Craft Prompts That Deliver Clear, Accurate AI Results

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Course Description

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.

Prerequisite

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

  • 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

  • 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

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)

  • 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

Instructor-Led | Mode of Delivery (Lecture & Illustration, Demonstration & Practical Activity, Group Discussion)

  • 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

Instructor-Led | Mode of Delivery (Lecture & Illustration, Demonstration & Practical Activity)

  • 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)

 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.

Prompt Engineering Course

Craft Prompts That Deliver Clear, Accurate AI Results

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