167 Project Management Institute (PMI) courses in London

PMI-RMP® Exam Prep: In-House Training This course is aimed at preparing the participant to pass the PMI-RMP® (Risk Management Professional) exam. The course will also provide practical tips and tools that can be used in any organization's project management risk practices. In this expanded session, you will also have time to practice your exam taking skills with coaching from a credentialed instructor. The course includes the tool RMP-IQ, with sample exam questions to practice for the exam and allow participants to see their knowledge level in the various domains. What You Will Learn At the end of this course, participants will be able to: Explain the value and benefits of the PMI-RMP® credential Perform a self-assessment of your knowledge and skills Prepare a study plan that will allow you to pass the exam Foundation Concepts The Risk Management Professional (PMI-RMP®) Exam PMI's Standard for Risk Management Portfolios, Programs and Projects Key risk definitions Risk management life cycle Levels of Risk Management Enterprise Risk Management Portfolio Risk Management Program Risk Management Project Risk Management Risk Strategy and Planning: Part 1 Task 1: Perform a preliminary document analysis Task 2: Assess project environment for threats and opportunities Task 3: Confirm risk thresholds based on risk appetites Risk Strategy and Planning: Part 2 Task 4: Establish risk management strategy Task 5: Document the risk management plan Task 6: Plan and lead risk management activities with stakeholders Agile, programs, and portfolio aspects of risk strategy and planning Risk Identification: Part 1 Objectivity and bias Task 1: Conduct risk identification exercises Risk Identification: Part 2 Task 2: Examine assumption and constraint analysis Task 3: Document risk triggers and thresholds based on context / environment Task 4: Develop risk register Agile, programs, and portfolio aspects of risk identification Risk Analysis: Part 1 Task 1: Perform qualitative analysis Risk analysis in an agile environment Risk Analysis: Part 2 Task 2: Perform quantitative analysis Task 3: Identify threats and opportunities Program and portfolio aspects of risk analysis Risk Response Task 1: Plan risk responses Agile, programs, and portfolio aspects of risk response planning Task 2: Implement risk responses Monitor and Close Risks: Part 1 Task 1: Gather and analyze performance data Monitor and Close Risks: Part 2 Task 2: Monitor residual and secondary risks Task 4: Monitor project risk levels Task 3: Provide information required to update relevant project documents Agile, programs, and portfolio aspects of monitoring and closing risks

PMI-RMP® Exam Prep This course is aimed at preparing the participant to pass the PMI-RMP® (Risk Management Professional) exam. The course will also provide practical tips and tools that can be used in any organization's project management risk practices. In this expanded session, you will also have time to practice your exam taking skills with coaching from a credentialed instructor. The course includes the tool RMP-IQ, with sample exam questions to practice for the exam and allow participants to see their knowledge level in the various domains. What You Will Learn At the end of this course, participants will be able to: Explain the value and benefits of the PMI-RMP® credential Perform a self-assessment of your knowledge and skills Prepare a study plan that will allow you to pass the exam Foundation Concepts The Risk Management Professional (PMI-RMP®) Exam PMI's Standard for Risk Management Portfolios, Programs and Projects Key risk definitions Risk management life cycle Levels of Risk Management Enterprise Risk Management Portfolio Risk Management Program Risk Management Project Risk Management Risk Strategy and Planning: Part 1 Task 1: Perform a preliminary document analysis Task 2: Assess project environment for threats and opportunities Task 3: Confirm risk thresholds based on risk appetites Risk Strategy and Planning: Part 2 Task 4: Establish risk management strategy Task 5: Document the risk management plan Task 6: Plan and lead risk management activities with stakeholders Agile, programs, and portfolio aspects of risk strategy and planning Risk Identification: Part 1 Objectivity and bias Task 1: Conduct risk identification exercises Risk Identification: Part 2 Task 2: Examine assumption and constraint analysis Task 3: Document risk triggers and thresholds based on context / environment Task 4: Develop risk register Agile, programs, and portfolio aspects of risk identification Risk Analysis: Part 1 Task 1: Perform qualitative analysis Risk analysis in an agile environment Risk Analysis: Part 2 Task 2: Perform quantitative analysis Task 3: Identify threats and opportunities Program and portfolio aspects of risk analysis Risk Response Task 1: Plan risk responses Agile, programs, and portfolio aspects of risk response planning Task 2: Implement risk responses Monitor and Close Risks: Part 1 Task 1: Gather and analyze performance data Monitor and Close Risks: Part 2 Task 2: Monitor residual and secondary risks Task 4: Monitor project risk levels Task 3: Provide information required to update relevant project documents Agile, programs, and portfolio aspects of monitoring and closing risks

