Core Programme

Generative AI in Prompt Engineering

From AI fundamentals through to advanced prompt engineering and real-world application. Participants leave with a personal prompt library, tested workflows, and the C.L.E.A.R. framework mastered on their own work scenarios.

  • 9 Modules
  • 60%+ Hands-On
  • 1-2 Days
  • All Levels
  • STOA Certified
Request Brochure
Schedule TNA Call

“You have given me a different perspective on what AI is”.

Ali Razza, Data Manager at Volkswagen Group

Next Session
April 14-15, 2026
8 seats remaining
Register Now
$1,299
per participant · includes all materials + certificate​
Programme Overview

What This Programme Covers

 This programme takes participants from AI fundamentals through to advanced prompt engineering and real-world application. It combines the history and science behind generative AI with practical, hands-on skills that drive immediate workplace productivity.

Every module follows the TEA delivery framework: Theory, Examples, Application. Participants don’t just learn concepts. They practise them on their actual work during the session.

By the end, every participant has a personal prompt library of 15-20 tested prompts for their specific role, hands-on experience across multiple AI platforms, and the confidence to evaluate AI output quality for any task.

Who Should Attend

  • Professionals across all departments and functions
  • Team leads and managers driving AI adoption
  • L&D professionals building AI capability
  • Anyone who wants to use AI effectively at work
  • No technical background required

Learning Outcomes

  • Master the C.L.E.A.R. prompt engineering framework
  • Build a personal prompt library for your role
  • Evaluate AI outputs for accuracy, bias, and quality
  • Apply advanced techniques: CoT, few-shot, multi-step
  • Leave with tested workflows you use from day one
Programme Overview
9 Modules. 60%+ Hands-On.

MODULE 01

Introduction to Generative AI
History of AI, scaling laws, competitive landscape, how LLMs work, key terminology every professional needs.

MODULE 02

Foundations of Generative AI
Transformer architecture, tokens, context windows, temperature settings, comparing models, introduction to C.L.E.A.R.

MODULE 03

Advanced Prompt Engineering Techniques
Zero-shot, one-shot, few-shot, multi-shot prompting. Chain-of-thought and zero-shot CoT techniques.

MODULE 04

Advanced Prompt Strategies
Multi-step prompting, tree of thought, meta prompting, multi-modal prompting, agentic prompting.

MODULE 05

Ethical AI & Responsible Prompt Engineering
Bias detection, privacy considerations, governance frameworks, responsible use guidelines, regulatory landscape.

MODULE 06

Evaluating AI Outputs
Critical evaluation methods, identifying hallucinations, interpretability, quality benchmarks, building confidence.

MODULE 07

Use Cases & Applications
AI for productivity, writing, data analysis, tables, notes, IT support, vibe coding, vibe flowcharting.

MODULE 08

Scaling Generative AI
Team adoption strategies, organisational prompt libraries, integration planning, ROI measurement, change management.

MODULE 09

Operationalising & Future-Proofing
Personal AI toolkit, maintaining prompt libraries, staying current, AI agents introduction, action planning.
Request Brochure
Schedule TNA Call
Proprietary Framework
The C.L.E.A.R. Prompt Engineering Framework
Our signature framework taught across all programmes. A structured approach to crafting effective prompts that work across any AI platform.

C

Command
Set the stage with background, role, and situational information

L

Layer
Use precise, specific terminology and clear instructions

E

Examples
Define the desired output format, length, and style

A

Asses
Specify exactly what the AI should do step by step

R

Refine
Iterate systematically to improve and perfect outputs

MODULE 04

Asses
Multi-step prompting, tree of thought, meta prompting, multi-modal prompting, agentic prompting.

MODULE 05

Asses
Bias detection, privacy considerations, governance frameworks, responsible use guidelines, regulatory landscape.

MODULE 06

Evaluating AI Outputs
Critical evaluation methods, identifying hallucinations, interpretability, quality benchmarks, building confidence.
Request Brochure
Schedule TNA Call
Proprietary Framework
The C.L.E.A.R. Prompt Engineering Framework
Our signature framework taught across all programmes. A structured approach to crafting effective prompts that work across any AI platform.

