The Certified Enterprise AI Leader is STOA's certification for the people accountable for AI in their organisation. It is built from the three core programmes, Generative AI and Prompt Engineering, AI Strategy and Governance, and Agentic AI and Intelligent Automation, taken in sequence as one path, and it assesses each of the three. Enterprise AI leadership calls for three capabilities in one person: using AI well in their own work, setting the strategy and the governance under which the organisation uses it, and specifying, building and judging the AI agents that will carry work. The certification builds and assesses all three.
Pillar 1, Use AI (days one and two), opens with the foundations of generative AI, how large language models work and where the leading models differ, then the C.L.E.A.R. prompt engineering framework, K-shot and chain-of-thought prompting, and the advanced strategies of multi-step, tree-of-thought, meta and multi-modal prompting. Day two covers evaluation of AI output and responsible use, use cases across the working day, agentic prompting and reusable agent skills, and adoption at team scale; it closes with the practitioner assessment. Pillar 2, Lead AI (days three and four), moves to the executive agenda: what leaders need to know about AI, the AI vision and value mapping, the opportunity matrix, ethics, regulation and risk, the business case and ROI, then managing AI projects and vendors, the governance operating model, people and change, and future trends; it closes with each participant presenting their enterprise AI strategy proposal and 12-month roadmap for the strategy assessment. Pillar 3, Build AI (day five), takes participants from agentic patterns and an agent build on a visual canvas, through observability, evaluation and guardrails and the AI Review Board, to the capstone: an agent built in Codespaces on a use case from their own function and defended before a peer-review and governance panel. The eight function labs and the observability track of the five-day Agentic AI and Intelligent Automation programme extend this pillar for participants who want the full build path.
The CEAL certification is assessed in three components, one per pillar. Every lab runs in a pre-configured cloud environment opened from a browser, with no software to install, and participants choose a visual build track or a coding-agent track. Participants graduate with the CEAL certification, a personal prompt library and reusable agent skills, an enterprise AI strategy proposal and 12-month roadmap, an AI governance policy draft, a board-ready ROI case, a working agent built and defended in the capstone, and a ninety-day plan. The programme closes on where agentic AI is heading: context engineering, loop and graph engineering, agentic retrieval-augmented generation, the Model Context Protocol and computer-use agents.
