Certified Artificial Intelligence Manager (CAIM)
Lead AI initiatives end to end — strategy, governance, KPIs, and workflow automation with AI agents.
- Duration
- 5 Days
- Level
- Advanced
- Format
- Self-Study
- Exam
- Included
- Certification
- PECB
About this course
The PECB Certified Artificial Intelligence Manager (CAIM) training course prepares professionals to turn AI from isolated experiments into governed, measurable, and business-aligned capabilities. Rather than building models, AI managers coordinate people, processes, and platforms so AI solutions support strategic objectives, operate responsibly, and deliver sustainable value. The programme covers AI vision and roadmapping, opportunity assessment and selection, AI governance and policy implementation, data-driven decision-making with dashboards and KPIs, hands-on no-code labs using Power BI and n8n workflow automation, stakeholder communication and change management, plus risk, bias, and performance monitoring.
Learning objectives
- Define an AI vision and roadmap aligned with organizational goals
- Identify, assess, and prioritize AI use cases by value, feasibility, and risk
- Apply AI governance principles and policies for fairness, transparency, data security, and compliance
- Define KPIs and build decision-support dashboards with Power BI
- Design and supervise AI-driven workflows and agents in low/no-code environments such as n8n
- Monitor AI performance, detect issues such as bias, and coordinate corrective actions
Target audience
- AI project owners and programme managers
- Business leaders driving AI and digital transformation initiatives
- Risk, governance, and compliance professionals overseeing AI use
- Consultants advising organizations on AI adoption and management
Prerequisites
A general understanding of AI concepts and business management practices.