Why take this course
If you want to effectively manage projects and get to know the latest PRINCE2® methodology, this training is for you. You will learn the specifics of working on projects, understand the main issues related to project management, and also get to know the characteristics of processes, principles, and roles necessary for effective management. Thanks to this training, you will gain the knowledge and skills that will allow you to work effectively on projects managed in accordance with the PRINCE2® methodology and prepare for an accredited exam.
What you’ll learn
- You will become familiar with the latest, updated edition of the PRINCE2® methodology, introducing a fifth, integrated element: People – as a central element of all projects.
- You will understand the specifics of working on projects and get to know the main issues related to project management in accordance with the PRINCE2® methodology.
- You will gain the knowledge and skills necessary to work on projects managed in accordance with the PRINCE2® methodology.
- You will learn the characteristics of processes, principles, and roles necessary for effective project management.
- You will prepare for the accredited PRINCE2® Foundation, 7th Edition exam.
Who is this course for
This course is intended for all people involved in projects, regardless of their topic and industry. It is perfect for project managers, project team members, people supervising the project, and other project stakeholders. Experience in project work is useful, but it is not a mandatory requirement.
Topics covered
Introduction to PRINCE2®Agile
• What is project management?
• PRINCE2 and Agile – why combine these approaches?
PRINCE2® Agile practices
• Business case
• Organization
• Plans
• Quality
• Risk
• Issues
• Progress
PRINCE2 agile processes
• Starting a project
• Directing a project
• Initiating a project
• Controlling a stage
• Managing product delivery
• Managing stage boundaries
• Closing a project
PRINCE2® Agile in a broader organizational context
Artificial intelligence, data, and automation