Build the Capability to Deliver Complex Projects
Complex projects demand more than standard project management. INMAA's programs build the capability to govern and deliver under complexity — for individuals who want to lead with greater confidence, and for organisations that need their people to perform when conditions shift. Our training is grounded in research and current practice, spanning recognised certifications and tailored in-house programs.
INMAA delivers training and advisory into the defence sector and other high-complexity environments — programs grounded in the governance demands of large-scale, high-stakes delivery.
Our coaching services are available to support senior leaders in addressing the emerging challenges of complex projects
Learning designed around people, grounded in complexity and built for action.
Our Training Principles
Build curiosity, confidence and the courage to act.
Inspire & Empower
Tailor learning to experience, context and real needs.
Customer & Learner Centred
Combine systems thinking, evidence and workplace application.
Complexity-Informed & Practice-Led
Protect standards and continuously improve learning impact.
Quality Without Compromise
Our Certification Programs
Alongside our certification preparation, INMAA offers applied short programs for practitioners who need specific capability without a full qualification pathway.
Project Management Fundamentals
A practical introduction to the principles, processes, and tools of project management. Builds a shared language for teams new to formal delivery.
Governing Complex Projects
An applied course in governance design for complex environments — board accountability, assurance mechanisms, and making governance active rather than static.
Complexity Thinking for Project Leaders
Introduces systems thinking and complexity science as practical lenses for leadership. Helps leaders read complexity signals and respond with greater confidence.
Governing AI Transformation
A two-day, face-to-face program that equips senior leaders with the governance frameworks, evaluation criteria, and practical judgement needed to adopt agentic AI responsibly