This two-day programme is built for professionals across every business function who work with generative AI tools such as ChatGPT, Claude, Microsoft Copilot and Gemini. The quality of what these tools produce depends directly on the quality of the instructions they are given. Prompt engineering is the discipline of structuring those instructions so that AI produces relevant, production-ready results. It is the first of STOA's three core programmes and Module I of the Certified Enterprise AI Leader certification.
Day one opens with the foundations of generative AI: the history of the field and its scaling laws, how large language models work, tokens, context windows and model settings, and where the leading models differ. Participants then learn the C.L.E.A.R. prompt engineering framework and practise the core techniques of K-shot and chain-of-thought prompting on their own work tasks, before moving on to advanced strategies: multi-step, tree-of-thought, meta and multi-modal prompting. Day two covers structured evaluation of AI outputs and responsible use, applied use cases across writing, data analysis, documentation and IT support, agentic prompting and reusable agent skills, and closes with scaling generative AI across a team and the capstone action plan.
By the end of the programme, participants have a personal prompt library of tested prompts for their role, a set of saved, reusable agent skills that work across AI platforms, and a ninety-day action plan for applying generative AI in their daily work. They leave prepared for the next phase of AI at work: agentic AI, where a system is given a goal and plans and carries out the multi-step work itself, with context engineering, retrieval-augmented generation and the Model Context Protocol behind it.
Who should attend
This programme is designed for executives, directors, managers, team leaders and professionals across every business function who want to apply prompt engineering to their day-to-day work:
- Directors, managers and team leads in HR, finance, sales, marketing, customer support and operations
- Business analysts, data analysts and reporting specialists
- Project managers, programme managers and PMO staff
- Learning and development managers, HR business partners and internal trainers
- IT service desk, support and helpdesk teams
- Executive assistants, office managers and administration teams
