Certified Artificial Intelligence Manager – CAIM®

The Certified Artificial Intelligence Manager training course enables participants to acquire the necessary expertise to manage, govern, and implement AI strategies successfully within an organization. This course provides the essential framework for leaders to bridge the gap between complex technology and strategic business goals. It includes a broad range of domains from foundational AI concepts and global trends to advanced applications like data-driven decision-making with Power BI and workflow automation using AI agents. It also emphasizes responsible AI governance, including risk management, transparency, and compliance, ensuring participants are well prepared to oversee AI projects that deliver real business value. Importantly, this course focuses on utilizing intuitive, visual platforms, allowing professionals to implement powerful solutions without the need for technical programming expertise.

 

In today’s rapidly evolving AI-driven world, the ability to manage AI initiatives is a critical leadership skill. The Certified Artificial Intelligence Manager course is your gateway to turning AI’s technical potential into governed, measurable business results. This training moves beyond high-level strategy by equipping you with practical governance frameworks and hands-on skills to plan, monitor, and automate AI solutions effectively.

Throughout this program, you will gain hands-on experience with the complete AI life cycle using accessible, no-code environments. You will learn how to assess data readiness, govern AI systems with fairness, transparency, and risk awareness, and tell compelling stories with data using Power BI. You will also explore cutting-edge automation by building AI agents through visual interfaces such as n8n. This approach allows you to focus on logic, strategy, and business outcomes rather than writing code.

After attending the training course, you can take the exam. If you pass, you can apply for the “Certified Artificial Intelligence Manager” credential. Attaining this credential demonstrates your capability to lead with confidence. This distinction confirms your competence to align AI projects with company goals, interpret complex results through interactive dashboards, and ensure compliance with evolving regulations and internal policies.

Whether you are a project manager, business director, or compliance officer, this course will empower you to:

  • Align AI strategies with organizational objectives to maximize ROI
  • Govern AI projects by mitigating risks, ensuring fairness, and maintaining compliance
  • Visualize performance metrics using interactive Power BI dashboards for better decision-making
  • Automate routine workflows by designing and deploying AI agents through user-friendly interfaces

By joining this course, you are taking a significant step toward becoming a trusted authority in AI management and ensuring your organization harnesses the power of AI safely, effectively, and in line with its strategic goals.

Learning objectives

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

  • Explain how AI governance, leadership, and risk management intersect, and apply the findings to support compliant and responsible operations
  • Align AI initiatives with organizational goals and stakeholder requirements in a strategic way to ensure clear ownership and measurable outcomes
  • Evaluate and prioritize 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 to increase operational efficiency and consistency
  • Develop a structured communication and change management plan to support smooth AI adoption across teams and functions

Who should attend?

This training course is intended for:

  • AI project and product managers who are responsible for planning and delivering AI initiatives, need to strengthen their governance skills, and communicate outcomes clearly to stakeholders
  • Business leaders and program directors (including transformation leaders, COOs, and department directors) who oversee AI initiatives across cross-functional teams and must ensure that technology investments support business objectives
  • Risk, compliance, and governance officers who review AI use cases, handle AI risk assessments and transparency reports, and ensure that the organization complies with ethical guidelines, internal policies, and external regulations
  • Team leaders and managers in key industries (such as health care, finance, manufacturing, and public services) who work with vendors and internal teams to ensure that AI solutions deliver tangible measurable value
  • IT managers, consultants, and digital transformation professionals moving into AI leadership roles who require a comprehensive understanding of AI strategy, data readiness, governance, and automation tools

Prerequisites

There are no formal prerequisites for this training course. A general familiarity with business processes, data, or digital tools is helpful but not required.

Educational Approach

  • The course combines strategic concepts with practical application to ensure participants master both the “why” and the “how” of AI management.
  • Hands-on labs and workshops use visual, drag-and-drop environments so participants can build Power BI dashboards and n8n automation flows immediately, without writing code.
  • Participants are strongly encouraged to interact with one another, exchange ideas, and actively participate in discussions.

PECB offers various training course delivery formats, from traditional classroom settings to modern, technology-driven solutions. To learn more about these formats, please click here.

Day 1: Foundations of AI

The first day provides a comprehensive introduction to artificial intelligence and its role in modern organizations. Participants explore key AI concepts, including machine learning, generative AI, large language models, and common AI applications across industries. The day also covers AI terminology, opportunities, limitations, and practical considerations for implementing AI in business environments.

Day 2: AI Governance

Day two focuses on responsible and effective AI governance. Participants learn how to establish frameworks, policies, and controls that support the safe and ethical use of AI. Topics include regulatory requirements, risk management, transparency, accountability, data privacy, and emerging standards such as the EU AI Act. The day emphasizes how organizations can balance innovation with compliance and trust.

