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)
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)
Portfolio, Programme, and Project Offices (P3O®) Practitioner P3O® is the AXELOS standard for the design of decision-making processes regarding changes in organizations. P3O provides a guideline for the design of portfolio, programme, and project offices in organizations. The P3O Practitioner Course is an interactive learning experience. The P3O Practitioner-level content provides you with sufficient knowledge and understanding of the P3O guidance to design, implement, manage or work within any component office of a P3O model. It enables participants to successfully complete the associated P30 Practitioner exam and achieve the qualification. In this course, you will be prepared to successfully attempt the P3O Practitioner exam and learn how to implement or re-energize a P3O model in their own organization. What you will Learn At the end of the P3O Practitioner course, you will be able to: Define a business case to get senior management approval for P3O Build a right P3O model to adapt to the organization's needs, taking account of the organization's size and portfolio, programme and project management maturity Identify the elements, roles, and functions deployed in a generalized P3O model Use tools and techniques in running the P3O and advising those who shape the portfolio of programmes and projects Introduction to P3O What is the purpose of P3O? Definitions What are P3Os? Portfolio, programme, and project lifecycles Governance and the P3O Designing a P3O Model Factors that affect the design Design considerations What functions and services should the P3O offer? Roles and responsibilities Sizing and tailoring of the P3O model Why have a P3O? How a P3O adds value Maximizing that value Getting investment for the P3O Overcoming common barriers Timescales Why have a P3O (Extension)? The P3O Business Case The P3O Model Blueprint Vision Statement Demonstrating the Value KPIs The Benefits of Claimed Capabilities Benefit Realisation and Strategic Objectives Benefit Profile How to Implement or Re-Energize a P3O Implementation lifecycle for a permanent P3O Identify Define Deliver Close Implementation lifecycle for a temporary programme or project office Organizational context Definition and implementation Running Closing Recycling How to operate a P3O Overview of tools and techniques Benefits of using standard tools and techniques Critical success factors P3O tools P3O techniques
Portfolio, Programme, and Project Offices (P3O®) Practitioner: In-House Training P3O® is the AXELOS standard for the design of decision-making processes regarding changes in organizations. P3O provides a guideline for the design of portfolio, programme, and project offices in organizations. The P3O Practitioner Course is an interactive learning experience. The P3O Practitioner-level content provides you with sufficient knowledge and understanding of the P3O guidance to design, implement, manage or work within any component office of a P3O model. It enables participants to successfully complete the associated P30 Practitioner exam and achieve the qualification. In this course, you will be prepared to successfully attempt the P3O Practitioner exam and learn how to implement or re-energize a P3O model in their own organization. What you will Learn At the end of the P3O Practitioner course, you will be able to: Define a business case to get senior management approval for P3O Build a right P3O model to adapt to the organization's needs, taking account of the organization's size and portfolio, programme and project management maturity Identify the elements, roles, and functions deployed in a generalized P3O model Use tools and techniques in running the P3O and advising those who shape the portfolio of programmes and projects Introduction to P3O What is the purpose of P3O? Definitions What are P3Os? Portfolio, programme, and project lifecycles Governance and the P3O Designing a P3O Model Factors that affect the design Design considerations What functions and services should the P3O offer? Roles and responsibilities Sizing and tailoring of the P3O model Why have a P3O? How a P3O adds value Maximizing that value Getting investment for the P3O Overcoming common barriers Timescales Why have a P3O (Extension)? The P3O Business Case The P3O Model Blueprint Vision Statement Demonstrating the Value KPIs The Benefits of Claimed Capabilities Benefit Realisation and Strategic Objectives Benefit Profile How to Implement or Re-Energize a P3O Implementation lifecycle for a permanent P3O Identify Define Deliver Close Implementation lifecycle for a temporary programme or project office Organizational context Definition and implementation Running Closing Recycling How to operate a P3O Overview of tools and techniques Benefits of using standard tools and techniques Critical success factors P3O tools P3O techniques
