CAIM Certifed AI Manager Manchester UK

PECB Accredited Certification

International Accredited Lean Six Sigma Green Belt Certification

Instructor Led 5-day Green Belt Training and Certification

The 5 day ILSSI Certified Lean Six Sigma Green Belt course trains managers and workers how to use Lean Six Sigma methods, tools and techniques to improve their business processes. The course also coaches the delegates how to lead small to medium sized process improvement projects using the DMAIC framework. The ILSSI certification exam is a 2 hour 100 question proctored exam.

£995.00 ( Live Zoom) or
£1495.00 ( Live Classroom )

5-day Green Belt training and ILSSI exam

Lean Six Sigma Training Cambridge
Lean Six Sigma training games

COURSE PREREQUISITES

There are no course prerequisities for this 5-day Lean Six Sigma course other than a basic understanding of mathematics. Those students already holding a Lean Six Sigma Yellow Belt certification may benefit from their prior knowledge and understanding of overlapping concepts across both courses.

COURSE LEARNING OBJECTIVES

Lean Six Sigma Green Belt training and certification introduces the student to more complex Six Sigma statistical methods as well as Lean Leadership styles and developing a Lean Culture in your workplace. As a certified Green Belt you will be capable of leading teams and coaching and mentoring team members or subject matter experts within your company. The 5-day training class will enhance the problem solving skills and leadership skills of the attendees and stimulate them to take positive action for process improvement when they return to their workplace.

Lean Six Sigma Body of Knowledge for Green Belts

Accredited by the International Lean Six Sigma Institute ILSSI.org

  • Understanding Lean Six Sigma
  • Reducing Variation and Defects in your processes
  • Data Driven Decision Making
  • Pull and Just- in- Time Processes
  • Mistake Proofing
  • Following the Value Stream
  • Statistical Analysis Methods
  • Using Engage Process Software for VSM
  • Root Cause Analysis
  • Lean Six Sigma and Quality by Design
  • Elimination of Waste from your processes
  • Statistical Process Control
  • Process Capability Analysis and Improvement
  • Graphical Tools using SigmaXL
  • Kaizen and Continuous Improvement
  • Experimental Methods

TEACHING OUTLINE

There are no course prerequisities for this 5-day Lean Six Sigma course other than a basic understanding of mathematics . Those students already holding a Lean Six Sigma Yellow Belt certification may benefit from their prior knowledge and understanding of overlapping concepts across both courses.

MONDAY

Lean Six Sigma Fundametals

TUESDAY

Lean Tools, DMAIC and RCA

Yellow Belt EXAM

WEDNESDAY

Six Sigma Tools

THURSDAY

Analysis and Optimisation

FRIDAY

Control and SPC

Green Belt EXAM

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