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The Agile Project Manager Master Class Course gives project managers, delivery leads, and transformation professionals a comprehensive, strategically grounded agile mastery programme — covering the Agile manifesto, growth mindset, servant leadership, value-driven delivery, Scrum, design thinking, agile risk management, organisational agility, AI in agile projects, and scaling across a five-day master class that develops both agile thinking and applied agile leadership capability.
Agile is not a set of tools — it is a fundamentally different way of thinking about project delivery. The most capable agile project managers understand the distinction between 'doing agile' and 'being agile', can apply value-driven delivery across different lifecycle and complexity contexts, lead through servant leadership rather than command and control, and build the organisational conditions that allow agile teams to perform at their best.
This master class addresses every dimension of that capability from VUCA context, Agile manifesto values, and complexity-driven lifecycle choice, through Scrum framework application, customer centricity, design thinking, contracting in agile, continuous improvement, value stream management, and scaling agile across organisations. Current trends including AI in agile projects are integrated within the forward-looking Day 5 content.
The Agile Project Manager Master Class Course is built for project management professionals who want to move beyond agile awareness to genuine agile mastery — developing the mindset, leadership capability, and strategic agility that consistently successful agile project delivery requires.
The Agile Project Manager Master Class Course is designed to develop comprehensive agile project management mastery from agile principles and mindset through environment creation, planning, delivery, and organisational agility.
By the end of this course, participants will be able to:
The Agile Project Manager Master Class Course is designed for project managers, delivery leads, programme managers, and transformation professionals who want to develop comprehensive agile project management mastery across mindset, frameworks, delivery, leadership, and organisational agility.
This course is suitable for:
This Agile Project Manager Training Course uses a dynamic, interactive methodology designed to reinforce hands-on learning. Participants engage in deep discussions, live demonstrations, collaborative exercises, and guided activities that translate Agile concepts into actionable practices.
The course incorporates:
These methods help participants build knowledge, apply Agile tools immediately, and plan future steps for integrating Agile into their professional roles.
AZTech is an official PMI Authorized Training Partner (ATP). All applicable project management courses are pre-approved by the Project Management Institute, allowing participants to earn the necessary PDUs and Contact Hours for certification and recertification.
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Common questions about our training courses
Doing agile' means applying agile tools and ceremonies — standups, sprints, backlogs — without adopting the underlying values that make them effective. 'Being agile' means genuinely embracing adaptability, transparency, customer focus, and continuous improvement as the way a team thinks and behaves — with tools and ceremonies following from those values rather than substituting for them. This distinction is the most important concept in the master class because delegates who leave understanding only 'doing agile' will consistently underperform relative to those who genuinely 'are agile' in how they lead and manage.
Day 3 covers the Scrum framework comprehensively within the broader context of value-driven delivery and customer centricity, examining the Scrum roles, events, and artefacts and how they are applied to agile planning and iterative delivery. Delegates develop the Scrum application capability to use the framework purposefully in delivery contexts rather than mechanically — understanding why each Scrum element exists and what it contributes to value delivery, rather than simply following the prescribed ceremonies without understanding their function.
Agile risk management and continuous improvement are addressed within Day 4, examining how risk is identified and managed within iterative delivery cycles, how problem detection and resolution operate within agile teams, and how retrospective practices create the systematic reflection and improvement that differentiates agile teams that continuously improve from those that simply repeat the same sprint cycle without learning. Delegates develop the improvement discipline that sustains agile performance over extended delivery programmes.
Servant leadership is addressed within Day 2 as the foundational leadership model for agile delivery, examining how servant leaders create the conditions for team performance rather than directing through authority, how they remove impediments, build psychological safety, and empower self-organisation. Delegates develop the servant leadership awareness and behavioural repertoire to lead agile teams in a way that amplifies their capability rather than constraining it a shift that requires genuine personal leadership development, not just conceptual understanding.
Design thinking is addressed within Day 4 as a complementary discipline that strengthens the customer centricity and problem framing that agile delivery relies on. Delegates examine how design thinking's empathise, define, ideate, prototype, and test approach integrates with agile sprint cycles to ensure that what is being built iteratively is genuinely solving the right problem for the right users — addressing one of the most common failure modes of technically well-executed agile delivery that misses its intended impact.
AI in agile projects is addressed within Day 5 as one of the current trends reshaping agile adoption and delivery practice — examining how AI tools support sprint planning, retrospective analysis, backlog prioritisation, velocity forecasting, and automated quality checking. Delegates develop the forward-looking awareness to evaluate AI applications within their agile delivery contexts critically and to identify where AI genuinely enhances agile performance versus where it creates adoption complexity without proportionate value.