Portfolio, Programme, and Project Offices (P3O®) Foundation: In-House Training P3O® is the AXELOS standard for the design of decision-making processes regarding changes in organizations. P3O provides a guideline for the design of portfolio, programme, and project offices in organizations. The P3O Foundation course is an interactive learning experience. The P3O Foundation-level content provides you with sufficient knowledge and understanding of the P3O guidance to interact effectively with, or act as an informed member of, an office within a P3O model. It enables you to successfully complete the associated P30 Foundation exam and achieve the qualification. In this course, you will be prepared to successfully attempt the P3O Foundation exam and learn how to implement or re-energize a P3O model in their own organization. What you will Learn Individuals certified at the P3O Foundation level will be able to: Define a high-level P3O model and its component offices List the component offices in a P3O model Differentiate between Portfolio, Programme, and Project Management List the key functions and services of a P3O List the reasons for establishing a P3O model Compare different types of P3O models List the factors that influence selection of the most appropriate P3O model for an organization Define the processes to implement or re-energize a P3O Benefits: Fast-track programme for those who want to achieve P3O Foundation qualification Practical case study and scenarios Attractive slides and course book Introduction to P3O What is the purpose of P3O? Definitions What are P3Os? Portfolio, programme, and project lifecycles Governance and the P3O Designing a P3O Model Factors that affect the design Design considerations What functions and services should the P3O offer? Roles and responsibilities Sizing and tailoring of the P3O model Introduction to P3O What is the purpose of P3O? Definitions What are P3Os? Portfolio, programme, and project lifecycles Governance and the P3O Designing a P3O Model Factors that affect the design Design considerations What functions and services should the P3O offer? Roles and responsibilities Sizing and tailoring of the P3O model Why Have a P3O? How a P3O adds value Maximizing that value Getting investment for the P3O Overcoming common barriers Timescales How to Implement or Re-Energize a P3O Implementation lifecycle for a permanent P3O Identify Define Deliver Close Implementation lifecycle for a temporary programme or project office Organizational context Definition and implementation Running Closing Recycling How to Operate a P3O Overview of tools and techniques Benefits of using standard tools and techniques Critical success factors P3O tools P3O techniques
Portfolio, Programme, and Project Offices (P3O®) Foundation P3O® is the AXELOS standard for the design of decision-making processes regarding changes in organizations. P3O provides a guideline for the design of portfolio, programme, and project offices in organizations. The P3O Foundation course is an interactive learning experience. The P3O Foundation-level content provides you with sufficient knowledge and understanding of the P3O guidance to interact effectively with, or act as an informed member of, an office within a P3O model. It enables you to successfully complete the associated P30 Foundation exam and achieve the qualification. In this course, you will be prepared to successfully attempt the P3O Foundation exam and learn how to implement or re-energize a P3O model in their own organization. What you will Learn Individuals certified at the P3O Foundation level will be able to: Define a high-level P3O model and its component offices List the component offices in a P3O model Differentiate between Portfolio, Programme, and Project Management List the key functions and services of a P3O List the reasons for establishing a P3O model Compare different types of P3O models List the factors that influence selection of the most appropriate P3O model for an organization Define the processes to implement or re-energize a P3O Benefits: Fast-track programme for those who want to achieve P3O Foundation qualification Practical case study and scenarios Attractive slides and course book Introduction to P3O What is the purpose of P3O? Definitions What are P3Os? Portfolio, programme, and project lifecycles Governance and the P3O Designing a P3O Model Factors that affect the design Design considerations What functions and services should the P3O offer? Roles and responsibilities Sizing and tailoring of the P3O model Introduction to P3O What is the purpose of P3O? Definitions What are P3Os? Portfolio, programme, and project lifecycles Governance and the P3O Designing a P3O Model Factors that affect the design Design considerations What functions and services should the P3O offer? Roles and responsibilities Sizing and tailoring of the P3O model Why Have a P3O? How a P3O adds value Maximizing that value Getting investment for the P3O Overcoming common barriers Timescales How to Implement or Re-Energize a P3O Implementation lifecycle for a permanent P3O Identify Define Deliver Close Implementation lifecycle for a temporary programme or project office Organizational context Definition and implementation Running Closing Recycling How to Operate a P3O Overview of tools and techniques Benefits of using standard tools and techniques Critical success factors P3O tools P3O techniques
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
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
Certified Associate in Project Management (CAPM)® Exam Prep This course gives you the knowledge you need to pass the exam and covers CAPM®-critical information on project management theory, principles, techniques, and methods Are you planning on taking the CAPM® examination? This course gives you the knowledge you need to pass the exam and covers CAPM®-critical information on project management theory, principles, techniques, and methods. You'll also have an opportunity for practical applications and time to review the kinds of questions you'll find in the CAPM® Exam. What you Will Learn Apply for the CAPM® Examination Develop a personal exam preparation plan Describe the structure, intent, and framework principles of the current edition of the PMBOK® Guide Explain the PMBOK® Guide Knowledge Areas, as well as their inter-relationships with the each other and the Process Groups Getting Started Program orientation The