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Lessons learned is a theory, or conclusion, based on evidence at a given time and describes what went wrong (as well as what went right) throughout the lifecycle of a project. Although it’s completed during the project closeout process, it should occur during the entire project lifecycle to ensure all information is captured and documented. Consequences of not having a project review of lessons learned are the increased likelihood of repeating actions that might have caused:
Course Code: 2209
Black Belt is an extension of the Green Belt skillset. The topics presented are to extend the breadth and depth of methods across the various phases of the roadmap.
Course Code: 6285
New – Acquire the skills of a Scrum Master and required knowledge to help you maximize the value and productivity of your team.
Course Code: 6300
New – Product Owners can learn to maximize return on investment through well managed product requirements in a scrum environment. Learn more with Global Knowledge.
Course Code: 831252
The future of project management lies at the intersection of human creativity and technological leverage. Our AI for Project Management course is an immersive and interactive journey to prepare experienced project management professionals for the AI-empowered future....
Learn how the roles of a project manager and business analyst intersect to ensure a project's success.
Discover which conditions are needed for effectively playing the roles of project manager (PM) and business analyst (BA) simultaneously.
Learn how to start your IT projects with a strong plan of attack so you can prevent many of the pitfalls that lead to missed deadlines and stakeholder frustration. DOWNLOAD NOW >
Course Code: 2108
Understand Lean fundamental concepts and tools and how Lean and Six Sigma are highly complimentary. Start by identifying and eliminating the eight wastes. Enroll in our Lean Fundamentals training course from Global Knowledge today!
Course Code: 821855
Exclusive – Learners will identify the unique characteristics and challenges of AI/ML projects, understand common AI/ML terminology, evaluate and mitigate AI-specific risks, and lead and communicate effectively with cross-functional teams as well as key business stakeholders. Us...