183 Project Management Professional (PMP) courses in London

About this Virtual Instructor Led Training (VILT)  Conducted in an interactive manner, Exploration Project Management will include presentations by the course leader, syndicate and plenary exercises, and (optional) assessment of selected participants' projects. Industry case studies will be integrated into all the presentations. The course material will include a course manual (handout) and a course workbook (for exercises). Participants are requested to bring a mini-poster (two PowerPoint slides) as background material for discussion during the course. Training Objectives By the end of this Virtual Instructor Led Training (VILT), participants will be able to: Improve the evaluation, execution and delivery of exploration projects, measured in terms of successful bids for new acreage, increased success rate and volume delivery from exploration drilling, and more rapid progress in appraisal of discoveries. Describe concepts, simple processes, workflows and analysis tools for project execution. Tools include the expert course leader's proprietary project management framework, including project framing and after-action review methodologies, templates for strategy development, decision trees, decision quality frameworks. They also include customised Excel spreadsheets for portfolio modelling, project risk assessment (in new ventures and prospect maturation) and business planning. Understand their role in (a) delivering the company's strategy, (b) contributing data and assessments to key exploration decision makers, and (c) communicating project progress and results to senior management. Target Audience The Virtual Instructor Led Training (VILT) is aimed at exploration professionals with more than 5 to 10 years of experience in the business, who would like to develop their skills for managing exploration projects and presenting the goals and results of their project work to senior management. Exploration and engineering professionals who work in exploration project teams, across the spectrum from new ventures (exploration business development), prospect identification and maturation, and appraisal of discoveries Exploration project leaders Exploration managers The VILT will also benefit professionals from well engineering, petroleum engineering, finance and planning who support exploration activities. Participants are requested to bring a mini-poster (two PowerPoint slides, each printed on A3 paper) as background material for discussion during the course. Course Level Basic or Foundation Trainer Your expert course leader draws on more than 35 years of experience managing, reviewing and directing projects in all aspects of the exploration business: from exploration business development (new ventures), through prospect maturation and drilling, to the appraisal of discoveries. He has more than 30 years' experience with Shell International, followed by 10 years consulting to NOCs in Asia Pacific, Africa and South America and independent oil companies in the United Kingdom, continental Europe and North America. Other than delivering industry training, he has worked on projects for oil & gas companies of all sizes, including independents, national oil companies and (super)-majors, private equity firms, hedge funds and investment banks, and leading management consulting firms. He is an alumnus of Cambridge University. He has M.A and Ph.D. degrees in geology and is a Fellow of the Geological Society of London as well as a respected speaker on management panels at international conferences. Professional Experience Management consultancy & executive education: Advice to investment banks, businesses and major consulting firms. Specialist expertise in upstream oil & gas, with in depth experience in exploration strategy, portfolio valuation and risk assessment. Leadership: Managed and led teams and departments ranging from 3 - 60 in size. Provided technical leadership to a cadre of 800 explorationists in Shell worldwide. Member of the 12-person VP team leading global exploration in Shell, a $3 bln p.a. business and recognised as the most effective and successful among its industry peers. Accountability & decision-making: Accountable for bottom-line results: in a range of successful exploration ventures with budgets ranging from $10's million to $100's million. Made, or contributed to, complex business decisions / investments, taking into account strategic, technical, commercial, organisational and political considerations. Corporate governance: Served as non-executive director on the Boards of the South Rub al Khali Company (oversight of gas exploration studies and drilling in Saudi Arabia) and SEAPOS B.V. (exploration deep-water drilling and facilities management). Technical & operations: Skilled in exploration opportunity evaluation, the technical de risking of prospects, portfolio analysis and managing the interface between exploration and well engineering activities. Unparalleled knowledge of the oil and gas basins of the world, and of different operating regimes and contractual structures, ranging from Alaska, Gulf of Mexico and Brazil, through to the Middle East, former Soviet Union, Far East and Australia. Safety: Following an unsatisfactory audit, became accountable for safety performance in Shell's exploration new ventures. Through personal advocacy and leadership of a small team, delivered pragmatic and effective HSE systems, tools and staff training / engagement and a dramatically improved safety record. R&D: Experience in the 3 key roles in R&D: scientific researcher, research manager, and 'customer' for R&D products. After re-defining Shell's exploration R&D strategy, led the re-structuring of the R&D organization, its interface with 'the business' and approaches to deployment and commercialization. Strategy: Accomplished at formulating competitive strategies in business, R&D and technology deployment, translating them into actionable tactics and results. Defined the exploration strategy of PDO (a Shell subsidiary in Oman) and latterly of Shell's global exploration programme. Professional education, behavioural/motivational coaching: Experienced in organisational re-design, change management, leadership education and talent development. Commercial skills: Personally negotiated drilling compensation claims, educational contracts and E&P contracts, with values of $5 million to $100+ million. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