Day 3: Data-Driven Decision-Making & Power BI

This day explores how organizations can leverage data and analytics to improve decision-making. Participants learn key principles of data-driven management, data visualization, and performance monitoring. Through practical examples using Power BI, they gain insight into transforming data into meaningful business intelligence and creating dashboards that support strategic and operational decisions.

Day 4: AI Automation and N8N

The fourth day introduces workflow automation and the integration of AI into business processes. Participants learn how automation platforms such as N8N can streamline repetitive tasks, connect systems, and enhance productivity. The day includes practical examples of AI-powered workflows, process optimization, and no-code or low-code automation solutions that can be implemented across different business functions.

Day 5: Certification Exam

The final day is dedicated to certification preparation and examination. Participants review key concepts covered throughout the course and have the opportunity to clarify any remaining questions. The certification exam assesses knowledge of AI fundamentals, governance principles, data-driven decision-making, and AI automation practices, validating participants' ability to manage and support AI initiatives within an organization.

Exam

The “PECB Certified Artificial intelligence Manager” exam fully meets the PECB Examination and Certification Program (ECP) requirements. It covers the following competency domains:

Domain 1: AI foundations, strategy, and opportunity management
Domain 2: AI governance, policy, and risk management
Domain 3: Prompt Engineering, Decision intelligence and Power BI
Domain 4: Foundations of AI-driven automation
Domain 5: Generative AI and automation use cases

For specific information about the exam type, languages available, and other details, please visit the List of PECB Exams.

Certification

After passing the exam, you can apply for one of the credentials in the table below. You will receive a certificate once you fulfill all the requirements of the selected credential.

The certification requirements for PECB Certified Artificial Intelligence Manager are:

Credential Exam Professional experience Project experience Other requirements
PECB Certified Artificial Intelligence Provisional Manager PECB Certified Artificial Intelligence Manager exam None None Signing the PECB Code of Ethics
PECB Certified Artificial Intelligence Manager PECB Certified Artificial Intelligence Manager exam Five years: two years of artificial intelligence management experience None Signing the PECB Code of Ethics

The artificial intelligence management activities should follow best practices and include the following:

  1. Ensure every AI initiative is directly mapped to a specific business KPI rather than implementing solutions without clear strategic alignment.
  2. Establish comprehensive policies for data privacy, bias mitigation, and security compliance prior to deployment to ensure ethical and regulatory adherence.
  3. Prioritize data quality and governance as foundational prerequisites, while implementing continuous monitoring to manage model drift and ensure long-term system reliability.
  4. Drive adoption through targeted upskilling, transparent communication, and the definition of “Human-in-the-Loop” workflows to build trust and augment workforce capabilities.

For more information about the PECB certification process, please refer to Certification Rules and Policies.

Practical information

Duration: 5 days
Price: 27 900 NOK
Language: English
Format: Classroom, virtual classroom, or in-house delivery.

FAQ

Hva er Certified Artificial Intelligence Manager (CAIM)?

CAIM er et sertifiseringskurs som gir ledere og beslutningstakere en praktisk forståelse av kunstig intelligens, AI-governance, dataanalyse og automatisering. Kurset fokuserer på hvordan AI kan skape forretningsverdi og implementeres på en ansvarlig måte.

Må jeg ha teknisk bakgrunn for å delta?

Nei. Kurset er utviklet for ledere, prosjektledere, rådgivere og andre som ønsker å forstå hvordan AI kan brukes i virksomheten, uten at de nødvendigvis har programmeringsbakgrunn.

Hva lærer jeg om AI-governance?

Du lærer hvordan organisasjoner kan etablere retningslinjer, styringsmodeller og kontrollmekanismer for ansvarlig bruk av AI, inkludert risikohåndtering, compliance og regulatoriske krav.

Vil jeg få praktisk erfaring med AI-verktøy?

Ja. Kurset inkluderer praktiske øvelser innen dataanalyse, Power BI og automatisering med N8N, slik at du får erfaring med hvordan AI kan brukes i reelle arbeidsprosesser.

Må jeg kunne Power BI fra før?

Nei. Kurset introduserer sentrale konsepter innen datadrevet beslutningstaking og viser hvordan Power BI kan brukes til å visualisere og analysere data.

Hva er N8N, og hvorfor inngår det i kurset?

N8N er en plattform for automatisering av arbeidsprosesser. Gjennom kurset lærer du hvordan AI og automatisering kan kombineres for å effektivisere oppgaver og arbeidsflyter.

Er det en sertifiseringseksamen?

Ja. Kurset avsluttes med en sertifiseringseksamen som tester kunnskapen du har opparbeidet gjennom kursuken.

Hvilken sertifisering får jeg?
Etter bestått eksamen får du PECB Certified Artificial Intelligence Provisional Manager sertifiseringen. Det finnes også videre grader, avhengig av erfaring og kompetanse, se tabellen under sertifisering.

Får jeg ISO-standaren?
Nei, men du får tilgang til en lånestandar som du kan bruke under kurset og eksamen. 

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