CREA-SM · Active
Scrum Master
For practitioners who facilitate Scrum events, coach teams toward high performance, remove impediments, and drive Agile adoption across organisations.
1Foundations of Agile & Scrum
Agile Manifesto (4 values, 12 principles), Waterfall vs Agile, framework hierarchy. Scrum — Empiricism, 3 Pillars, 5 Values, 3 Accountabilities, 5 Events, 3 Artifacts + commitments, Sprint cycle. Scrum Values in practice, Shu-Ha-Ri, Cynefin framework.
2The Scrum Master Role
Servant leadership (Greenleaf's 10 characteristics), GROW/OSCAR/T-GROW coaching models, 3 listening levels. Psychological safety (4 stages), Lencioni's 5 Dysfunctions. Full facilitation — Sprint Planning, Daily Scrum (4 formats), Sprint Review, Retrospective (6 techniques). Impediment management, 5-level escalation ladder.
3Agile Tools
Jira — 7 issue types, board setup, backlog hygiene, 4 reports, JQL (15 queries), SM Dashboard. Azure DevOps — 5 Boards views, WIP limits, Capacity, WIQL. Rally — Portfolio Kanban, ROAM framework, PI Planning artefacts. Supporting tools — Confluence, Miro, Trello, Monday.com, FigJam.
4Scaling Agile
SAFe — 4 levels, 4 configurations, ART anatomy (6 roles), PI cadence (5 iterations), full 2-day PI Planning agenda, 10 Lean-Agile Principles. LeSS — 2 configs, 10 principles. Nexus — NIT, 4 events. Scrum@Scale — 2 cycles, fractal principle. 4-way comparison table (14 dimensions).
5Agile Metrics & Reporting
Velocity, Burndown/Burnup, Cycle Time, Lead Time, Little's Law, CFD, Throughput, WIP. Team Happiness (4 methods, Spotify Health Check). 4-quadrant SM dashboard. Stakeholder reporting — OKRs, KPI vs Vanity Metrics, Executive dashboards, RAG definitions, Steering packs.
6Exam Preparation
Topic weightage across 6 areas. Most-tested concepts. 6 exam traps. 1-week and 2-week study plans. Exam day tactics, reading list, pre-exam checklist. Practice Test 1 (30 questions), Practice Test 2 (30 questions), Full Mock Exam (80 questions, 90 min timed).
CREA-PO · Active
Product Owner
For practitioners who own the product vision, manage and prioritise the backlog, and align stakeholder expectations with delivery outcomes.
1Product Ownership Foundations
PO identity (4 characteristics), PO vs PM vs BA (8-dimension comparison), PO across frameworks. Output vs Outcome, 3 time horizons, 8 traits of exceptional POs. Product Goal, INVEST criteria, Given/When/Then user stories, WSJF, MoSCoW, Kano Model.
2Product Backlog Mastery
DEEPS characteristics, Epic→Feature→Story→Task hierarchy, SPIDR story splitting (all 5 methods), 3 splitting anti-patterns. Refinement Maturity Model (4 levels), Three Amigos, Definition of Ready, Story Map, Impact Mapping, Rolling Wave Planning (4 horizons), 5 backlog health metrics.
3Stakeholder Management
Power/Interest Matrix (4 quadrants), Stakeholder Register (7-field template), 4 root causes of priority conflict. 4 professional "no" techniques with full scripts. 5 difficult stakeholder archetypes with response strategies. Sprint Review facilitation, Communication cadence (5 touchpoints).
4Product Vision & Roadmapping
Vision vs Product Goal vs Roadmap, Product Vision Box, Geoffrey Moore Vision Statement, Lean UX Canvas. Roadmap spectrum (Output/Theme/Outcome), Now/Next/Later roadmap, OKR architecture (Company→Team→Sprint Goal chain). Velocity-based release forecasting, Roadmap by audience.