Lean Six Sigma Black Belt Certification Program This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Lean Six Sigma Black Belt Certification Program: In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

PRINCE2® Foundation: In-House Training Projects fail for a variety of reasons including poor planning, lack of defined quality criteria, poor understanding of the business drivers, inadequate control, and lack of senior management involvement in other words, lack of a structured best practice approach to project delivery. PRINCE2® (6th Edition is the current version) is a structured, process-based approach to project management providing a methodology which can be easily tailored and scaled to suit all types of projects. It is the de facto standard for project management in the UK Government and is used extensively in more than 150 countries worldwide with in excess of 20,000 organizations already benefiting from its powerful approach. It can be used easily in combination with PMI®'s PMBOK® Guideto provide a robust project management methodology, or to augment an existing PMBOK®-based methodology with additional rigor around areas such as Quality, Organization, and Benefits Realization. The goals of this course are to provide participants with a thorough grounding in PRINCE2® and its benefits and to prepare them to sit the Foundation exam. What you will Learn You'll learn how to: Identify the benefits and principles underlying a structured approach to project management Define the PRINCE2® method in depth, including the principles, themes, and processes Prepare and practice for the Foundation exam Getting Started Introductions Course structure Course goals and objectives Overview of the PRINCE2® Foundation exam PRINCE2® Introduction Introducing PRINCE2® The structure of PRINCE2® What PRINCE2® does not provide What makes a project a 'PRINCE2® project'? Project Management with PRINCE2® Defining a project Managing a project Controlling the variables The Project Manager's work PRINCE2 Principles PRINCE2® Principles The Seven Principles Tailoring and Adopting PRINCE2® Defining tailoring Defining embedding What can be tailored? Who is responsible for tailoring? Introduction to the PRINCE2® Themes What is a PRINCE2® Theme? What are the PRINCE2® Themes? Tailoring the themes Format of the theme chapters Business Case Need for a business case Elements of a business case How a business case is developed Managing Benefits Organization Need for a special type of organization PRINCE2® organization structure Roles in a PRINCE2® project Combining roles Quality Relevance of quality to project work Quality, quality control, and quality assurance Quality management approach and the quality register Who is responsible for quality? Plans Need for plans and their hierarchy Approach to planning Content of a PRINCE2® plan Product-based planning Risk The need to manage risks What is a risk? Risk and continued business justification A risk management option Change Change is inevitable Different types of change Baselines and configuration management Issue and change control in PRINCE2® Progress Controlling a PRINCE2® project The application of tolerance Types of control Raising exceptions Introduction to Processes Processes and the project lifecycle The PRINCE2® journey Structure of the process chapters Tailoring the processes Starting up a Project Appointing people to the PRINCE2® roles Establishing some baselines Should we go further with this work? Planning for initiation Directing a Project Should we start / continue the project? Responding to internal / external influences Should we close this project? Initiating a Project Establishing the project's approaches Creating the project plan Refining the business case Assembling the PID Controlling a Stage Authorizing and reviewing work Monitoring and reporting Handling non-planned situations Triggering the next process Managing Product Delivery Accepting work from the Project Manager Getting the work done by the team Routine and non-routine reporting Handing back the completed work Managing a Stage Boundary Taking stock of what we have done Updating the PID Consider the options for continuing / stopping Producing exception plans Closing a Project PRINCE2® at the end of a project Transition of product to operational use How well did we do? Tying up all the loose ends

