Training Objectives
Explain core Generative AI concepts relevant to prompting (capabilities, limitations, and quality risks).
Write clear, structured prompts using goals, context, constraints, and output formats.
Use iterative prompting methods (refine, critique, improve) to increase output quality and consistency.
Apply prompting patterns for summarization, drafting, rewriting, comparison, and structured extraction.
Create reusable prompt templates for recurring workplace tasks.
Apply safety and privacy practices for responsible usage (redaction, sensitivity checks, and verification steps).
Target Audience
Business users and knowledge workers (administration, operations, HR, sales, finance, project teams).
Team leads and managers who review or produce documents and decisions.
Participants who want a practical, tool-based workflow using ChatGPT and/or Gemini.
Pre-requisites
Knowledge
No formal prerequisites required. Basic comfort with writing and editing documents is helpful.
Tooling
A working account for ChatGPT and/or Gemini in a modern web browser.
Training Setup Guide
Laptop with a modern browser and stable internet connection.
Access to ChatGPT and/or Gemini (sign-in completed before class).
Bring 2-3 non-confidential work samples (optional): email thread, report section, meeting notes, SOP excerpt.
Do not paste confidential, regulated, or personally sensitive data unless your organization policy explicitly permits it.
Delivery Options (1-3 Days)
Use the same module set; extend depth and labs as duration increases.
Option
Included Modules
Typical Outcomes
1 Day (Core)
Modules 1-4 + selected parts of Module 5
Strong fundamentals + practical productivity prompting patterns
2 Days (Standard)
Modules 1-6
Core + reliability + advanced workflows and template library
3 Days (Advanced)
Modules 1-7 + Capstone
End-to-end prompt workflows, governance, and team-ready assets
Module 1: Generative AI and Prompting Fundamentals
Key topics
What Generative AI can and cannot do (typical failure modes and quality risks).
How ChatGPT and Gemini differ in usage and interaction patterns (high-level).
Prompt anatomy: role, task, context, constraints, examples, and format.
Iteration loop: draft prompt -> review output -> refine prompt.
Hands-on / Lab
Rewrite 6 weak prompts into structured prompts; compare outputs across both tools.
Create a personal prompt checklist for quality (clarity, specificity, format, constraints).
Expected outcomes
Participants can produce clear prompts and explain how to improve results through iteration.
Assessment / Checkpoint: Prompt quality rubric (peer review and trainer feedback).
Module 2: Core Prompt Patterns for Work (Summarize, Extract, Transform)
Key topics
Summarization patterns: executive summary, key points, action items, FAQs.
Extraction patterns: issues/owners/dates, requirements lists, risks and assumptions.
Transformation patterns: simplify, rewrite for tone, convert narrative to bullets/tables.
Hands-on / Lab
Turn a 2-3 page text into: 1-page brief, action list, and risk list.
Extract structured fields into a provided template (table output).
Expected outcomes
Participants can reliably summarize and extract actionable information from text.
Assessment / Checkpoint: Accuracy and coverage scoring (sample answer key).
Module 3: Drafting and Editing for Professional Communication
Key topics
Drafting emails, memos, reports, and proposal sections.
Tone and audience controls (formal, concise, persuasive; stakeholder alignment).
Style constraints: organization standards, reading level, and formatting rules.
Hands-on / Lab
Draft: email + meeting agenda + 1-page proposal from a short business brief.
Generate 3 variants with different tones and lengths; select and refine the best.
Expected outcomes
Participants can generate usable first drafts and improve them with guided editing prompts.
Assessment / Checkpoint: Document checklist (purpose, tone, structure, completeness).
Module 4: Reasoning Workflows and Decision Support (Non-technical)
Key topics
Questioning frameworks: compare options, pros/cons, trade-offs, and risks.
Decision memo outputs: recommendation with assumptions and open questions.
Verification prompts: request sources from provided text and highlight uncertainty.
Hands-on / Lab
Create a decision memo from a scenario; include assumptions, risks, and next steps.
Create a Q&A pack for stakeholder review.
Expected outcomes
Participants can convert messy inputs into decision-ready outputs with clear caveats.
Assessment / Checkpoint: Scenario-based evaluation (rubric).
Module 5: Advanced Prompt Techniques (Intermediate)
Key topics
Few-shot examples for consistent formatting and style.
Prompt chaining: break complex tasks into steps and aggregate results.
Constraint-based prompting: strict formats (tables, JSON-like structures, checklists).
Handling ambiguity: clarification prompts and fallback behaviors.
Hands-on / Lab
Build a chained workflow: ingest -> summarize -> extract actions -> draft email.
Build 5 reusable templates for recurring tasks (your own workplace scenarios).
Expected outcomes
Participants can design repeatable workflows and reusable prompt templates.
Assessment / Checkpoint: Template library review (completeness and reusability).
Module 6: Reliability, Safety, and Privacy for Workplace Use
Key topics
Common reliability issues: hallucinations, omissions, and inconsistency.
Mitigation tactics: ask for assumptions, require citations from provided text, and verification steps.
Safety and privacy practices: redaction, data minimization, and policy alignment.
Hands-on / Lab
Redaction lab: transform sensitive text into safe prompts while preserving meaning.
Create a 'safe prompt wrapper' (constraints + refusal handling + verification steps).
Expected outcomes
Participants can reduce risk and improve consistency for real work usage.
Assessment / Checkpoint: Short quiz + output review.
Module 7: Capstone (Day 3) - End-to-End Workflow
Key topics
Design a complete prompt workflow for a real business process (reporting, proposal writing, SOP drafting, meeting lifecycle).
Define inputs, outputs, quality criteria, and a reusable template pack.
Handover: documentation for team adoption (usage notes and do/don't list).
Hands-on / Lab
Capstone build: deliver an end-to-end workflow with templates and a sample output pack.
Demonstration and peer review.
Expected outcomes
Participants deliver a documented, reusable prompt workflow ready for workplace use.
Assessment / Checkpoint: Capstone demo + scoring rubric.
Programme scope, delivery arrangements and suitability are confirmed during enquiry.