Transform project delivery with AI-powered planning, execution, and decision-making.

AI is changing how projects are managed and delivered. This 2-day training equips participants with practical AI tools and Agile frameworks to streamline workflows, improve collaboration, and deliver projects more efficiently.

  • Why get trained: Learn to integrate AI into project planning, execution, risk management, team collaboration, and strategic decision-making using tools like ChatGPT, Copilot, and Gemini.
  • Why it matters: Improve productivity, make data-driven decisions, manage project challenges effectively, and enhance delivery outcomes while adopting AI responsibly.
  • Who should attend: Scrum Masters, Transformation Leaders, Project Managers, Program Managers, Delivery Managers, Product Owners, and Product Managers.

Gain hands-on experience through interactive workshops, real-world case studies, practical exercises, AI tool demonstrations, and expert guidance. HRD Corp Claimable.

Overview

Step into the future of Project Management with our  AI-Enabled Agile Project Management course. In just two action-packed days, you’ll explore how AI and Project Management come together to revolutionize project management and delivery. This hands-on course blends Agile fundamentals with cutting-edge AI tools like ChatGPT, Deepseek, Copilot, Gemini, Jira Align, and more.

This program delves into the core principles of effective project management, integrating traditional methodologies and Agile practices. Discover how cutting-edge AI tools can transform your approach to planning, executing, and delivering projects. Engage in interactive sessions, hands-on exercises, and real-world case studies to unlock the full potential of AI-driven project management. Whether you’re managing small teams or large enterprises, this course equips you with the insights and techniques to lead your projects to success.

Perfect for Project and Delivery Managers, this course ensures you’re ready to lead with AI, streamline workflows, and drive efficiency in Agile environments. Join us and future-proof your Agile skills!

Skills Covered

  • Gain a comprehensive understanding of traditional and Agile project management methodologies.
  • Learn how to effectively integrate AI tools to enhance project planning, execution, and delivery.
  • Utilize AI-driven insights to make informed and strategic project decisions.
  • Discover techniques to leverage AI for improving team collaboration, productivity, and conflict resolution.
  • Understand the ethical considerations and best practices for responsible AI implementation in project management.
  • Get hands-on experience with cutting-edge AI tools like ChatGPT, Copilot, and Deepseek, and learn how to apply them in real-world scenarios.

Prerequisites

None

Target Audience

  • Scrum Master
  • Transformation Leader
  • Project Manager
  • Program Manager
  • Delivery Manager
  • Product Owner
  • Product Manager

Course Curriculum

Module 1: Delivery Modes in the Age of AI

  1. Explore how AI enables adaptive delivery models, predicting work patterns, optimizing flow, and balancing resource allocation across projects, products, and continuous flow modes.
  2. Use AI simulations to model anti-fragility, complexity, and system stress.
  3. Apply Gen AI copilots (e.g., ChatGPT, Copilot, Gemini) for communication support, creative ideation, and conflict-resolution coaching.

Module 2: Evolving Management in an AI-Augmented Enterprise

  • Understand how AI shifts managerial work from control to decision enablement.
  • Explore AI-powered servant leadership: sentiment analysis for team mood tracking, and coaching prompts for Management practices.
  • Examine PMI’s AI Maturity Model for Project Managers—capability tiers from augmentation → collaboration → orchestration.

Module 3: Optimizing the System with Predictive & Prescriptive AI

  1. Use predictive analytics for throughput, cycle time, and risk forecasting.
  2. Apply AI process-mining tools to detect systemic bottlenecks and hand-off delays.
  3. Introduce AI-based actionable metrics — leveraging live data from Jira, Azure DevOps, or Trello to visualize flow
  4. Learn how AI can distinguish vanity vs value metrics automatically.

Module 4: Navigating Governance, Compliance & AI Ethics

  1. Understand new governance challenges — bias, privacy, and traceability in AI-assisted decision making.
  2. Explore AI-supported audit trails and AI-aware contracts (e.g., “human-in-the-loop” clauses).
  3. Learn regulatory frameworks: PMI’s Responsible AI principles, EU AI Act, ISO/IEC 42001.

Module 5: Empowering High Performance with GenAI

  1. Leverage AI for team enablement—AI to summarize stand-ups, retrospectives, and backlog discussions.
  2. Use AI-based behavioral analytics to identify burnout or team disengagement early.
  3. Explore Gen AI tools that automate status reporting, knowledge capture, and continuous learning.

Module 6: Structuring for Rapid Feedback Using AI Insights

  1. Discover how AI-driven feedback loops accelerate inspection and adaptation.
  2. Apply NLP sentiment models to analyze customer feedback, retrospectives, and team health surveys.
  3. Use Gen AI to craft facilitation scripts, empathy maps, and retrospectives that respond to tone and trend data.

Module 7: Identifying & Communicating Value with AI

  1. Learn AI-enhanced value modeling — using algorithms to correlate business outcomes with backlog priorities.
  2. Use Gen AI to generate value hypotheses or business cases from user interviews or raw notes.
  3. Demonstrate AI tools that translate customer data into value scorecards.

Module 8: Redefining Successful Delivery with AI Analytics

  1. Shift from on-time/on-budget to on-value/on-learning, supported by AI data models.
  • Apply AI-driven flow analytics to measure true value throughput.
  1. Introduce AI-augmented backlog hygiene (auto-detecting duplicate or stale items).

Module 9: Leveraging Constraints Through AI-Enhanced Risk Intelligence

  • Use machine learning to predict risks and cost-of-delay scenarios.
  • Build an AI-enabled dynamic risk register that updates from live sprint data.
  • Use Gen AI to produce risk narratives—human-readable summaries of complex probability models.

Module 10: Adaptive Planning with AI Forecasting

  • Learn scenario simulation using AI tools for multiple backlogs and funding strategies.
  • Apply reinforcement learning ideas for dynamic re-prioritization.
  • Use Gen AI to generate and compare adaptive charters and OKRs from evolving stakeholder input.

Module 11: Monitoring & Communicating Progress Using AI

  • Build AI dashboards that integrate delivery data and generate stakeholder narratives.
  • Use Gen AI assistants to write progress summaries, executive updates, or PI retrospectives.
  • Explore AI-driven stakeholder sentiment tracking to identify friction early.

Dates & Locations

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