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)

APM Project Fundamentals Qualification (PFQ) This practical course gives Participants a solid introduction to the fundamentals of project management and to prepare them for the one-hour, multiple-choice exam held at the end of the course. The APM Project Fundamentals Qualification (PFQ) is an entry-level qualification suitable for those who are new to project management and working in a project team, and who wish to understand the standard terminology. The goal of this course is to prepare you to successfully pass the exam. What you will Learn You'll learn how to: Identify project management terminology and context Identify project management processes Identify the roles involved in project management Describe project success criteria and benefits Prepare project documentation Acquire the level of understanding needed to pass the APM PFQ examination Getting Started Introductions Course structure Course goals and objective Project Context Project characteristics Project management processes Business and project context Organizational roles Project Lifecycle Programme and portfolio management Project Concept Phase Stakeholder management Project success and benefits management Business case Benefits People in Projects Leadership and teamwork Communication Project Definition Phase Project management plan Quality management Risk management Scope management Scheduling Resource management Estimating Procurement Project Implementation Phase Change control and configuration management Issue management Information management Project Hand-over and Close-out Phase Hand-over and close-out Post-project review Revision and Exam Revision and practice questions APM PFQ examination

APM Project Fundamentals Qualification (PFQ): In-House Training This practical course gives Participants a solid introduction to the fundamentals of project management and to prepare them for the one-hour, multiple-choice exam held at the end of the course. The APM Project Fundamentals Qualification (PFQ) is an entry-level qualification suitable for those who are new to project management and working in a project team, and who wish to understand the standard terminology. The goal of this course is to prepare you to successfully pass the exam. What you will Learn You'll learn how to: Identify project management terminology and context Identify project management processes Identify the roles involved in project management Describe project success criteria and benefits Prepare project documentation Acquire the level of understanding needed to pass the APM PFQ examination Getting Started Introductions Course structure Course goals and objective Project Context Project characteristics Project management processes Business and project context Organizational roles Project Lifecycle Programme and portfolio management Project Concept Phase Stakeholder management Project success and benefits management Business case Benefits People in Projects Leadership and teamwork Communication Project Definition Phase Project management plan Quality management Risk management Scope management Scheduling Resource management Estimating Procurement Project Implementation Phase Change control and configuration management Issue management Information management Project Hand-over and Close-out Phase Hand-over and close-out Post-project review Revision and Exam Revision and practice questions APM PFQ examination

Microsoft Project Blue Belt® 2013 This course introduces Project Server 2013 features that expedite scheduling projects and simplify managing tasks within an enterprise environment. Learn different aspects of Project Server and their benefits to varying roles in the enterprise, and gain hands-on experience and insights on best practices from SMEs around the world. This course introduces Project Server 2013 features that expedite scheduling projects and simplify managing tasks within an enterprise environment. Learn different aspects of Project Server and their benefits to varying roles in the enterprise, and gain hands-on experience and insights on best practices from SMEs around the world. What you Will Learn You'll learn how to: Identify the project's life cycle Understand the Enterprise Project Management (EPM) environment Apply the basic project management principles to selecting, initiating, planning, executing, monitoring and controlling, and closing your Project 2013 schedules Take advantage of new features Explain Project Server 2013 views and project sites Meet deadlines and budget restrictions Keep the workloads of your resources within their available limits Efficiently update your schedule Take advantage of the standard reports, custom views, and visual reports for your projects Take a brief look at the Business Intelligence potential Efficiently and effectively manage your project(s) and programs Work comfortably within Project Server 2013 or Project Online Getting Started with Microsoft® Project Server 2013 Describing the EPM context Discovering Project Server 2013 and Project Online Differentiating the users of Project Server 2013 Working with Project Professional 2013 and Project Server 2013 Recognizing the Life Cycle within EPM Projects and Portfolio Management Portfolio management and governance Originating new initiatives within EPTs and workflows Prioritizing initiatives, analyzing scenarios, optimizing, and selecting the portfolio Initiating Projects Initiating processes with Project Professional, SharePoint lists, Enterprise Projects, and Resource Plans Importing projects and managing project owner and permissions Planning Projects - Scope and Schedule Management Planning context and framework Scheduling in PWA Using the Deliverables feature Planning Projects - Staffing Management Plan Building a project team Managing resource availability Reviewing the assignment cycle Resolving resource overallocation Planning Projects - Cost Components, Baseline, and Consolidated Schedules Developing components of the Cost Management Planning processes Working with the baseline in projects and programs or master schedules Improving the Collaboration in the Project Sites Creating the Project Sites Developing components of the Risk Management Plan and Issues Tracking Linking planning documents Additional apps and customization Executing Projects Understanding executing processes Managing resources using Build Team and other features Working with timesheets Reporting administrative time Configuring personal settings Monitoring and Controlling Projects - Tracking Task and Project Progress Understanding the Monitoring and Controlling processes Task progress and updates in PWA including considerations for different tracking methods Task progress and updates in Project Professional 2013 Monitor and Control Projects - Measuring Performance and Reporting Progress Understanding status reports Reviewing performance metrics and progress reports Taking advantage of preloaded reports at the Business Intelligence Center Considerations for defining custom reports Closing Projects Reviewing the closing processes and closing tasks to updates Supporting the closing process

