- Duration: 5 days
Course Overview
The PECB Certified Artificial Intelligence Manager (CAIM) training course equips professionals with the knowledge and practical skills required to manage, govern, and scale AI initiatives in alignment with organizational objectives, recognized frameworks, responsible AI principles, and business priorities.
As artificial intelligence continues to transform business operations, effective AI management requires more than technical knowledge. Organizations need professionals who can identify valuable AI opportunities, assess data readiness, manage AI-related risks, establish governance policies, and translate AI investments into measurable business outcomes.
This five-day training program combines AI strategy and governance with practical, no-code activities. Participants will explore AI fundamentals, responsible AI practices, risk management, prompt engineering, data-driven decision-making, and interactive dashboard development using Microsoft Power BI. The course also introduces AI-driven workflow automation, including the design and orchestration of AI agents through visual automation platforms such as n8n.
Upon completion of the training and successful completion of the examination, participants can apply for the PECB Certified Artificial Intelligence Manager (CAIM) credential, subject to the applicable certification requirements.
Learning Objectives
By the end of this training course, participants will be able to:
- Explain the relationship between AI governance, leadership, strategy, and risk management to support responsible and compliant AI operations.
- Align AI initiatives with organizational objectives, stakeholder expectations, and measurable business outcomes.
- Assess and prioritize AI opportunities based on business value, feasibility, and organizational readiness.
- Evaluate data readiness and identify the foundational requirements for successful AI implementation.
- Develop AI governance policies and address fairness, bias, transparency, explainability, data security, and risk management.
- Apply prompt engineering techniques to improve interactions with generative AI systems.
- Define key performance indicators (KPIs), interpret business data, and develop interactive dashboards using Microsoft Power BI.
- Design and orchestrate AI-driven automated workflows and agents using n8n.
- Develop communication and change management approaches that support effective AI adoption across teams and business functions.
Target Audience
This training course is intended for:
- AI Project and Product Managers responsible for planning, coordinating, and delivering AI initiatives while strengthening governance and stakeholder communication.
- Business Leaders and Program Directors overseeing AI investments, digital transformation initiatives, and cross-functional programs.
- Risk, Compliance, and Governance Officers responsible for AI risk assessments, transparency, ethical practices, internal policies, and regulatory compliance.
- Department Heads and Team Leaders in industries such as healthcare, finance, manufacturing, and public services who oversee AI adoption and business performance.
- IT Managers and Consultants seeking to develop expertise in AI strategy, governance, data readiness, and automation.
- Digital Transformation Professionals moving into AI leadership roles and seeking to align emerging technologies with organizational priorities.
Course Content
Day 1: Foundations of Artificial Intelligence
- AI Fundamentals
- AI Capabilities and Global Trends
- Strategic Value and Business Alignment
- Identifying and Prioritizing AI Opportunities
- Data Readiness and Organizational Foundations
- Managing AI Projects
Day 2: AI Governance
- AI Governance Foundations
- AI Policy Development
- Fairness and Bias in AI
- Transparency and Explainability
- Data Security
- AI Risk Management
- Practical Lab: Prompt Engineering
Day 3: Data-Driven Decision-Making and Power BI
- The Anatomy of a Decision
- Asking the Right Questions and Defining KPIs
- Understanding Data and Business Patterns
- Data Storytelling Principles
- Introduction to the Power BI Ecosystem
- Practical Lab: Data Analysis with Power BI
Day 4: AI Automation and n8n
- Generative AI and Large Language Model (LLM) Fundamentals
- Architectures, AI Agents, and AI Automation Patterns
- Data, Knowledge, and Retrieval-Augmented Generation (RAG)
- Delivering, Governing, and Leading AI Automation
- Introduction to the n8n Ecosystem
- Practical Lab: AI Automation with n8n
Day 5: Certification Examination
- Review of key course concepts
- Preparation for the certification examination
- PECB Certified Artificial Intelligence Manager examination
Examination and Certification
The PECB Certified Artificial Intelligence Manager examination is designed to assess participants’ knowledge and competencies in AI management, strategy, governance, decision intelligence, and automation.
Examination duration: 3 hours
The examination covers the following competency 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
- Generative AI and Automation Use Cases
The examination complies with the PECB Examination and Certification Program (ECP) requirements. Information regarding examination formats, available languages, and applicable examination rules is provided by PECB.
Certification Requirements
Candidates who successfully pass the examination can apply for one of the following credentials, subject to meeting the relevant certification requirements.
- PECB Certified Provisional Artificial Intelligence Manager
- Examination: PECB Certified Artificial Intelligence Manager examination or equivalent.
- Professional Experience: No professional experience required.
- Project Experience: No project experience required.
- Other Requirements: Signing the PECB Code of Ethics.
- PECB Certified Artificial Intelligence Manager (CAIM)
- Examination: PECB Certified Artificial Intelligence Manager examination or equivalent.
- Professional Experience: Five years of professional experience, including two years of work experience in artificial intelligence.
- Project Experience: 300 hours of project experience.
- Other Requirements: Signing the PECB Code of Ethics.
A certificate is issued after the candidate fulfils all applicable requirements for the selected credential.
Course Benefits
By completing this training course, participants will be better equipped to:
- Drive AI Strategy: Align AI initiatives with business objectives and prioritize opportunities that deliver measurable value.
- Strengthen AI Governance: Establish responsible practices addressing fairness, transparency, security, compliance, and risk.
- Improve Decision-Making: Use data analysis, KPIs, and Power BI dashboards to support evidence-based business decisions.
- Automate Business Processes: Explore AI agents and workflow automation through accessible visual interfaces.
- Support Organizational Change: Develop communication and adoption strategies to help teams integrate AI into their operations.
- Demonstrate Professional Competence: Pursue a PECB certification that reflects verified knowledge of AI management, subject to the applicable requirements.
Training Materials and CPD Credits
- Training Materials: Participants receive more than 300 pages of comprehensive course materials, including practical examples, exercises, and quizzes.
- CPD Credits: Participants who complete the training course receive an attestation of course completion worth 31 Continuing Professional Development (CPD) credits.
- Examination and Certification Fees: Included in the training course price.
- Examination Retake: Participants who attend the course through a PECB partner and fail their first examination attempt are eligible for one free retake within 12 months of the course completion date, subject to PECB’s applicable rules. Additional fees may apply outside these conditions.
Prerequisites
No specific prerequisite qualifications or prior professional experience are stated for attending this training course. A general understanding of business operations, digital transformation, or AI applications may help participants relate the course concepts to their professional responsibilities.
Certification Body
PECB (Professional Evaluation and Certification Board)
PECB provides professional training, examination, and certification services across management systems, governance, risk, compliance, and emerging technology disciplines.