Certified AI Manager

Artificial Intelligence is rapidly transforming organisations, but successful AI adoption requires more than technology alone. It requires leadership, governance and the ability to align AI initiatives with strategic business objectives.

The Certified AI Manager (CAIM) is an intensive two-day certification training that equips managers, business leaders and AI professionals with the knowledge and practical skills to manage AI initiatives responsibly and effectively. Based on internationally recognised PECB best practices, the course covers AI strategy, governance, risk management, decision intelligence and AI-enabled automation. Participants will learn how to maximise business value while ensuring fairness, transparency, compliance and responsible AI adoption. Upon completion of the training, participants are fully prepared to take the official PECB Certified AI Manager examination.

By the end of this training, participants will be able to:

[ Bridge strategy and execution: Learn how to translate AI ambitions into governed, measurable business outcomes. ]

[ Manage AI responsibly: Build practical expertise in AI governance, ethics, transparency, compliance and risk management. ]

[ Establish effective AI governance by addressing ethics, transparency, fairness, security and AI risk management. ]

[ Understand AI automation, Generative AI and AI agents, and learn how AI can streamline business processes through modern no-code automation platforms. ]

Full programme information

The Certified AI Manager is delivered as an intensive two-day training programme, structured around four integrated learning modules. These modules combine theory, practical exercises and real-world business cases to prepare participants for both professional AI management and the official PECB certification exam.

Module 1 – AI Foundations & Strategic AI Management

AI fundamentals and current AI landscape
AI capabilities and global trends
Strategic value of Artificial Intelligence
Aligning AI initiatives with business objectives
Identifying and prioritising AI opportunities
Data readiness and organisational preparedness
Managing AI projects throughout the AI lifecycle

Outcome: Participants learn how to identify valuable AI opportunities, align AI initiatives with organisational strategy and successfully manage AI projects from concept to implementation.

Module 2 – AI Governance, Ethics & Risk Management

AI governance principles
AI policies and governance frameworks
Fairness and bias mitigation
Transparency and explainability
Data security and privacy considerations
AI risk management
Prompt Engineering fundamentals

Outcome: Participants gain the knowledge required to establish trustworthy AI governance practices while ensuring responsible, transparent and compliant AI deployment.

Module 3 – Data-Driven Decision Intelligence

Decision-making frameworks
Defining KPIs for AI initiatives
Understanding business data
Data storytelling techniques
Introduction to the Power BI ecosystem
Data analysis using Power BI

Outcome: Participants learn how to transform organisational data into actionable insights through effective visualisation, performance measurement and executive reporting.

Module 4 – AI Automation & Generative AI

Foundations of Generative AI and Large Language Models
AI agents and intelligent automation
Retrieval-Augmented Generation (RAG)
AI automation architectures
AI governance within automated environments
Introduction to n8n
Building AI-powered automated workflows

Outcome: Participants understand how AI automation and AI agents can improve operational efficiency while maintaining governance, oversight and business control.

Certification Exam

Following the training, participants can take the official PECB Certified AI Manager examination, covering:

AI foundations, strategy and opportunity management
AI governance, policy and risk management
Prompt Engineering, Decision Intelligence and Power BI
AI-driven automation
Generative AI and automation use cases

Outcome: Successful participants demonstrate the competence required to lead AI initiatives responsibly and earn the internationally recognised PECB Certified AI Manager (CAIM) credential.

ADDED VALUE

Bridge strategy and execution: Learn how to translate AI ambitions into governed, measurable business outcomes.

Manage AI responsibly: Build practical expertise in AI governance, ethics, transparency, compliance and risk management.

Drive data-driven decisions: Use KPIs, dashboards and business intelligence techniques to support executive decision-making.

Explore the future of AI automation: Gain hands-on insight into Generative AI, AI agents and modern no-code automation platforms.

Earn an internationally recognised certification: Prepare for the official PECB Certified AI Manager (CAIM) certification and demonstrate your capability to lead AI initiatives with confidence.