PRINCE2® Foundation Projects fail for a variety of reasons including poor planning, lack of defined quality criteria, poor understanding of the business drivers, inadequate control, and lack of senior management involvement in other words, lack of a structured best practice approach to project delivery. PRINCE2® (6th Edition is the current version) is a structured, process-based approach to project management providing a methodology which can be easily tailored and scaled to suit all types of projects. It is the de facto standard for project management in the UK Government and is used extensively in more than 150 countries worldwide with in excess of 20,000 organizations already benefiting from its powerful approach. It can be used easily in combination with PMI®'s PMBOK® Guideto provide a robust project management methodology, or to augment an existing PMBOK®-based methodology with additional rigor around areas such as Quality, Organization, and Benefits Realization. The goals of this course are to provide participants with a thorough grounding in PRINCE2® and its benefits and to prepare them to sit the Foundation exam. What you will Learn You'll learn how to: Identify the benefits and principles underlying a structured approach to project management Define the PRINCE2® method in depth, including the principles, themes, and processes Prepare and practice for the Foundation exam Getting Started Introductions Course structure Course goals and objectives Overview of the PRINCE2® Foundation exam PRINCE2® Introduction Introducing PRINCE2® The structure of PRINCE2® What PRINCE2® does not provide What makes a project a 'PRINCE2® project'? Project Management with PRINCE2® Defining a project Managing a project Controlling the variables The Project Manager's work PRINCE2 Principles PRINCE2® Principles The Seven Principles Tailoring and Adopting PRINCE2® Defining tailoring Defining embedding What can be tailored? Who is responsible for tailoring? Introduction to the PRINCE2® Themes What is a PRINCE2® Theme? What are the PRINCE2® Themes? Tailoring the themes Format of the theme chapters Business Case Need for a business case Elements of a business case How a business case is developed Managing Benefits Organization Need for a special type of organization PRINCE2® organization structure Roles in a PRINCE2® project Combining roles Quality Relevance of quality to project work Quality, quality control, and quality assurance Quality management approach and the quality register Who is responsible for quality? Plans Need for plans and their hierarchy Approach to planning Content of a PRINCE2® plan Product-based planning Risk The need to manage risks What is a risk? Risk and continued business justification A risk management option Change Change is inevitable Different types of change Baselines and configuration management Issue and change control in PRINCE2® Progress Controlling a PRINCE2® project The application of tolerance Types of control Raising exceptions Introduction to Processes Processes and the project lifecycle The PRINCE2® journey Structure of the process chapters Tailoring the processes Starting up a Project Appointing people to the PRINCE2® roles Establishing some baselines Should we go further with this work? Planning for initiation Directing a Project Should we start / continue the project? Responding to internal / external influences Should we close this project? Initiating a Project Establishing the project's approaches Creating the project plan Refining the business case Assembling the PID Controlling a Stage Authorizing and reviewing work Monitoring and reporting Handling non-planned situations Triggering the next process Managing Product Delivery Accepting work from the Project Manager Getting the work done by the team Routine and non-routine reporting Handing back the completed work Managing a Stage Boundary Taking stock of what we have done Updating the PID Consider the options for continuing / stopping Producing exception plans Closing a Project PRINCE2® at the end of a project Transition of product to operational use How well did we do? Tying up all the loose ends

PRINCE2® Practitioner : In-House Training Projects fail for a variety of reasons including poor planning, lack of defined quality criteria, poor understanding of the business drivers, inadequate control, and lack of senior management involvement in other words, lack of a structured best practice approach to project delivery. PRINCE2® (6th Edition is the current version) is a structured, process-based approach for project management providing a methodology which can be easily tailored and scaled to suit all types of projects. It is the de facto standard for project management in the UK Government and is also used extensively in more than 150 countries worldwide with in excess of 20,000 organizations already benefitting from its powerful approach. It can be used easily in combination with PMI®'s PMBOK® Guide to provide a robust project methodology, or to augment an existing PMBOK®-based methodology with additional rigor around areas such as Quality, Organization, and Benefits Realization. The goals of this course are to take participants to the next level of understanding and application of the PRINCE2® methodology and to prepare them to sit the Practitioner exam. Using APMG provided sample exam papers and additional project case studies, participants will learn how to apply what they learned during the Foundation course and how to approach the OTE Practitioner exam, which is aimed at testing their ability to apply PRINCE2® in an actual project environment simulated via a case study provided as part of the exam. What you will Learn You'll learn how to: Tailor and apply the principles, themes, process structure, techniques, and management products of PRINCE2® within a work environment, via carefully selected case studies Define the PRINCE2® 6th Edition method at the Practitioner level Prepare for and take the Practitioner exam Getting Started Introductions Course structure Course goals and objectives Tailoring PRINCE2® Tailoring PRINCE2® Adopting PRINCE2® Tailoring PRINCE2® to suit different projects Adopting PRINCE2® in an organizational environment Controlled Start Recap management products Study business case and risk Study activities and responsibilities in: Starting up a project Initiating a project Controlled Progress Study management products and risk Study activities and responsibilities in: Getting work done Monitoring and reporting Issues and escalation Controlled Close Study Activities and Responsibilities in Closing a Project Activities and roles Roles and Responsibilities Principles Exercise Product-basedPlanning Producing a product breakdown structure (PBS) Producing a product flow diagram (PFD) Linking product breakdown structures and product flow diagrams to product descriptions

