Embark on a detailed journey into risk management with our PMI-RMP Certification Masterclass. The course begins with an introduction to the fundamentals of machine learning and then delves into the essential aspects of PMI and PMBOK, including their significance and application. You’ll learn about the eligibility requirements, application processes, certification fees, and exam details to set you on the right path toward PMI-RMP certification.
In the subsequent sections, the course meticulously covers risk management planning, from understanding risk factors and types to exploring risk appetite, tolerance, and profiling. You will grasp the intricacies of the plan risk management process, data analysis, risk budgeting, and critical success factors. Through detailed explanations and case studies, you’ll gain hands-on experience in risk identification, qualitative and quantitative risk analysis, and formulating effective risk responses.
Finally, the course equips you with the skills to monitor and control risks effectively. You’ll learn various tools and techniques for data analysis, conducting risk audits, and maintaining documentation for project closure. The course culminates in comprehensive case studies that provide practical insights into real-world risk management scenarios, ensuring you are well-prepared for the PMI-RMP certification exam and capable of managing risks in any project environment.
This course is ideal for project managers, line managers, aspiring project managers, program managers, and risk management consultants.
PMI-RMP® Certification Training
This course may be unavailable.
Overview
Syllabus
- Introduction
- In this module, we will provide an overview of the PMI-RMP® Certification Training. You'll get acquainted with the course structure, key concepts, and the importance of this certification in enhancing your professional growth.
- Overview of RMP Certification Course
- In this module, we will explore the foundational aspects of the PMI-RMP certification course. You'll learn about PMI and the PMBOK, discover who should consider this certification and why, review the eligibility criteria and timeline, and get detailed instructions on the application process, fees, and exam details. Key takeaways will help reinforce your understanding of the content.
- Plan Risk Management
- In this module, we will delve into the intricacies of planning risk management. You'll explore the various aspects of risk, including types, factors, and examples. The module covers essential concepts like risk appetite, tolerance, profiling, and budgeting. You'll gain insights into the plan risk management process, its inputs, tools, and outputs. Additionally, we'll discuss data analysis, risk analysis, and management roles. Key takeaways and a practical case study will consolidate your understanding of formal risk management practices.
- Identify Risks
- In this module, we will focus on the crucial process of identifying risks within a project. You will learn about the inputs necessary for risk identification and explore various tools and techniques, including historical reviews, creative methods, and stakeholder participation. We will cover different identification strategies such as early, iterative, and emergent identification, along with critical success factors. The module also includes assumption and constraint analysis, SWOT analysis, and practical techniques like Prompt Lists and Delphi. Key takeaways and a detailed case study will help you apply these concepts effectively.
- Perform Qualitative Risk Analysis
- In this module, we will explore the qualitative risk analysis process, highlighting its significance in risk management. You will learn about the various tools and techniques used to perform qualitative risk analysis and the critical success factors that ensure its effectiveness. We'll discuss how to build credibility in your risk assessments by focusing on probability and impact. Additionally, this module will cover risk data quality assessments and the importance of maintaining an updated risk register. Key takeaways and a detailed case study will provide practical insights into performing qualitative risk analysis.
- Perform Quantitative Risk Analysis
- In this module, we will delve into the quantitative aspects of risk analysis. You will explore the necessary inputs and tools used in quantitative risk analysis and learn how to update components and data. The module will cover critical success factors, project risk ranking, and key techniques like probability distribution, sensitivity analysis, EMV, decision tree analysis, simulation, Monte-Carlo analysis, and Latin Hypercube stratified sampling. We will also compare qualitative and quantitative risk analysis methods. Key takeaways and a case study on effort and cost estimation will enhance your understanding and application of these concepts.
- Plan Risk Responses
- In this module, we will cover the comprehensive process of planning risk responses. You'll learn about the necessary inputs, tools, techniques, and outputs, as well as critical success factors that ensure effective risk response planning. We will discuss various risk response strategies, including escalating, avoiding, transferring, mitigating, and accepting risks. Additionally, this module will focus on positive risk strategies, contingency plans, and managing residual and secondary risks. We'll also touch on risk-related contract decisions and project management. Key takeaways and a case study will help solidify your understanding and application of these concepts.
- Monitor Risk
- In this module, we will focus on monitoring and controlling project risks. You will learn about the inputs needed for risk monitoring, as well as the tools and techniques, such as data analysis and meetings, to ensure effective monitoring. We'll discuss the outputs of this process, including risk reassessments and audits, and cover the importance of documenting the risk monitoring process and managing project closure. Key takeaways and a case study will provide practical insights into the application of these concepts in real-world scenarios.
Taught by
Packt
