The Project Management Foundations Workshop follows the complete project lifecycle, from defining the project context and engaging stakeholders through planning, execution, monitoring, and closure. Participants explore practical tools and techniques that support effective project delivery across predictive, Agile, and hybrid environments.

Project Context and Approach

• Projects, products, and business processes
• Project management and the project lifecycle
• Defining project success
• Predictive, Waterfall, and Agile approaches

Partnering with Stakeholders

• Key project roles and responsibilities
• Responsibility Assignment Matrices
• Using RACI diagrams to clarify accountability

Initiating the Project

• The predictive project lifecycle
• The purpose and structure of a project charter

Planning the Project

• Project management plan best practices
• Core components of the project management plan
• Balancing project constraints and competing priorities

Defining Project Scope

• The purpose of a Work Breakdown Structure (WBS)
• Creating and organizing a WBS

Defining and Estimating Activities

• Breaking project work into manageable activities
• Understanding the difference between effort and duration
• Defining project activities

Developing the Project Schedule

• Activity dependencies, leads, and lags
• Critical path and float
• Schedule compression techniques
• Common schedule formats
• Developing a project budget
• Creating a project schedule and budget

Planning Project Communications

• Tailoring communications to stakeholder needs
• Common project communication challenges
• Project communication best practices
• Using a communications matrix
• Creating a project communications plan

Planning Project Risk Management

• Common challenges in identifying project risks
• Known risks, unknown risks, and uncertainty
• Qualitative risk analysis
• Planning appropriate risk responses
• Creating and maintaining a risk register

Artificial Intelligence in Project Management

• Generative AI and Artificial General Intelligence
• Potential applications of AI in project management
• Opportunities, limitations, and risks associated with AI tools

Executing the Project

• Leading and managing project work
• Developing effective project teams
• Building trust and collaboration
• Engaging stakeholders throughout delivery

Monitoring and Controlling the Project

• Managing project changes
• Tracking progress and reporting performance
• Monitoring and controlling the project schedule
• Monitoring communications, risks, and stakeholder engagement
• Key priorities for effective project control

Closing the Project

• Closing projects, phases, and major milestones
• Capturing lessons learned
• Recognizing and celebrating project success

Workshop Wrap-Up

• Review of outstanding questions and discussion topics
• New ideas, confirmations, and practical takeaways