Managing Benefits™ Foundation The APMG International Managing Benefits and Swirl Device logo is a trademark of The APM Group Limited, used under permission of The APM Group Limited. All rights reserved. Benefits are not simply just one aspect of project and programme management (PPM) - rather, they are the rationale for the investment of taxpayers' and shareholders' funds in change initiatives. Managing Benefits is designed to complement existing best practices in portfolio, programme and project management (such as PRINCE2®, MSP®, P3O® & MoP®), and consolidates existing guidance while expanding on the specific practices and techniques aimed at optimizing benefits realization. The purpose of the Managing Benefits guidance and certification scheme is to provide you with generally applicable guidance encompassing benefits management principles, practices, and techniques, and to prepare you to take and pass the Foundation exam on the last day. Managing Benefits provides: An overview of benefits management - what it is, the case for doing it, and some common misconceptions that can limit its effectiveness in practice Descriptions of the seven principles upon which successful approaches to benefits management are built, and examples of how they have been applied in practice Guidance on how to apply benefits management at a portfolio level, as well as at an individual project or programme level Details of the five practices in the Benefits Management Cycle and examples of how they have been applied in practice Advice on how to get started in implementing effective benefits management practices and sustain progress What You Will Learn You'll learn how to: Define benefits, benefits management and related terms, and the objectives of benefits management Explain the principles upon which successful approaches to benefits management are based Define the practices contained within the Benefits Management Cycle and relevant techniques applicable to each practice Describe key elements of portfolio-based benefits management, as well as the scope of key roles and responsibilities for benefits management and the typical contents of the main benefits management documentation Identify barriers to effective benefits management and strategies to overcome them, including the key success characteristics of benefits management Improve your ability to pass the APMG Managing Benefits Foundation Certification exam Getting Started Introductions Course structure Course goals and objectives Overview of Managing Benefits The Benefits Management Model Key Benefits Management Practices What is Benefits Management? Definitions Value and Value Management Why do we need benefits management? Objectives Benefits Management Principles Align benefits with strategy Start with the end in mind Utilize successful delivery methods Integrate benefits with performance management Manage benefits from a portfolio perspective Apply effective governance Develop a value culture The Benefits Management Cycle Barriers to effective and efficient benefits management and overcoming them Key success characteristics of effective benefits management Key roles, responsibilities, and documentation Benefits Management Practice 1 - Identify and Quantify Benefits Management Practice 2 - Value and Appraise Benefits Management Practice 3 - Plan Benefits Management Practice 4 - Realize Benefits Management Practice 5 - Review Portfolio-based Benefits Management Implementing and Sustaining Progress APMG Managing Benefits Foundation Exam

