AI Manager
PECB Certified Artificial Intelligence Manager (CAIM)
2026 edition
Self-paced PECB training delivered via myPECB.
Global training partner Aegentra is an official PECB authorised training partner and an official CompTIA partner.
PECB’s own AI leadership credential, and a deliberately practical one. Five days covering the AI life cycle in no-code environments: assessing data readiness, governing AI systems for fairness, transparency and risk, building interactive dashboards in Power BI, and orchestrating AI agents in n8n. The emphasis is on logic, strategy, and business outcomes rather than writing code — which is what separates it from an ISO management-system course. Concludes with the official PECB certifying exam.
- Typical study effort
- 35–45 hours
- CPD credits
- 31
- Course languages
- English
Who it is for
- AI project and product managers planning and delivering AI initiatives
- Business leaders and program directors — transformation leaders, COOs, and department directors — overseeing AI across cross-functional teams
- Risk, compliance, and governance officers reviewing AI use cases, risk assessments, and transparency reports
- Team leaders and managers in health care, finance, manufacturing, and public services working with vendors on AI solutions
- IT managers, consultants, and digital transformation professionals moving into AI leadership roles
What you will learn
- Explain how AI governance, leadership, and risk management intersect, and apply the findings to support compliant and responsible operations.
- Align AI initiatives with organisational goals and stakeholder requirements to ensure clear ownership and measurable outcomes.
- Evaluate and prioritise AI opportunities using simple assessment tools to identify high-value, feasible projects.
- Design and implement interactive dashboards in Power BI.
- Create automated workflows by building and orchestrating AI agents directly in n8n.
- Develop a structured communication and change management plan to support AI adoption across teams and functions.
Course content
Day 1 — Foundations of AI
- AI fundamentals
- AI capabilities and global trends
- Strategic value and business alignment
- Identifying and prioritising AI opportunities
- Data readiness and organisational foundations
- Managing AI projects
Day 2 — AI governance
- AI governance foundations
- AI policy
- Fairness and bias in AI
- Transparency and explainability
- Data security
- Risk management
- Prompt engineering lab
Day 3 — Data-driven decision-making and Power BI
- The anatomy of a decision
- Asking the right questions and defining KPIs
- Understanding your data and business patterns
- Data storytelling principles
- Introduction to the Power BI ecosystem
- Data analysis with Power BI lab
Day 4 — AI automation and n8n
- GenAI and LLM fundamentals
- Architectures, agents, and patterns of AI automation
- Data, knowledge, and RAG
- Delivering, governing, and leading AI automation
- Introduction to the n8n ecosystem
- AI automation with n8n lab
Day 5 — Certification exam
- PECB Certified Artificial Intelligence Manager exam
- Three hours across the five competency domains
Prerequisites
- None technical — the labs run in no-code environments, so no programming background is assumed.
- Some exposure to managing projects or governance processes will make the strategy and change-management material land faster.
The exam
- Format
- Open-book, multiple-choice
- Duration
- 3 hours
- Questions
- 80 multiple-choice questions in the current English PECB examination record
- Pass mark
- 70%
What is included
Course materials
- PECB Certified Artificial Intelligence Manager slide deck (digital)
- Over 300 pages of training material, practical examples, exercises, and quizzes
- 12 months access via myPECB
- Attestation of course completion worth 31 CPD credits
Exam package
- Certificate and examination fees included in the course price
- Three-hour exam across five competency domains
- First exam attempt plus one free retake within 12 months
- PECB Certified Artificial Intelligence Manager credential on pass
Hands-on labs
- Prompt engineering lab
- Data analysis and dashboard build in Power BI
- AI agent orchestration in n8n
- No-code throughout — no programming background required