Do participants need prior AI experience?

No. Our training starts from the fundamentals and builds up. We've successfully trained teams with no prior AI experience to become confident, effective prompt engineers.

Which LLMs do you cover?

We primarily focus on ChatGPT (GPT-4), Claude, and Gemini, but the prompt engineering principles we teach apply across all major LLMs. We tailor the training to the tools your organisation uses.

Can the training be delivered remotely?

Yes. We offer both in-person and remote delivery. Our remote workshops are highly interactive with breakout sessions, live exercises, and screen sharing.

What's included in the custom prompt library?

A curated collection of tested prompt templates designed for your specific workflows, roles, and use cases. Each prompt includes instructions, examples, and tips for customisation.

How many people can attend each session?

Quick Start Workshops accommodate up to 15 participants for optimal hands-on learning. Comprehensive programmes can scale to larger teams through multiple cohorts.

LLM Prompt Engineering Training

Get better results from AI. Our practical, hands-on training teaches your team to write effective prompts that deliver consistent, high-quality outputs from ChatGPT and other LLMs.

Empower My Team

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AI Tools Are Useless Without the Right Prompts

Rolling out AI platforms like ChatGPT, Copilot, or Gemini doesn't automatically make a workforce more productive. Without training, staff end up frustrated, wasting time, and underusing tools that could transform their work. The truth is simple: if employees don't know how to write effective prompts, AI adoption will fail to deliver meaningful results.

Professional struggling with AI prompt results

Vague Prompts, Poor Results

Most employees type in simple, one-line queries — and get back generic, low-value outputs that don't solve their problems.

Inconsistent Standards

Every team invents their own prompting style, which leads to uneven adoption, duplication of effort, and no shared 'best practice.'

Wasted Time & Tokens

Trial-and-error prompts burn through valuable time and inflate AI usage costs, turning efficiency gains into inefficiencies.

Low Confidence & Engagement

When staff don't trust the results they get, they disengage from the tools entirely — creating wasted investment in unused licences.

Risk of Misuse

Untrained users can accidentally share sensitive data, introduce bias, or produce content that doesn't meet compliance standards.

Missed Productivity Gains

Without structured training, businesses leave untapped value on the table — faster reports, better content, smarter analysis — all sitting unused.

Our Prompt Engineering Training Programme

We transform everyday users into confident AI collaborators. Through hands-on workshops and role-specific exercises, employees learn how to write prompts that produce consistent, accurate, and valuable results. Instead of trial-and-error, your teams gain a repeatable skillset that maximises productivity and reduces risk.

Team learning prompt engineering techniques in a workshop

Quick Start Workshop

A half-day intensive workshop covering prompt fundamentals, best practices, and hands-on exercises with real business scenarios.

Comprehensive Training

Multi-session programmes with role-specific tracks for HR, marketing, finance, and operations teams.

Custom Prompt Library

A tailored collection of proven prompts and templates designed specifically for your organisation's workflows and use cases.

Ongoing Advisory

Quarterly refreshers and updates as LLM capabilities evolve, ensuring your team stays ahead of the curve.

From Learning to Everyday Application

Our Prompt Engineering Training is designed to move quickly from theory to practice. Each step builds confidence, reduces uncertainty, and equips your workforce with skills they can apply immediately in their day-to-day roles.

Needs Assessment

Day 1

We identify how your teams currently use (or could use) LLMs, understanding their roles, workflows, and pain points.

Foundations Training

Day 2-3

Core prompt engineering principles: context setting, instruction clarity, output formatting, chain-of-thought, and iterative refinement.

Role-Specific Workshops

Week 2

Tailored sessions for each department using real business scenarios — marketing copy, HR policies, financial analysis, operations workflows.

Prompt Library & Handover

Week 3

Delivery of your custom prompt library with documentation, best practice guides, and ongoing support resources.

What Your Workforce Gains from Prompt Engineering Training

Prompt engineering isn't about turning your staff into developers, it's about giving them the confidence, skills, and frameworks to get the best from AI tools. The results are immediate: more accurate outputs, faster task completion, and a workforce that sees AI as an everyday advantage.

Employees stop second-guessing and start trusting their ability to work with AI. They understand how to structure prompts, test variations, and refine outputs — making them confident, not cautious.