How to Get a Job For Project Managers

Learn how to write resume and interview

Leadership for Project Managers

Learn how to lead and drive project success.

Project Management with AI

From a beginner to project management professional.

Agile Project Management and SCRUM with AI

Learn to run Scrum and Agile with AI.

Release Planning

A mid-range planning effort that coordinates several sprints to achieve a specific release objective.

Key Points

  • Connects sprint-level work to a clear release goal over multiple iterations.
  • Uses team velocity and capacity to forecast scope and timing for the release.
  • Surfaces cross-team dependencies, risks, and key milestones.
  • Produces a high-level plan and criteria for release readiness (e.g., quality gates, DoD).

Example

A product team plans the next 4 two-week sprints to launch instant transfers. They forecast 120 story points based on historical velocity, prioritize the highest-value features, align with the API team for an integration dependency, set a target release window, and define success metrics and release criteria.

PMP Example Question

During a quarterly session, the team and stakeholders set a release goal, map dependencies across four sprints, and forecast scope using velocity. What activity are they performing?

  1. Sprint Planning
  2. Release Planning
  3. Product Roadmapping
  4. Daily Scrum

Correct Answer: B — Release Planning

Explanation: Release planning is a medium-term activity that aligns multiple sprints toward a defined release outcome, including forecasting, dependencies, and milestones.

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.

Eight teaching 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 the Sprint Reporting System, Not Another Prompt

AI Systems with Claude is our own course for Scrum Masters and Agile Project Managers, taught against one running project across eight teaching sections. You build five working systems and keep them: the sprint report machine, the retro intelligence system, the stakeholder comms engine, the backlog health monitor, and the risk and dependency tracker. Direct from HK School of Management, not on Udemy.

See What Is Included