PRINCE2® Practitioner Projects fail for a variety of reasons including poor planning, lack of defined quality criteria, poor understanding of the business drivers, inadequate control, and lack of senior management involvement in other words, lack of a structured best practice approach to project delivery. PRINCE2® (6th Edition is the current version) is a structured, process-based approach for project management providing a methodology which can be easily tailored and scaled to suit all types of projects. It is the de facto standard for project management in the UK Government and is also used extensively in more than 150 countries worldwide with in excess of 20,000 organizations already benefitting from its powerful approach. It can be used easily in combination with PMI®'s PMBOK® Guide to provide a robust project methodology, or to augment an existing PMBOK®-based methodology with additional rigor around areas such as Quality, Organization, and Benefits Realization. The goals of this course are to take participants to the next level of understanding and application of the PRINCE2® methodology and to prepare them to sit the Practitioner exam. Using APMG provided sample exam papers and additional project case studies, participants will learn how to apply what they learned during the Foundation course and how to approach the OTE Practitioner exam, which is aimed at testing their ability to apply PRINCE2® in an actual project environment simulated via a case study provided as part of the exam. What you will Learn You'll learn how to: Tailor and apply the principles, themes, process structure, techniques, and management products of PRINCE2® within a work environment, via carefully selected case studies Define the PRINCE2® 6th Edition method at the Practitioner level Prepare for and take the Practitioner exam Getting Started Introductions Course structure Course goals and objectives Tailoring PRINCE2® Tailoring PRINCE2® Adopting PRINCE2® Tailoring PRINCE2® to suit different projects Adopting PRINCE2® in an organizational environment Controlled Start Recap management products Study business case and risk Study activities and responsibilities in: Starting up a project Initiating a project Controlled Progress Study management products and risk Study activities and responsibilities in: Getting work done Monitoring and reporting Issues and escalation Controlled Close Study Activities and Responsibilities in Closing a Project Activities and roles Roles and Responsibilities Principles Exercise Product-basedPlanning Producing a product breakdown structure (PBS) Producing a product flow diagram (PFD) Linking product breakdown structures and product flow diagrams to product descriptions

Change Management Practitioner A successful Practitioner candidate should, with suitable direction, be able to start applying the Change Management™ approaches and techniques to a real change initiative; however, s/he may not be sufficiently skilled to do this appropriately for all situations. His/her individual Change Management expertise, complexity of the change initiative, and the support provided for the use of Change Management approaches in their work environment will all be factors that impact what the Practitioner can achieve. This course will further develop some of the knowledge of Change Management learned during the Foundation certification. You will consider what learning is required and how best to design and deliver it. Then the course will provide an understanding of how Change Management fits into the project management environment. A major challenge with change is making it stick. The course will show how to sustain change by understanding the levers for change, models of adoption, and reinforcing systems. This course also prepares you for the APMG Change Management Practitioner exam. Given that a primary course goal is to achieve the Practitioner Certification, daily homework assignments and practice exams will be provided. The Practitioner-level exam is taken at the end of the second day of the Traditional Classroom course. What You Will Learn You'll learn how to: Understand the key principles in defining what is to be learned by all involved in a change initiative Describe the project environment in which change is governed and delivered Understand the organizational 'levers', adoption approaches, and reinforcing systems typically used to sustain change Improve your ability to pass the APMG Change Management Practitioner Certification exam Getting Started Introductions Course structure Course goals and objectives Learning and Change Defining and managing the required learning to enable change The Project Management Environment Understanding the project environment Identifying key roles Developing a change delivery plan Sustaining Change How levers enable the adoption of change Types of levers (Environmental levers, Leadership levers, and Organizational Development levers) Models of adoption and reinforcing systems APMG Change Management Practitioner Exam Preparation Review of and practice with APMG sample questions and test papers APMG Change Management Practitioner Exam Traditional Classroom: The exam is taken and submitted to APMG for marking. Virtual Classroom: The exam is scheduled by the Participant and taken subsequent to the course.