5Tools for Product Owners
Jira for POs — Epic/Feature management, Roadmap view, Backlog ordering, Release tracking. Azure DevOps — Feature Backlog, Portfolio Boards, Delivery Plans. Productboard, Aha!, Miro — story mapping, impact mapping. Tool selection guide for POs.
6Exam Preparation
Topic weightage, most-tested concepts, question type examples. 1-week and 2-week study plans. Practice Test 1 (35 questions), Practice Test 2 (35 questions), Full Mock Exam (70 questions, 75 min timed).
AI-Powered Certifications · Active
The Next Generation of
Agile Credentials
CREA-AI certifications combine enterprise Agile mastery with applied AI knowledge — for practitioners operating in AI-enabled delivery environments. Requires the corresponding core credential.
CREA-AI-SM · Active
AI Scrum Master
Scrum mastery combined with applied knowledge of AI delivery cycles, prompt governance, and managing AI-assisted teams.
Requires CREA-SM — core modules carry forward, no repetition
1–6All CREA-SM Core Curriculum
Complete CREA-SM content across all 6 modules — Agile foundations, Scrum Master role, Jira/ADO/Rally tooling, scaling frameworks, metrics, and exam preparation. Already completed as part of your CREA-SM credential.
7AI Delivery Foundations for SMs
Understanding AI product cycles and sprint adaptation for model training releases. Managing AI-assisted delivery teams, facilitating AI feature planning sessions, and applying prompt governance principles in team workflows.
8AI Tools for Scrum Masters
Leveraging AI-powered retrospective tools, automated impediment tracking, AI-assisted standup facilitation, and using LLMs for sprint reporting. Evaluating AI tooling for your team context.
9Release Risk Management for AI
Risk frameworks for AI component releases, model validation gates in sprint cycles, rollback planning for AI features, bias detection checkpoints, and stakeholder communication around AI release confidence.
10Exam Preparation — AI Context
Scenario-based practice questions integrating AI modules with core CREA-SM content. Topic weighting across all 10 modules. Full mock exam (80 questions, 90 minutes). Exam day tactics, common AI delivery scenario traps, and final preparation checklist.
CREA-AI-PO · Active
AI Product Owner
Product ownership for AI-enabled products — from prompt strategy and model evaluation to AI backlog prioritisation and risk governance.
Requires CREA-PO — core modules carry forward, no repetition
1–6All CREA-PO Core Curriculum
Complete CREA-PO content — product ownership foundations, backlog mastery, stakeholder management, vision and roadmapping, tools, and exam preparation. Already completed as part of your CREA-PO credential.
7AI Product Ownership
AI product vision and roadmapping, prioritising AI features alongside traditional backlog items, managing model evaluation and experimentation sprints, bias risk management, and stakeholder alignment on AI outputs.
8Prompt Strategy & Governance
Defining prompt standards as product requirements, governing LLM usage across delivery teams, building prompt libraries, evaluating AI vendor outputs, and setting acceptance criteria for AI-generated features.
9AI Backlog & Value Measurement
Measuring value delivery in AI products, defining AI-specific DoD, tracking model performance as a product metric, managing technical debt in AI systems, and communicating AI ROI to senior stakeholders.
10Exam Preparation — AI Context
Integrated practice questions covering all 10 modules. Scenario-based questions on AI product ownership, prompt governance, and AI backlog management. Full mock exam (70 questions, 90 minutes) with topic weighting guide and final preparation checklist.
Explore All Credentials
More Certifications Available
Click any credential to register your interest and receive access details.
CREA-PM
Certified Role · Programme Manager
Multi-team programme delivery, governance, dependency management, and portfolio oversight.
★ Most Anticipated
CREA-AI
Certified Role · AI Delivery Lead
Leading AI product delivery teams in enterprise environments — strategy, execution, and governance.
CREA-BA
Certified Role · Business Analyst
Requirements, modelling, and stakeholder alignment in Agile delivery teams.
CREA-AC
Certified Role · Agile Coach
Organisational transformation and Agile team coaching at scale.