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Intermediate (SA, EA)4-5 hoursReference architecture library starter + standards register + architecture principles catalogue

How to create, govern, and operationalise architecture standards and reference architectures — the agreed patterns and structures that create consistency, reduce duplication, and accelerate delivery at scale.

...(APIs, BI connectors, ML feature store), Governance (catalogue, lineage, access control), Quality (validation, monitoring, alerting). Additional reference architectures worth considering: Microservices...

1 dayIntensive

PracticalStandards exercise

Architecture Enterprise Context Standards Reference Architecture Governance Consistency View Details

Decision Rights & Delegation

Engineering Managers, Tech Leads, Directors, CTO, VP Engineering3-4 hoursDecision rights map by altitude and domain, with every gap, overlap and delay node named

Decisions made at the wrong altitude are the commonest source of both bottleneck and drift — which makes delegation a design problem, not a trust problem.

...already allowed? That single change removes a large amount of waiting. From batch review to continuous validation. The decision is validated when it is made, not when the board next meets. From funding gates...

1 DayIntensive

AltitudeWho decides what

Decision Rights Delegation Governance Decision Velocity View Details

What Architecture Is

All levels — SA, EA, TS3-4 hoursArchitecture definition canvas + what it is / what it isn't reference card

What software and enterprise architecture actually is — its structure, relationships, and decisions — and what it is not. No diagrams. No jargon. Just clarity.

...Architecture decay Architectural fitness function Automated check that architecture holds Constraint validation Architecture principle Guiding rule for future decisions Decision heuristic Architecture...

Half-dayIntensive

FoundationFor all roles

Architecture Foundations Decision Making View Details

AI Risk Patterns & Failure Modes

Beginner to Intermediate4-5 hoursAI risk pattern map + mitigation checklist + failure review template

Most AI failures are predictable. Learn the recurring patterns behind hallucinations, automation bias, data leakage, brittle workflows, hidden costs, and false confidence before they become expensive.

...first? Over-trust, hidden uncertainty, weak review, unclear ownership What helps most? Grounding, validation, exception routing, logging What is the mental model? Become unsurprised by repeatable failure...

1 DayPractical

Risk AwarenessOperational

AI Risk Failure Modes Hallucinations Automation Bias AI Governance View Details

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