Introduction to Generative AI
History of AI, scaling laws, competitive landscape, how LLMs work, key terminology every professional needs.
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.
"A failure to claim the 10X boost from AI feels decidedly like a skill issue."
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 do not 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.
Each module follows the TEA™ framework — twenty percent theory, twenty percent examples, sixty percent hands-on application on your own work scenarios.
History of AI, scaling laws, competitive landscape, how LLMs work, key terminology every professional needs.
Transformer architecture, tokens, context windows, temperature settings, comparing models, introduction to C.L.E.A.R.
Zero-shot, one-shot, few-shot, multi-shot prompting. Chain-of-thought and zero-shot CoT techniques.
Multi-step prompting, tree of thought, meta prompting, multi-modal prompting, agentic prompting.
Bias detection, privacy considerations, governance frameworks, responsible use guidelines, regulatory landscape.
Critical evaluation methods, identifying hallucinations, interpretability, quality benchmarks, building confidence.
AI for productivity, writing, data analysis, tables, notes, IT support, vibe coding, vibe flowcharting.
Team adoption strategies, organisational prompt libraries, integration planning, ROI measurement, change management.
Personal AI toolkit, maintaining prompt libraries, staying current, AI agents introduction, action planning.
Our signature methodology for structured AI prompting. Taught across every STOA programme, it works across any AI platform and any professional role.
Define the task clearly. Persona, format, and specificity markers.
Add context, constraints, and scope. Role, audience, tone, boundaries.
Show what good output looks like. Two to five references work best.
Evaluate the output critically before using it. Facts, tone, completeness.
Iterate through follow-up prompts. Two to three rounds is normal.
"You have given me a different perspective on what AI is."
Open-enrolment dates below. Need a private session for your team? Schedule a TNA call — custom proposal within 48 hours, delivery in as little as three weeks.
No vendor lock-in, no paywalled materials. Every delegate leaves with the working files, the templates, and the post-programme support to actually use them.
8 – 12 tested prompts built during the session on your actual work scenarios.
Dashboards, workflow templates, and evaluation frameworks ready to use.
Full soft copy of all session materials, handouts, and reference guides.
Certificate of Completion plus a guided pathway to the Google AI certificate.
Post-programme Q&A availability and implementation guidance.
Access to updated prompt libraries and resources as AI tools evolve.
Delivered at your offices or venue. Maximum engagement for teams of 8 – 25 participants. All exercises use your team's actual work scenarios.
Real-time delivery via Zoom, Meet, or Teams. Interactive breakout rooms, same content depth as in-person. Ideal for distributed teams.
Combine in-person and virtual sessions. Flexible scheduling across time zones. Pre-work materials and follow-up resources included.
Join the next open session or book a private programme for your team. Custom proposal within 48 hours. Delivery in as little as three weeks.