This two-day programme is built for marketing teams that want to use generative AI across the whole marketing workflow: audience segmentation and customer insight, creative and campaign content, marketing automation, and performance reporting. It uses the AI tools the team already works with (ChatGPT, Claude, Gemini, Microsoft Copilot) alongside specialist tools for image, video and market intelligence, and it treats prompting technique, tool selection and output verification as the working skills of a marketing team.
Day one opens with foundations and prompting technique, so that the whole team works from the same base, then moves into audience segmentation and customer insight, design and creative content, social media and video content, and marketing data management. Day two turns to the commercial side: campaign planning and personalisation, lead generation and sales enablement, marketing automation built in the lab, performance analytics and market intelligence, and a briefing on Generative Engine Optimization (GEO). Every module follows the same rhythm: short theory, a live demonstration, then hands-on application on participants' own marketing scenarios, so each technique is practised the day it is introduced.
The lab runs in a pre-configured cloud environment opened from a browser, with no software to install, and each participant builds a customer segmentation and campaign copy automation that is verified against fixed acceptance criteria. Participants leave with a team prompt library, draft assets and templates produced during the exercises, a tool-selection map matched to their tasks, the working automation, and a ninety-day plan for embedding AI in their marketing workflow. The programme closes with a look at where the field is heading: agentic AI, where AI systems carry entire marketing workflows end to end, together with context engineering, retrieval-augmented generation and the Model Context Protocol.