Lean Six Sigma Green Belt Certification Program This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions. What you Will Learn At the end of this program, you will be able to: Identify strategies for effectively leading high performing process improvement teams Analyze whether projects align with business strategy Apply process improvement methodologies to DMAIC steps, based on real world scenarios Explain ways to appropriately respond to process variation Distinguish among best practice problem solving methodologies Evaluate and effectively communicate data-driven decisions, based on real world scenarios Introduction Lean Six Sigma & quality The vision The methodologies The metric Project Selection Why Projects Random idea generation Targeted idea generation CTQs (Critical to Quality) & projects Project screening criteria Quick improvements Introduction to Define Project Planning Developing the core charter Developing a project charter Facilitation Process Management Business process management Top-down process mapping Voice of the Customer Voice of Customer Stakeholder analysis Communication planning Kicking off the project Define Summary Introduction to Measure Data Collection Fact-based decision making Data sampling Operations definitions Data collection plan Measurement system analysis Graphical Statistics for Continuous Data Meet Six SigmaXL Graphical & statistical tools Data stratification Graphical Statistics for Discrete Data Pareto analysis Dot plots Plotting data over time: Looking for patterns Variation Concepts Variation is reality Special Cause and Common Cause variation Example of standard business reporting Individuals Control Chart Process Capability Genesis of process capability Calculating the metrics of Six Sigma Yield metrics: Measuring process efficiency Cost of Poor Quality The Cost of Poor Quality (COPQ) Cost of Quality categories Calculating the Cost of Poor Quality Measure Summary Introduction to Analyze Process Analysis Introduction to process analysis Value-added analysis Cycle time analysis WIP & pull systems Analyzing bottlenecks and constraints Cause & Effect Analysis Fishbone/Ishikawa diagram 5-Whys analysis Graphical & statistical tools Advanced Analysis Why use hypothesis rests? Hypothesis tests Correlation and regression analysis Analyze Summary Introduction to Improve Solutions Creativity techniques Generating alternative solutions Solution selection techniques Introduction to Design of Experiments Introduction to DOE DOE activity Error Proofing Failure mode & effect analysis Poka-Yoke Project Management Fundamentals Successful teams Project roles Conflict management Standardization Standardization The Visual Workplace 5S Piloting & Verifying Results What is a pilot? Evaluating results Improve Summary Introduction to Control Statistical Process Control Review of Special & Common Cause variation Review of Individual Control Chart P-Chart for discrete proportion data Transition Planning Control plan Project closure Control Summary Summary and Next Steps

Lean Six Sigma Green Belt Certification Program: In-House Training This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions. What you Will Learn At the end of this program, you will be able to: Identify strategies for effectively leading high performing process improvement teams Analyze whether projects align with business strategy Apply process improvement methodologies to DMAIC steps, based on real world scenarios Explain ways to appropriately respond to process variation Distinguish among best practice problem solving methodologies Evaluate and effectively communicate data-driven decisions, based on real world scenarios Introduction Lean Six Sigma & quality The vision The methodologies The metric Project Selection Why Projects Random idea generation Targeted idea generation CTQs (Critical to Quality) & projects Project screening criteria Quick improvements Introduction to Define Project Planning Developing the core charter Developing a project charter Facilitation Process Management Business process management Top-down process mapping Voice of the Customer Voice of Customer Stakeholder analysis Communication planning Kicking off the project Define Summary Introduction to Measure Data Collection Fact-based decision making Data sampling Operations definitions Data collection plan Measurement system analysis Graphical Statistics for Continuous Data Meet Six SigmaXL Graphical & statistical tools Data stratification Graphical Statistics for Discrete Data Pareto analysis Dot plots Plotting data over time: Looking for patterns Variation Concepts Variation is reality Special Cause and Common Cause variation Example of standard business reporting Individuals Control Chart Process Capability Genesis of process capability Calculating the metrics of Six Sigma Yield metrics: Measuring process efficiency Cost of Poor Quality The Cost of Poor Quality (COPQ) Cost of Quality categories Calculating the Cost of Poor Quality Measure Summary Introduction to Analyze Process Analysis Introduction to process analysis Value-added analysis Cycle time analysis WIP & pull systems Analyzing bottlenecks and constraints Cause & Effect Analysis Fishbone/Ishikawa diagram 5-Whys analysis Graphical & statistical tools Advanced Analysis Why use hypothesis rests? Hypothesis tests Correlation and regression analysis Analyze Summary Introduction to Improve Solutions Creativity techniques Generating alternative solutions Solution selection techniques Introduction to Design of Experiments Introduction to DOE DOE activity Error Proofing Failure mode & effect analysis Poka-Yoke Project Management Fundamentals Successful teams Project roles Conflict management Standardization Standardization The Visual Workplace 5S Piloting & Verifying Results What is a pilot? Evaluating results Improve Summary Introduction to Control Statistical Process Control Review of Special & Common Cause variation Review of Individual Control Chart P-Chart for discrete proportion data Transition Planning Control plan Project closure Control Summary Summary and Next Steps