CAIM Certifed AI Manager Manchester UK

PECB Accredited Certification

Lean Production Games

Developed by MTa Leaning, a world leader in interactive learning tools, Lean Production Games are incorporated into all of our trainings and designed to accelerate process improvement and promote a Lean culture in your organization. The Lean Production Games provide a dynamic experiential learning experience, which help to supplement and embed the knowledge gained from the trainer. The design of the activities and the participants’ workbooks structure the learning through 5 phases. The activity and support materials are designed to take the participants through a structured approach to learning that includes:
  • Activity
  • Review to develop learning
  • Implementation of learning

Phase 1 : Specifications and Quality through eyes of the customer

Example learning points to look for in phase 1:

  • Efficient layouts
  • Understanding product specifications
  • Definition of product quality
  • Dealing with surplus materials

An example question from the phase 1 review sheet:

  • Would it have helped if you had discussed business or order processing issues with the customer? If so, what would you want to achieve from these discussions?

Phase 2 : Waste and Batch Production

Example learning points to look for in phase 2:

  • Communicating with the customer
  • Effective location and storage of components
  • Problems with batch production and high WIP
  • Internal communications
  • Understanding priorities

An example question from the phase 2 review sheet:

  • There is likely to have been a lot of waste during phase 2. What was wasted or caused the waste?

Phase 3 : Pull and Visual Management

Example learning points to look for in phase 3:

  • Process design for market requirements
  • Use of visual displays and pull systems
  • Benefits of shorter lead times
  • Overall capacity planning
  • Work distribution and balance

An example question from the phase 3 review sheet:

  • Compare the work load in different areas. How well was it balanced? Were there any bottle necks or slack?

Phase 4 : Flow and Division of Labour

Example learning points to look for in phase 4:

  • Coping with variable customer demand
  • Alternative forms of Kanbans
  • One-piece flow and appropriate documentation systems
  • Teamwork and flexibility
  • Clear definition of responsibilities

An example question from the phase 4 review sheet:

  • If your customer demand quadrupled what are the advantages and disadvantages of: adding more people to existing work stations (and sub-dividing the work) or having several work stations working in parallel?

Phase 5 : Supply Chain Management and Continuous Improvement

Example learning points to look for in phase 5:

  • Customer/supplier relationships
  • Dealing with remote businesses
  • Avoiding component shortages
  • Simplifying the supply of components
  • Supply chain information flow and constraints

An example question from the phase 5 review sheet:

How do you think the following could benefit by the effective implementation of the principles introduced in through KanDo lean:

  • Customers
  • Companies
  • Workers
  • Suppliers

We use the Lean Production Games as part of our Yellow, Green and Black Belt training, however we also offer it as a stand alone 1-day or 2-day facilitated workshops.
This is perfect for onsite training with teams who are just being introduced to Lean concepts.

See below for details or download .pdf for Printing.
Lean Production Games-Mta.pdf

The Lean Production Game
1-day facilitated workshop
£295 per person)

( Ask about Group Discounts )

2-day facilitated workshop
£395 per person

( As about Group Discounts)

4-day Live-Zoom + Exam

AI Certification Manager Course CAIM PECB UK

December 16,17,18 and 21 2026 : Accredited UK Based trainer

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.

NOTE for CAIM PECB Live Zoom

Why Should You Attend?


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.

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.

Who Should Attend ?

Educational Approach

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.

Learning Objectives

This training course is intended for:

AI project and product managers who are responsible for planning and delivering AI in.tiatives, 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

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