Managing Benefits™ Foundation: In-House Training The APMG International Managing Benefits and Swirl Device logo is a trademark of The APM Group Limited, used under permission of The APM Group Limited. All rights reserved. Benefits are not simply just one aspect of project and programme management (PPM) - rather, they are the rationale for the investment of taxpayers' and shareholders' funds in change initiatives. Managing Benefits is designed to complement existing best practices in portfolio, programme and project management (such as PRINCE2®, MSP®, P3O® & MoP®), and consolidates existing guidance while expanding on the specific practices and techniques aimed at optimizing benefits realization. The purpose of the Managing Benefits guidance and certification scheme is to provide you with generally applicable guidance encompassing benefits management principles, practices, and techniques, and to prepare you to take and pass the Foundation exam on the last day. Managing Benefits provides: An overview of benefits management - what it is, the case for doing it, and some common misconceptions that can limit its effectiveness in practice Descriptions of the seven principles upon which successful approaches to benefits management are built, and examples of how they have been applied in practice Guidance on how to apply benefits management at a portfolio level, as well as at an individual project or programme level Details of the five practices in the Benefits Management Cycle and examples of how they have been applied in practice Advice on how to get started in implementing effective benefits management practices and sustain progress What You Will Learn You'll learn how to: Define benefits, benefits management and related terms, and the objectives of benefits management Explain the principles upon which successful approaches to benefits management are based Define the practices contained within the Benefits Management Cycle and relevant techniques applicable to each practice Describe key elements of portfolio-based benefits management, as well as the scope of key roles and responsibilities for benefits management and the typical contents of the main benefits management documentation Identify barriers to effective benefits management and strategies to overcome them, including the key success characteristics of benefits management Improve your ability to pass the APMG Managing Benefits Foundation Certification exam Getting Started Introductions Course structure Course goals and objectives Overview of Managing Benefits The Benefits Management Model Key Benefits Management Practices What is Benefits Management? Definitions Value and Value Management Why do we need benefits management? Objectives Benefits Management Principles Align benefits with strategy Start with the end in mind Utilize successful delivery methods Integrate benefits with performance management Manage benefits from a portfolio perspective Apply effective governance Develop a value culture The Benefits Management Cycle Barriers to effective and efficient benefits management and overcoming them Key success characteristics of effective benefits management Key roles, responsibilities, and documentation Benefits Management Practice 1 - Identify and Quantify Benefits Management Practice 2 - Value and Appraise Benefits Management Practice 3 - Plan Benefits Management Practice 4 - Realize Benefits Management Practice 5 - Review Portfolio-based Benefits Management Implementing and Sustaining Progress APMG Managing Benefits Foundation Exam

Recovering Troubled Projects Despite our best intentions, many of the projects that organizations undertake either don't achieve their intended business results or end in complete failure. Most seasoned project managers have had their share of experiences with difficult or troubled projects and unless they are careful, they will encounter more. This workshop does not focus on 'failed' projects but rather on those projects which without appropriate intervention would be headed for failure. Failed projects are those beyond help and which should be terminated. Here we focus on projects that are salvageable. It is an exercise-driven, no-nonsense, professional practice-focused workshop positioning the participant to immediately apply the tools and lessons learned in the classroom. The workshop employs the use of both illustrative and practical/working case studies. Illustrative case studies will examine insights from real-world troubled projects. Participants will be asked to bring descriptions of their own examples of troubled projects on which they're currently working or on which they have worked in the past. A number of these will be used as the basis for the practical/working case studies. The approach builds on and complements the disciplines addressed in Project Management Institute's PMBOK® Guide and also addresses issues that arise when managing projects in a complex environment. What You Will Learn You will learn to: Recognize the value of a structured project recovery process Explain the reasons most projects fail Analyze the causes of a project's troubles Construct a negotiation process to use with key stakeholders Apply an effective strategy to planning the recovery effort Manage, evaluate, and adjust the ongoing recovery effort Foundation Concepts Recognizing a troubled project Defining the project recovery process The Reasons Projects Fail Putting failure in perspective Reviewing management issues Analyzing planning issues Exploring complexity issues Assess the Project Stabilizing the project Determining preliminary Go / No-Go Conducting a detailed recovery assessment Negotiate the Recovery Reviewing the basics of negotiation Setting reasonable expectations Obtaining appropriate PM authority Securing key stakeholder support Plan the Recovery Planning for recoveries Rebuilding the project team Reshaping the project plan Managing parallel activities Planning for change management Implement and Adjust the Project Implementing project recoveries Facilitating change Enabling continuous learning Fostering the project team Sustaining stakeholder engagement