Develop the management skills to turn AI initiatives into governed, measurable, and business-aligned results.

Successful AI adoption requires more than technology. Organizations need leaders who can identify the right AI opportunities, connect initiatives to business objectives, establish governance, measure performance, and coordinate implementation across technical and business teams.

CAIM provides a practical framework for managing AI from strategy through execution without requiring programming expertise.

  • Why get trained: Learn to manage AI strategy, governance, performance, decision intelligence, and automation while applying practical tools such as Power BI and n8n
  • Why it matters: Strong AI management connects investment to measurable business value while addressing risk, accountability, transparency, security, and compliance
  • Who should attend: Managers, business leaders, project owners, consultants, and governance or compliance professionals responsible for AI initiatives

Build the practical management skills to lead responsible AI initiatives, measure business value, and move AI projects from strategy into execution. HRD Corp Claimable.

Overview

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.

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.

Skills Covered

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.

Target Audience

This training course is intended for:

  • Professionals responsible for identifying, assessing, and managing AI-related risks within their organizations
  • IT and security professionals seeking expertise in AI risk management
  • Data scientists, data engineers, and AI developers working on AI system design, deployment, and maintenance
  • Consultants advising organizations on AI risk management and mitigation strategies
  • Legal and ethical advisors specializing in AI regulations, compliance, and societal impacts
  • Managers and leaders overseeing AI implementation projects and ensuring responsible AI adoption
  • Executives and decision-makers aiming to understand and address AI-related risks at a strategic level

Course Curriculum

Day 1: Foundations of AI

  • 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
  • Fairness and Bias in AI
  • Transparency & Explainability
  • Data Security
  • Risk Management
  • Prompt Engineering Lab

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

  • The Anatomy of a Decision
  • Asking the right questions & Defining KPIs
  • Understanding Your Data & Business Patterns
  • Data Storytelling Principles
  • Intro to Power BI Ecosystem
  • Data Analysis with Power BI Lab

Day 4: AI Automation and N8N

  • GenAI & LLM Fundamentals
  • Architectures, Agents & Patterns of AI Automation
  • Data, Knowledge & RAG
  • Delivering, Governing & Leading AI Automation
  • Intro to n8n Ecosystem
  • AI Automation with n8n Lab

Day 5: Certification exam

 

Dates & Locations

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Exam & Certification

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 and Exam Rules and Policies.

Training & Certification Guide

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.

  • Certificate and examination fees are included in the price of the training course.
  • Participants will receive more than 300 pages of comprehensive training materials, including practical examples, exercises, and quizzes.
  • Participants who have attended the training course will receive an attestation of course completion worth 31 CPD (Continuing Professional Development) credits.
  • Candidates who have completed the training course with one of our partners and failed the first exam attempt are eligible to retake for free the exam within a 12-month period from the course completion date, because the fee paid for the training course includes a first exam attempt and one retake. Otherwise, retake fees apply.

For more information, please get in touch with us at [email protected] or visit https://pecb.com/.

Why train with Trainocate

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.

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