C

Command
Set the stage with background, role, and situational information

L

Layer
Use precise, specific terminology and clear instructions

E

Examples
Define the desired output format, length, and style

A

Asses
Specify exactly what the AI should do step by step

R

Refine
Iterate systematically to improve and perfect outputs

MODULE 04

Asses
Multi-step prompting, tree of thought, meta prompting, multi-modal prompting, agentic prompting.

MODULE 05

Asses
Bias detection, privacy considerations, governance frameworks, responsible use guidelines, regulatory landscape.

MODULE 06

Evaluating AI Outputs
Critical evaluation methods, identifying hallucinations, interpretability, quality benchmarks, building confidence.

MODULE 04

Asses
Multi-step prompting, tree of thought, meta prompting, multi-modal prompting, agentic prompting.

MODULE 05

Asses
Bias detection, privacy considerations, governance frameworks, responsible use guidelines, regulatory landscape.

MODULE 06

Evaluating AI Outputs
Critical evaluation methods, identifying hallucinations, interpretability, quality benchmarks, building confidence.
Request Brochure
Schedule TNA Call
Upcoming Sessions
Choose Your Date
Live Online ● 2 Days
April 14-15, 2026
8 seats remaining

per participant​

$1,299

MODULE 02

April 14-15, 2026​
Live Online · 2 Days
8 seats remaining
$1,299
8 seats remaining

April 14-15, 2026​

Live Online · 2 Days

$1,299
per delegate
Register

MODULE 06

Evaluating AI Outputs
Critical evaluation methods, identifying hallucinations, interpretability, quality benchmarks, building confidence.

MODULE 07

Use Cases & Applications
AI for productivity, writing, data analysis, tables, notes, IT support, vibe coding, vibe flowcharting.
Register

MODULE 08

Scaling Generative AI
Team adoption strategies, organisational prompt libraries, integration planning, ROI measurement, change management.

MODULE 09

Operationalising & Future-Proofing
Personal AI toolkit, maintaining prompt libraries, staying current, AI agents introduction, action planning.
Schedule TNA Call
What Every Participant Gets
You Keep Everything

Personal Prompt Library

8-12 tested prompts built during the session on your actual work scenarios

Templates & Dashboards

Dashboards, workflow templates, and evaluation frameworks ready to use

Learning Materials

Full soft copy of all session materials, handouts, and reference guides

STOA Certificate

Certificate of Completion plus guided pathway to Google AI certificate

30-Day Support

Post-programme Q&A availability and implementation guidance

Lifetime Updates

Access to updated prompt libraries and resources as AI tools evolve
Request Brochure
Schedule TNA Call
Delivery Options
Choose How Your Team Learns
In-Person
Instructor-Led On-Site

Delivered at your offices or venue. Maximum engagement for teams of 8-25 participants. All exercises use your team’s actual work scenarios.

Live Online
Virtual Instructor-Led

Real-time delivery via Zoom, Meet or Teams. Interactive breakout rooms, same content depth as in-person. Ideal for distributed teams.

Hybrid
Blended Approach

Combine in-person and virtual sessions. Flexible scheduling across time zones. Pre-work materials and follow-up resources included.

Request Brochure
Schedule TNA Call
Ready to Start
Give Your Team the AI Skills That Actually Stick

Join the next open session or book a private programme for your team. Custom proposal within 48 hours. Delivery in as little as 3 weeks.

Discuss Your Training Needs

C

Command
Set the stage with background, role, and situational information

L

Layer
Use precise, specific terminology and clear instructions

E

Examples
Define the desired output format, length, and style

A

Asses
Specify exactly what the AI should do step by step

R

Refine
Iterate systematically to improve and perfect outputs

MODULE 04

Asses
Multi-step prompting, tree of thought, meta prompting, multi-modal prompting, agentic prompting.

MODULE 05

Asses
Bias detection, privacy considerations, governance frameworks, responsible use guidelines, regulatory landscape.

MODULE 06

Evaluating AI Outputs
Critical evaluation methods, identifying hallucinations, interpretability, quality benchmarks, building confidence.

MODULE 04

Asses
Multi-step prompting, tree of thought, meta prompting, multi-modal prompting, agentic prompting.

MODULE 05

Asses
Bias detection, privacy considerations, governance frameworks, responsible use guidelines, regulatory landscape.

MODULE 06

Evaluating AI Outputs
Critical evaluation methods, identifying hallucinations, interpretability, quality benchmarks, building confidence.
Schedule TNA Call