AI Workshop
LIVE INSTRUCTOR-LED
AI Prompt Engineering in Action
Move beyond trial-and-error prompting and learn practical techniques for producing clearer, more reliable and reusable AI outputs.
Build, test and improve prompts using repeatable patterns rather than guesswork.
4 hours Team Workshop Activities and Re-usable content Certificate of participation
Workshop Overview
Overview
Good prompting is less about finding a magic phrase and more about communicating a task clearly, supplying the right context, setting constraints and checking the result.
AI Prompt Engineering in Action is a practical workshop where participants learn, test and refine prompting patterns across common business tasks. You will work with zero-shot and example-led prompting, structured outputs, iterative refinement, critique, decomposition and reusable prompt templates.
The emphasis is on techniques that improve consistency and quality across different generative AI tools.
Key Outcomes
By the end of this workshop, you'll be able to:
Explain why context, task clarity and output structure influence AI responses.
Create prompts using role, objective, context, constraints and examples.
Choose when simple prompting is enough and when a task should be decomposed.
Use examples to shape tone, format and quality expectations.
Request structured outputs for easier review and reuse.
Iteratively refine prompts when initial responses are weak.
Use critique and evaluation prompts to improve quality.
Design reusable prompt templates for recurring business tasks.
Identify common prompting failure modes and how to correct them.
Apply responsible prompting practices when working with sensitive information.
Workshop Agenda
Explore the workshop
1 How Generative AI Responds
Build a practical mental model for prompting without unnecessary technical depth.
2 Anatomy of a Strong Prompt
Use objective, context, constraints, input and output format effectively.
3 Examples and Demonstrations
Shape outputs using examples and clear quality expectations.
4 Break Down Complex Tasks
Decompose multi-step work into manageable prompt sequences.
5 Structured Outputs
Ask for tables, frameworks, checklists and defined schemas where appropriate.
6 Iterative Prompting
Diagnose weak responses and improve them systematically.
7 Critique and Evaluation
Use AI to challenge, compare and review outputs while retaining human judgement.
8 Reusable Prompt Templates
Turn effective prompts into repeatable workplace assets.
9 Prompt Safety and Quality
Protect sensitive information and verify important outputs.
Who It's For
Built for people doing the work
Business professionals
AI champions
Analysts and consultants
Project and delivery teams
Product teams
Operations professionals
Content and communications teams
Managers and leaders
Anyone using generative AI regularly
Hands-on Activities
Learn by doing
Practical exercises you'll complete during the workshop.
Context and constraint challenge
Example-led prompting exercise
Task decomposition exercise
Structured output challenge
Prompt iteration lab
AI critique exercise
Reusable prompt template builder
You'll Leave With
Practical assets you can reuse
Prompt Engineering Quick Reference
Reusable Prompt Framework
Business Prompt Template Pack
Task Decomposition Template
Structured Output Patterns
Prompt Evaluation Checklist
Responsible Prompting Checklist
Personal Prompt Library
Certification
Certificate of completion
Certificate of participation is included with this workshop.
Instructor
Meet your instructor
Rajiv Goel
AI Transformation Leader and Microsoft Certified Trainer
Hands-on generative AI training and adoption experience focused on practical prompting, workflow design and business application.
FAQs
Common questions
Is this suitable for people who already use ChatGPT or Copilot?
Yes. It is designed to move users beyond basic prompting into more systematic techniques.
Do I need technical knowledge?
No. The workshop is practical and business focused.
Does it teach secret prompt formulas?
No. It teaches repeatable principles and patterns that make instructions clearer and outputs easier to evaluate.
Will the techniques work across tools?
Yes. Most techniques are transferable across leading generative AI assistants.
Do we cover chain-of-thought prompting?
The workshop focuses on safe, practical task decomposition, structured reasoning requests and verifiable outputs rather than relying on hidden model reasoning.
Will I write prompts during the session?
Yes. Most of the workshop is hands-on.
How do we handle inaccurate outputs?
You will practise verification, critique, iteration and quality checks.
Will I leave with templates?
Yes. You will build a reusable prompt library and receive structured prompt patterns.
