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THE AGILE PROJECT MANAGER: Essentials for the Future of Work

Overview

Project management has evolved beyond traditional planning and execution—modern project managers must now integrate AI-driven project tracking, risk mitigation analytics, and automated workflow management to enhance efficiency and optimize outcomes. AI-powered tools are transforming how project managers plan, execute, and control projects, making future-ready management skills essential.

This AI-Enhanced Project Management Essentials program prepares professionals to blend human expertise with AI-driven insights, ensuring they are equipped to lead projects with agility, precision, and strategic foresight. Participants will engage in self-assessments, self-discovery and critique, group exploration, facilitator-led discussions, game-based learning, practical exercises, and best practice theory exploration. By the end of the program, they will have the confidence and competence to apply project management principles in real-world scenarios.

Price: $4,500.00

5-Day Training Program (4 Hours per Day)

Delivery Methods

🔹 Self-Assessments & Reflection – Self-discovery exercises for deeper insights
🔹 Games-Based Learning – Interactive challenges that reinforce thinking skills
🔹 Facilitator-Led Discussions – Engaging conversations with real-world applications
🔹 Case Studies & Business Scenarios – Exploring successes and failures
🔹 Group Problem-Solving & Debates – Encouraging diverse perspectives
🔹 Experiential Learning & Hands-on Activities – Bringing concepts to life

Objectives:

By the end of this program, participants will be able to:

  • Understand the core concepts, phases, and methodologies of project management.
  • Leverage AI-powered project management tools – Use AI-driven scheduling and automation to optimize planning and task allocation.
  • Develop effective project plans, including scope, timeline, resources, and budget.
  • Utilize project management tools (Gantt charts, responsibility matrices, etc.).
  • Identify risks and proactively mitigate them.
  • Manage and communicate with key stakeholders effectively.
  • Use AI-driven stakeholder engagement insights – Explore how AI-powered sentiment tracking helps manage expectations and optimize communication.
  • Monitor, control, and adjust projects to ensure successful outcomes.
  • Reflect on their project management style and improve team collaboration.

Programme Outline

Day 1: Foundations of Project Management

Key Topics

  • Introduction to Project Management (Why Projects Fail and Succeed)
  • Project Lifecycle (Initiation, Planning, Execution, Monitoring, Closing)
  • AI & Project Lifecycle Optimization: How AI-powered automation improves workflow efficiency across project phases.
  • Project Management Methodologies (Waterfall, Agile, Hybrid)
  • Understanding Project Scope and Objectives
  • Stakeholder Identification and Analysis

Activities

  • Self-Assessment: “What kind of Project Manager am I?”
  • Game-Based Learning: “Project Survival Challenge” – teams navigate project challenges.
  • Group Exploration: Common project pitfalls and success factors.
  • Facilitator-Led Discussion: Agile vs. Traditional PM – What works best?
  • Practical Exercise: Define a project scope statement.

 

Day 2: Project Planning & Scheduling

Key Topics

  • Setting SMART Project Goals
  • Work Breakdown Structure (WBS) – Defining Tasks and Deliverables
  • Project Scheduling Techniques (Gantt Charts, Critical Path Method)
  • AI for Smart Scheduling & Resource Optimization: How AI-powered planning tools dynamically adjust schedules based on workload and priority shifts.
  • Resource Planning and Budgeting
  • AI-Driven Budget Forecasting: How AI-powered financial models enhance accuracy in project budgeting and cost control.
  • Identifying and Managing Project Constraints (Time, Cost, Scope)

Activities

  • Self-Discovery & Critique: Analyse your past project planning experiences.
  • Facilitator-Led Discussion: The biggest planning mistakes and how to avoid them.
  • Game-Based Learning: “The Planning Puzzle” – teams create project schedules under constraints.

Practical Exercise: Develop a WBS and Gantt Chart for a sample project.

Day 3: Risk Management & Problem Solving

Key Topics

  • Understanding Risk Management (Identifying, Assessing, and Mitigating Risks)
  • AI-Powered Risk Identification & Mitigation: How AI-driven risk tracking anticipates project challenges before they arise.
  • AI & Crisis Management: How AI-powered predictive models suggest best-case responses to unexpected issues.
  • Decision-Making Strategies in Project Management
  • Change Management and Handling Uncertainty
  • Problem-Solving Tools (5 Whys, Fishbone Diagram, Decision Trees)
  • Contingency Planning and Crisis Management

Activities

  • Self-Assessment: “How do I handle risk and uncertainty?”
  • Group Exploration: Case study on project risk gone wrong.
  • Game-Based Learning: “The Risk Challenge” – Simulating project crises.
  • Practical Exercise: Create a Risk Register for an ongoing project.
  • AI-Driven Risk Register Simulation – Participants use AI-generated data to create a proactive risk mitigation plan.

Day 4: Leadership, Communication & Stakeholder Management

Key Topics

  • Role of Leadership in Project Management
  • Effective Project Communication Strategies
  • Managing Stakeholder Expectations
  • Conflict Resolution in Projects
  • Motivating and Managing Project Teams

Activities

  • Self-Discovery & Critique: Personal leadership style assessment.
  • Facilitator-Led Discussion: Navigating difficult stakeholder conversations.
  • Game-Based Learning: “The Stakeholder Negotiation” – Handling competing interests.
  • Practical Exercise: Develop a stakeholder communication plan.
  • AI-Assisted Stakeholder Communication Strategy – Participants use AI-powered sentiment tracking to refine engagement strategies.

Day 5: Project Execution, Monitoring & Closing

Key Topics

  • Executing and Controlling Project Work
  • Monitoring Progress and Measuring Performance (KPIs, Earned Value)
  • Handling Scope Creep and Change Requests
  • Project Closure and Lessons Learned
  • AI for Post-Project Analysis & Lessons Learned: How AI-driven retrospectives provide data-backed insights on project efficiency
  • Best Practices for Continuous Improvement

Activities

  • Self-Assessment: “How do I track and measure project success?”
  • Group Exploration: Case study on real-life project execution failures and wins.
  • Game-Based Learning: “The Post-Mortem Game” – teams analyse a completed project.
  • Practical Exercise: Develop a project closure report and lessons-learned document.

Final Takeaways & Action Planning

  • Reflect on personal project management growth.
  • Develop an individual action plan for applying new skills.
  • Identify immediate improvements to apply to current projects.
  • Closing Q&A and feedback session.

This comprehensive, interactive, and hands-on training will leave participants equipped with practical project management skills, ensuring they can lead successful projects with confidence and efficiency.