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CAIM Certifed AI Manager Manchester UK

PECB Accredited Certification

Lean Six Sigma Black Belt Certificate ILSSI IASSC ASQ

International Lean Six Sigma Institute

8-day Black Belt Training and Certification

The 8-day ILSSI or CSSC International Accredited Certified Lean Six Sigma Black Belt course is designed for a professional who has had no previous Lean Six Sigma training and requires an in depth understanding of the Lean Six Sigma Methodology. The exam is a 4 hour 150 question proctored exam.

Call us or send us inquiry about our next 8-day International Accredited Black Belt class ( Includes ILSSI or CSSC exam)

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International Lean Six Sigma Institute ( ILSSI ) Certified Lean Six Sigma Black Belt

Council for Six Sigma Certification ( CSSC ) International Certified Lean Six Sigma Black Belt

LBB-SAMPLE-Council-For-Six-Sigma-Certification
Course Learning
Objectives
Course
Prerequesites
Teaching
Outline
Required Laptop
( Windows ) or Apple (OSX)

COURSE LEARNING OBJECTIVES

The Lean Six Sigma Black Belt 8-day training course provides the detailed understanding of the methodologies, tools and techniques of Lean and Six Sigma necessary for leading teams and coaching and mentoring other employees for reduction in costs, cycle-times, improved quality, and elimination of waste. The student will complete the course with the tools and understanding of Lean Six Sigma methodology necessary to make both tactical and strategic decisions and consider the impacts of projects and changes at both an operational and an enterprise level.

The training emphasises a disciplined and data-driven decision making approach for leading problem-solving projects. The course presents all the key concepts to prepare student for the ILSSI or CSSC Lean Six Sigma Black Belt Certification exam

COURSE PREREQUISITES

Students are expected to have a basic knowledge and understanding of mathematics and have worked in project teams in a work or educational environment. It is not required that students hold a certificate in Six Sigma Green or Yellow Belt prior to taking this 8-day Black Belt course. Those students already with Lean Six Sigma Green Belt training and certification are advised to sign-up for the 3-day Black Belt course instead of the 8-day course.

TEACHING OUTLINE

There are no course prerequisities for this 5-day Lean Six Sigma course other than a basic understanding of mathematics ( GCSE level or equivalent). 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.

Day 1

  • Lean Fundamentals
  • Six Sigma Fundamentals
  • Voice of the Customer
  • SIPOC
  • Introduction to Value and Value Stream Mapping
  • Identifying Waste
  • Introduction to Flow and Pull
  • Root Cause Analysis
  • 5S

Day 2

  • DMAIC methodology
  • Introduction to Six Sigma Statistics
  • Measurement System Analysis
  • Introduction to Statistical Process Control (SPC)

Day 3

  • Introduction to SigmaXL
  • Pareto Charts and 80/20 rule
  • Kano Analysis
  • Six Sigma Statistics
  • Measurement System Analysis

Day 4

  • Process Capability
  • Inferential Statistics
  • Correlation and Regression Analysis
  • Intro to Hypothesis Testing
  • Design of Experiments
  • Mock exam practice

Day 5

  • Review of mock exam and final exam preparation
  • Final  Lean Six Sigma Green Belt Certification Exam

Day 6

  • The Role of a Black Belt
  • Advanced use of DMAIC
  • Risk Analysis for Black Belts
  • Change Management
  • Hypothesis Testing Non-Normal Data
  • Advanced Regression Analysis

Day 7

  • Advanced Design of Experiments
  • Fractional Factorial Experiments
  • Response Surface Method RSM
  • Binomial and Poisson Distribution
  • Prep Black Belt exam #2

Day 8

  • Review of mock exam and final exam preparation
  • Final Lean Six Sigma Black Belt Certification Exam
Example of content

REQUIRED MATERIALS AND EQUIPMENT

A PC (Windows 7 or higher ) laptop is required for this class. Check for the minimum system requirements here.

The price includes the necessary lifetime license of SigmaXL and also exam / accredited certification fees.

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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