology, spanning early systems through to modern cloud platforms. He now focuses on helping learners understand and use AI in practical, everyday contexts. Drawing on decades of experience translating complex ideas for diverse audiences, he teaches coding, AI literacy, and technology adoption with clarity and relevance. His goal is to empower students and professionals to engage thoughtfully and confidently with AI in their daily work and lives.
Course Fee
Fund Your Brain Gain
Gain practical skills and resources you can apply immediately at work.
Course Fee
S$500.00
Course Schedule
Mark Your Calendar!
Discover course schedules crafted with you in mind, structured for balance, driven by your goals, ready for action.
| Learning Mode | Course Dates | Duration | Trainer |
|---|---|---|---|
| In-Person | 18, 19 Jun 2026 (Thu, Fri) | 9:00am - 6:00pm | |
| In-Person | 14, 15 Sep 2026 (Mon, Tue) | 9:00am - 6:00pm | |
| In-Person | 20, 21 Oct 2026 (Tue, Wed) | 9:00am - 6:00pm | |
| In-Person | 17, 18 Dec 2026 (Thu, Fri) | 9:00am - 6:00pm |
Click on the course dates above to register online.
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.
This course is designed for professionals, marketers, content creators, project leads, and digital teams who want to create accurate and purposeful AI-generated content.
Yes. The course introduces both foundational and advanced prompting techniques, with step-by-step exercises to build confidence.
Access to ChatGPT, Claude, Gemini, and other popular AI platforms will be included, along with prompt design templates and evaluation frameworks.
Absolutely. You will learn how to iterate and refine prompts, troubleshoot weak outputs, and achieve reliable, context-specific results.
No coding is required. The focus is on practical strategies for prompt design and improving AI interactions.
The course includes live demonstrations, group discussions, and hands-on exercises for real-world prompting scenarios.
Brochure Download
See What’s Inside: Get the Brochure
Explore the course outline, key topics, and learning outcomes you will gain from this training.
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