CAIM Certifed AI Manager Manchester UK

PECB Accredited Certification

Lean Six Sigma Black Belt Certificate ILSSI IASSC ASQ

Online Black Belt course certification

£595 £495

  • Accredited by International Lean Six Sigma Institute ILSSI.org
  • High Quality Videos – over 8 hours of videos
  • Downloadable  Online Study Guides as PDFs
  • Downloadable exercises and templates in Excel ( for data analysis )
  • Case Studies
  • App for iPhone or Android Phones
  • End of Chapter Multiple Choice Test Questions
  • Course availability – 180 days  ( extensions available for £25 )
  • Certificate and online Registration as Accredited ILSSI Lean Six Sigma Black Belt with Credential.net
The Online Lean Six Sigma Black Belt course is designed for a professional who requires in depth understanding of Lean Six Sigma principles and tools and the  Internationally Accredited Lean Six Sigma Black Belt from ILSSI.org (  International Lean Six Sigma Institute ). 
The certified Black Belt will have the knowledge and tools to be able to lead projects and guide on Change Management and Risk Management. 
In addition the courses cover data analysis and statistical techniques and tools.   It provides examples using SigmaXL as the stastistical analysis tool and the student can also practise the exercises using downloadable data in Excel workbooks.
The course consists of 60 modules which cover all Black Belt Body of Knowledge (BoK) as well as the Yellow Belt and Green Belt BoKs.   See the downloadable online study guide.

 

COURSE LEARNING OBJECTIVES

 

The Online Lean Six Sigma Black Belt 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 certified Black Belt will be trained with the tools and understanding of Lean Six Sigma methodology necessary to make strategic decisions and consider the impacts of projects and changes at 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 necessary to prepare student as a Lean Six Sigma Black Belt .

COURSE OUTLINE: Online Lean Six Sigma Black Belt course

The ILSSI Certificate in Lean Six Sigma Black Belt is a confirmation of your ability to manage enterprise wide improvement projects spanning value streams made up of multiple departments and functions, successfully working with a team of subject matter experts to apply Lean Six Sigma principles, tools, and methods to perform complex assessments and analyses to solve problems, eliminate waste and constraints to flow, and improve processes. As a Lean Six Sigma Black Belt, you are also able to assist senior management in developing and implementing a highly-customized enterprise deployment of Lean.
It is recommended that you complete the required courses in the following order:

 L001 Introduction to Lean
 S001 Introduction to Six Sigma

 

 L002-2 Introduction to Kaizen
 L002-3 Using the A3 Report for Rapid Improvement
 L002-4 SIPOC Mapping
 L003-1 Understanding and Implementing 5S/6S
 L003-2 Implementing and Facilitating Lean “Huddles”
 L003-3 Visual Workplace
 L003-4 Standard Work
 L004-1 Mapping the Process
 L004-2 Spaghetti Diagrams
 L004-3 Gemba (Waste) Walks
 S002-1 Failure Modes and Effects Analysis
 S002-2 Error-Proofing/Mistake-proofing


 L005-2 Managing Change
 L006-1 Brainstorming, Affinity Diagrams & Team Voting
 L006-2 Cause & Effect Diagrams & the Five Whys
 L006-3 Pareto Charts and the 80/20 Rule

 L007 Value Stream Mapping
 L008 Kanban and Material Management
 L009-1 Work levelling/Load Balancing
 L009-2 Work Cell Design & Improved Office/Facility Layout
 L010 Rapid Changeover Techniques/SMED
 L011 Total Productive Maintenance (TPM)

 S020-1 Voice of the Customer – Kano Analysis

 S020-2 Voice of the Customer – Net Promoter Score

 L013 Lean Deployment Strategy and Methods
 L014 Lean and Green: The Environmental Benefits

 

 S001-1 Introduction to DMAIC 

 L002-1 Writing Effective Problem Statements

 L005-1 Constructing Project Charters

 S003 Controlling the Process
 L012 Process Control Plans and Control Charts

 S004 Assessing Process Capability
 S005 Introduction to Basic Statistics
 S006-1 The Normal Distribution
 S006-2 The Standard Normal (Z) Distribution
 S006-3 Testing for Normality
 S007-1 Graphical Analysis – The Histogram
 S007-2 Graphical Analysis – The Boxplot
 S007-3 Graphical Analysis – The Scatter Plot
 S008 Central Limit Theorem and Confidence Intervals
 S009 Introduction to Hypothesis Testing
 S010 Data Collection and Sampling
 S011 MSA – Gauge R & R Studies
 S012 MSA – Attribute Agreement Analysis
 S013-1 Process Capability Measures – Discrete
 S013-2 Process Capability Measures – Continuous
 S014 Correlation and Simple Linear Regression
 S015 Discrete & Continuous Probability Distributions
 S016 Hypothesis Testing – Mean and Median
 S017 Test for Equal Variance
 S018 Analysis of Variance (ANOVA) and ANOM
 S019-1 Proportion Testing
 S019-2 Chi-Square Analysis

 S021 Use of Data Transformation in Analysis

 S022 Introduction to Logistic Regression
 S023 Introduction to General Linear Models (GLM)
 S024 Introduction to Reliability Life Data Analysis
 S025 Introduction to Design of Experiments (DOE)
 S028 Introduction to Design for Six Sigma

When you have completed the required courses, you can unlock your certificate. 

 

Six Sigma Statistic Black Belt
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Six Sigma

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