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Corporate Clients
Craft Prompts That Deliver Clear, Accurate AI Results
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.
Pre-requisites
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.
Target Audience
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.
Course Highlights
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
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
Certification
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
Instructor-Led | Mode of Delivery (Lecture & Illustration, Demonstration & Practical Activity, Group Discussion)
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
Instructor-Led | Mode of Delivery (Lecture & Illustration, Demonstration & Practical Activity, Group Discussion)
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
Instructor-Led | Mode of Delivery (Lecture & Illustration, Practical Activity, Group Discussion)
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
Course Fees
Course Fee:
S$500.00 (inclusive of 9% GST)
Frequently Asked Questions (FAQs)
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.
