Chapter 1: Project Management Fundamentals
- 1.1 Projects vs. Business-as-Usual (BAU)
- 1.2 Key PM Terminology (Scope, Stakeholders, Deliverables)
- 1.3 Simplified Project Lifecycle
Chapter 2: Project Definition
- 2.1 SMART Objectives
- 2.2 AI-Powered SMART Objective Generation
- 2.3 Stakeholder Identification & Mapping
- 2.4 AI-Powered Stakeholder Analysis
Chapter 3: Scope Management
- 3.1 Scope Statement Development
- 3.2 Preventing Scope Creep
Chapter 4: Project Initiation Lab
- 4.1 Drafting a Project Charter (Hands-on Exercise) SQLite)
- 4.2 AI Tools for Project Charter Development
- 4.3 AI Tools Demonstration
Chapter 5: Work Planning
- 5.1 Work Breakdown Structure (WBS)
- 5.2 Time/Effort Estimation Techniques
- 5.3 Risk Identification & Logging
Chapter 6: Scheduling & Prioritization
- 6.1 Eisenhower Matrix
- 6.2 Timeline Creation (Gantt Charts in Excel/Teams)
Chapter 7: Communication Strategies
- 7.1 Stakeholder Updates
- 7.2 Effective Meeting/Email Management
Chapter 8: Execution Lab
- 8.1 Building a Project Plan & Resolving Issues (Role-play)
- 8.2 AI-Enhanced Task Management
- 8.3 Practical AI Implementation
- 8.4 AI-Powered Prioritization Exercise
Chapter 9: Progress Tracking
- 9.1 Metrics & Dashboards
- 9.2 Kanban Boards (Trello/Teams)
Chapter 10: Change Management
- 10.1 Change Request Process
- 10.2 Scope Negotiation Techniques
- 10.3 AI & Project Work: The New Frontie
- 10.4 AI Tools in Practice: Your New Toolkit
- 10.5 Practical AI Applications
Chapter 11: Problem-Solving
- 11.1 Root Cause Analysis (5 Whys)
- 11.2 Conflict Resolution
- 11.3 AI Risk & Ethics in Project Management
- 11.4 Navigating AI Ethics: Practical Guidelines
Chapter 12: Project Closure
- 12.1 Lessons Learned Retrospectives
- 12.2 Celebrating Success
- 12.3 AI-Powered Project Insights
- 12.4 Implementing AI-Powered Retrospectives
- 12.5 AI Ethics Discussion Forum
- 12.6 Creating Your Personal AI Toolkit