Agile Project Management with AI

Agile Project Management & Scrum — With AI

The Competitive Edge for Modern Project Managers

Build products faster, reduce uncertainty, and lead with confidence. This book turns Agile and Scrum into a practical, AI-powered playbook for modern teams and busy project managers.

From vision and roadmapping to sprints, reviews, and retrospectives, you'll learn how to apply Agile the right way—and how to use AI to plan better, write clearer stories, forecast realistically, and deliver value with less overhead.

What You'll Learn

Foundations of Agile & Scrum – Understand values, principles, roles, events, and artifacts—without the jargon.
AI-Assisted Planning – Use prompts and workflows to build roadmaps, refine backlogs, and shape sprint goals.
Better Requirements, Faster – Generate clear user stories, acceptance criteria, and story splits in minutes.
Estimation & Forecasting – Improve velocity forecasts and release plans with data and lightweight models.
Execution & Visibility – Track progress with burndown, burnup, and cumulative flow—plus automated status updates.
Quality & Risk – Build quality in from day one, manage tech debt, and use risk burndown to stay ahead.
EVM in Agile – Translate traditional reporting into Agile-friendly metrics and dashboards.
Scaling & Org Agility – Coordinate multi-team delivery and align portfolio goals with team reality.

What's Inside

✅ Step-by-step playbooks for every Scrum event—from kickoff to release.
✅ Downloadable templates for vision, roadmap, product datasheet, backlog, and sprint planning.
✅ Ready-to-use AI prompts for story writing, refinement, risk analysis, and reporting.
✅ Charts & scorecards (burndown, burnup, cumulative flow, Agile-EVM) you can adapt quickly.

Why This Book is Different

It's practical and tool-ready. You'll get clear guidance, proven patterns, and AI workflows that reduce meetings, speed up decisions, and keep stakeholders aligned—without turning your process into busywork.

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AI Systems with Claude, for Scrum Masters and Project Managers

Most AI pilots in project management do not fail on the model. They fail because somebody pointed the thing at a decision instead of at a task. This course is built around that distinction, and around the work that follows once you get it right.

Seven sections, taught against one running project from the first lecture to the last. You watch a system get built, then you build the same one against your own sprint. Nothing here is a demo that works only on the example.

You finish with five working systems and you keep them. The sprint report machine turns your board export and standup notes into the report you currently write by hand. The retro intelligence system tells you what the team keeps saying, not just what it said this time. The stakeholder comms engine drafts the update in the register the audience expects. The backlog health monitor flags the quiet decay nobody has time to check for. The risk and dependency tracker follows the chains that actually bite.

Seventy-six working files ship with it, across four sections, so every system is built against real sprint data rather than material invented for a slide. Four sprints of retrospectives, board exports, standup notes, backlog and risk data.

Explore the Course

Build complete project plans in minutes with AI

Learn how to use AI to create charters, WBSs, schedules, risk registers, and executive reports while staying in control. This course gives you prompt templates and practical workflows based on real project work. Practical skills, tools, and guidance you can apply right away. Covered by Udemy's 30-day refund policy.

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