The PECB Certified Artificial Intelligence Manager (CAIM) certification validates the ability to govern, manage, and deploy AI initiatives at an organizational level. The 4-day program covers AI strategy, governance frameworks, risk and compliance, prompt engineering, Power BI decision dashboards, and workflow automation using AI agents in no-code tools.
The PECB Certified Artificial Intelligence Manager (CAIM) certification validates the ability to govern, manage, and deploy AI initiatives at an organizational level. It covers the full AI management lifecycle from use case evaluation to governance and automation.
The 4-day program covers five exam domains: AI foundations, strategy, and opportunity management; AI governance, policy, and risk management; prompt engineering, decision intelligence, and Power BI; foundations of AI-driven automation; and generative AI and automation use cases.
The exam is 3 hours, multiple-choice, with a 70% passing score. Certification is valid for 3 years with annual maintenance and is issued by PECB. Unlike technical AI certifications, CAIM focuses on governance and business outcomes, not coding.
Organizations that deploy AI tools without governance infrastructure consistently encounter the same three problems: scope creep in AI projects, inability to demonstrate ROI to boards, and compliance exposure when regulators request accountability documentation. CAIM addresses all three through a structured management framework built on real deliverables — not conceptual awareness alone.
Well-prepared CAIM candidates arrive with a real AI initiative they are responsible for managing. They use the four days to build governance documentation, KPI dashboards, and accountability structures for that actual project — not a hypothetical. That applied work is also what the exam scenario questions test, making the preparation directly transferable.
The CAIM course is designed for AI project managers tracking governance and business value, business leaders aligning AI initiatives with organizational objectives, and risk and compliance officers assessing AI use cases. The focus is on governance and business outcomes — not coding.
byGerhard ROTTER
The CAIM exam tests across five domains: AI foundations and strategy, AI governance and risk management, prompt engineering and Power BI, AI-driven automation, and generative AI use cases. The exam is 3 hours, multiple-choice, and requires a 70% passing score.
byGerhard ROTTER
CAIM focuses on managing AI projects and building governance frameworks from a business and operational perspective — it suits managers who govern AI use across an organization. ISO 42001 Lead Implementer focuses on building and certifying a formal AI Management System aligned with the ISO 42001 standard.
byAlexis HIRSCHHORN
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