CAPM® certification process Certified Associate in Project Management (CAPM®) Examination Content Outline CAPM® eligibility requirements Code of Ethics and Professional Conduct Application options Foundation Concepts Skills and qualities of a project manager Project management terminology and definitions Relationship of project, program, portfolio, and operations management Project lifecycle approaches Project Integration Management Review Project Integration Management Knowledge Area Develop Project Charter Develop Project Management Plan Direct and Manage Project Work Manage Project Knowledge Monitoring and Controlling Perform Integrated Change Control Close Project or Phase Project Stakeholder Management Review Project Stakeholder Management Knowledge Area Identify Stakeholders Plan Stakeholder Engagement Manage Stakeholder Engagement Monitor Stakeholder Engagement Project Scope Management Review Project Scope Management Knowledge Area Plan Scope Management Collect Requirements Define Scope Create WBS Validate Scope Control Scope Project Schedule Management Review Project Schedule Management Knowledge Area Plan Schedule Management Define Activities Sequence Activities Estimate Activity Durations Develop Schedule Control Schedule Project Cost Management Review Project Cost Management Knowledge Area Plan Cost Management Estimate Costs Determine Budget Control Schedule Project Resource Management Review Project Resource Management Knowledge Area Plan Resource Management Estimate Activity Resources Acquire Resources Develop Team Manage Team Control Resources Project Quality Management Review Project Quality Management Knowledge Area Plan Quality Management Manage Quality Control Quality Project Risk Management Review Project Risk Management Knowledge Area Plan Risk Management Identify Risks Perform Qualitative Risk Analysis Perform Quantitative Risk Analysis Plan Risk Responses Implement Risk Responses Monitor Risks Project Communications Management Review Project Communications Management Knowledge Area Plan Communications Management Manage Communications Monitor Communications Project Procurement Management Review Project Procurement Management Knowledge Area Plan Procurement Management Conduct Procurements Control Procurements Summary and Next Steps Program Review Mock CAPM® Exam Getting Prepared for the CAPM® Exam After the CAPM® Exam
Certified Associate in Project Management (CAPM)® Exam Prep: In-House Training: In-House Training This course gives you the knowledge you need to pass the exam and covers CAPM®-critical information on project management theory, principles, techniques, and methods Are you planning on taking the CAPM® examination? This course gives you the knowledge you need to pass the exam and covers CAPM®-critical information on project management theory, principles, techniques, and methods. You'll also have an opportunity for practical applications and time to review the kinds of questions you'll find in the CAPM® Exam. What you Will Learn Apply for the CAPM® Examination Develop a personal exam preparation plan Describe the structure, intent, and framework principles of the current edition of the PMBOK® Guide Explain the PMBOK® Guide Knowledge Areas, as well as their inter-relationships with the each other and the Process Groups Getting Started Program orientation The CAPM® certification process Certified Associate in Project Management (CAPM®) Examination Content Outline CAPM® eligibility requirements Code of Ethics and Professional Conduct Application options Foundation Concepts Skills and qualities of a project manager Project management terminology and definitions Relationship of project, program, portfolio, and operations management Project lifecycle approaches Project Integration Management Review Project Integration Management Knowledge Area Develop Project Charter Develop Project Management Plan Direct and Manage Project Work Manage Project Knowledge Monitoring and Controlling Perform Integrated Change Control Close Project or Phase Project Stakeholder Management Review Project Stakeholder Management Knowledge Area Identify Stakeholders Plan Stakeholder Engagement Manage Stakeholder Engagement Monitor Stakeholder Engagement Project Scope Management Review Project Scope Management Knowledge Area Plan Scope Management Collect Requirements Define Scope Create WBS Validate Scope Control Scope Project Schedule Management Review Project Schedule Management Knowledge Area Plan Schedule Management Define Activities Sequence Activities Estimate Activity Durations Develop Schedule Control Schedule Project Cost Management Review Project Cost Management Knowledge Area Plan Cost Management Estimate Costs Determine Budget Control Schedule Project Resource Management Review Project Resource Management Knowledge Area Plan Resource Management Estimate Activity Resources Acquire Resources Develop Team Manage Team Control Resources Project Quality Management Review Project Quality Management Knowledge Area Plan Quality Management Manage Quality Control Quality Project Risk Management Review Project Risk Management Knowledge Area Plan Risk Management Identify Risks Perform Qualitative Risk Analysis Perform Quantitative Risk Analysis Plan Risk Responses Implement Risk Responses Monitor Risks Project Communications Management Review Project Communications Management Knowledge Area Plan Communications Management Manage Communications Monitor Communications Project Procurement Management Review Project Procurement Management Knowledge Area Plan Procurement Management Conduct Procurements Control Procurements Summary and Next Steps Program Review Mock CAPM® Exam Getting Prepared for the CAPM® Exam After the CAPM® Exam