The Project Management Agile with AI Training Course is a practical, hands-on program designed to help professionals successfully manage Agile projects while leveraging Artificial Intelligence (AI) to improve planning, collaboration, decision-making, productivity, and project delivery.
The course introduces participants to Agile project management principles, frameworks, and practices, including Scrum, Kanban, and iterative project delivery, while demonstrating how AI-powered tools such as ChatGPT, Microsoft Copilot, Gemini, Claude, Jira AI, Microsoft Planner, Notion AI, and other productivity solutions can streamline project management activities.
Through interactive workshops, real-world case studies, and team simulations, participants will learn how AI enhances project planning, backlog management, sprint execution, risk management, reporting, stakeholder communication, and project documentation without replacing the critical role of project managers.
Duration 3 Days – 21 hrs.
Objectives
- Understand Agile values, principles, and frameworks.
- Differentiate Agile, Waterfall, and Hybrid project management approaches.
- Apply Scrum and Kanban practices in managing projects.
- Develop Agile project plans, product backlogs, and sprint plans.
- Utilize AI tools to improve project planning, documentation, and reporting.
- Use AI for brainstorming, estimating, scheduling, and risk identification.
- Enhance stakeholder communication using AI-assisted content generation.
- Monitor Agile project performance using Agile metrics and AI insights.
- Automate repetitive project management tasks using AI productivity tools.
- Apply AI ethically, securely, and responsibly within project environments.
Target Audience
- Project Managers
- Scrum Masters
- Product Owners
- Team Leaders
- Project Coordinators
- Business Analysts
- PMO Personnel
- IT Managers
- Software Development Teams
- Operations Managers
- Digital Transformation Teams
- Professionals involved in Agile or business projects
Prerequisites
- Basic understanding of project management concepts
- Basic computer proficiency
- Familiarity with business processes
- No prior Agile or AI experience is required
Course Outline
Day 1 – Agile Project Management Fundamentals
Module 1: Introduction to Agile Project Management
- Traditional vs Agile Project Management
- Agile Manifesto
- Agile Principles
- Agile Mindset
- When to Use Agile
- Agile vs Waterfall vs Hybrid
Module 2: Agile Frameworks
- Scrum Framework
- Kanban
- Lean Principles
- Extreme Programming (XP) Overview
- Choosing the Right Agile Framework
Workshop: Selecting the Appropriate Framework for Different Projects
Module 3: Scrum Fundamentals
- Scrum Roles
- Product Owner
- Scrum Master
- Development Team
- Scrum Artifacts
- Product Backlog
- Sprint Backlog
- Increment
- Scrum Events
- Sprint Planning
- Daily Stand-up
- Sprint Review
- Sprint Retrospective
Module 4: Agile Planning
- User Stories
- Epics
- Story Mapping
- Backlog Prioritization
- Sprint Planning
- Agile Estimation
- Velocity
- Capacity Planning
Hands-on Workshop: Build an Agile Product Backlog
End of Day 1 Outputs
Participants create:
- Product Vision
- Product Backlog
- User Stories
- Sprint Backlog
Day 2 – AI for Agile Project Management
Module 5: Introduction to AI in Project Management
- Understanding Generative AI
- AI Capabilities and Limitations
- Responsible AI
- AI Governance
- Prompt Engineering Fundamentals
Module 6: AI Tools for Project Managers
Overview and demonstrations of:
- ChatGPT
- Microsoft Copilot
- Google Gemini
- Claude AI
- Notion AI
- Jira AI
- Microsoft Planner
- Trello AI Features
- Microsoft Teams AI
Module 7: AI-Powered Agile Planning
Using AI to:
- Create User Stories
- Generate Acceptance Criteria
- Prioritize Backlogs
- Sprint Planning
- Resource Allocation
- Task Breakdown
- Meeting Agendas
- Project Documentation
Hands-on Lab: Using AI to Build a Sprint Plan
Module 8: AI for Project Communication
Using AI to generate:
- Meeting Minutes
- Executive Reports
- Status Updates
- Stakeholder Communications
- Risk Reports
- Action Items
- Project Dashboards
Workshop: AI-Assisted Project Reporting
End of Day 2 Outputs
Participants produce:
- AI-Generated Sprint Plan
- AI Risk Register
- AI Status Report
- AI Stakeholder Communication Plan
Day 3 – Agile Execution, AI Automation & Capstone
Module 9: Agile Project Execution
- Sprint Execution
- Managing Changes
- Continuous Improvement
- Team Collaboration
- Agile Leadership
- Managing Distributed Teams
Module 10: Agile Metrics and AI Analytics
- Burndown Charts
- Velocity
- Sprint Metrics
- Cycle Time
- Lead Time
- Cumulative Flow Diagram
- AI-Assisted Performance Insights
Module 11: AI Automation for Project Managers
Using AI to automate:
- Documentation
- Progress Reports
- Risk Monitoring
- Task Tracking
- Meeting Summaries
- Knowledge Management
- Lessons Learned
Module 12: Agile Project Simulation with AI
Teams will complete an end-to-end Agile project using AI throughout the project lifecycle.
The simulation includes:
- Product Vision
- User Story Creation
- Sprint Planning
- AI Prompt Development
- Sprint Execution
- Daily Stand-up Simulation
- Risk Identification
- AI Status Reporting
- Sprint Review
- Sprint Retrospective
- Final Presentation
Hands-on AI Exercises
Participants will practice using AI to:
- Generate project charters
- Create Agile user stories
- Build product backlogs
- Develop sprint plans
- Estimate effort
- Identify project risks
- Write stakeholder communications
- Produce executive dashboards
- Generate retrospective reports
- Improve prompt engineering for project management tasks
AI Tools Covered
- ChatGPT
- Microsoft Copilot
- Google Gemini
- Claude AI
- Notion AI
- Jira AI
- Microsoft Planner
- Trello
- Microsoft Teams
- Miro AI (Overview)
