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Responsible AI — Ethics, Risk & Governance
Beginner to Intermediate4-5 hoursAI risk map + personal responsibility checklist + governance starter framework

Using AI responsibly — covering ethics, bias, hallucination risk, data privacy, accountability, and organisational governance. The judgment to use AI fairly, safely, and in a way you can defend.

...widely require AI use disclosure. Journalism and publishing organisations are developing editorial standards for it. Regulatory frameworks are beginning to mandate it for specific contexts. Even where...

1 DayIntensive
Beginner FriendlyNo legal background required
Responsible AIAI EthicsAI RiskAI GovernanceBiasData PrivacyAI FluencyView 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.

...it used? Does it help teams decide? ADRs Architecture principles System context diagrams Technology standards Roadmaps If your "is it used?" column has more blanks than ticks, you're producing architecture...

Half-dayIntensive
FoundationFor all roles
ArchitectureFoundationsDecision MakingView Details
AI Policy, Security & Organisational Controls
Beginner to Intermediate4-5 hoursAI policy checklist + security controls map + incident response starter template

Building and enforcing AI policy — the practical mechanisms that turn ethical principles into enforceable organisational rules. Data security, access controls, audit trails, and incident response.

...for AI outputs in high-risk categories. Maintain logs — high-risk AI use must be logged to EU AI Act standards. Register high-risk AI systems in the EU database. Fundamental rights assessment for public...

1 DayIntensive
Beginner FriendlyNo legal background required
AI PolicyAI SecurityOrganisational ControlsAI GovernanceData SecurityComplianceAI FluencyView Details
How to Think With AI
Beginner to Advanced5-7 hoursPersonal AI Fluency framework + working habits

AI Fluency — the four competencies that separate people who use AI from people who think with it. Delegation, Description, Discernment, Diligence. Master these and everything else follows.

...a stack of norms and laws you don't set yourself. Your personal values sit inside your professional standards. Your professional standards sit inside your organisation's policies. Your organisation's policies...

2 DaysIntensive
4 CompetenciesComplete Framework
AI FluencyGenerative AIProductivityAI WorkflowsResponsible AIView Details
Application, Integration, API, Interface, Data & Process Design
Intermediate to Advanced (SA, EA)6-8 hoursIntegration design playbook + API design standards + data movement pattern guide

How the components of a solution are structured internally, how they communicate with each other, and how they connect to the data and processes they depend on.

...integration pattern selection — choose sync, async, event, or batch for your real scenarios, API design standards — create versioned, documented contracts, data ownership mapping — assign one owner per data...

2 DaysIntensive
ComprehensiveSA · EA
ArchitectureSolution DesignIntegrationAPI DesignData DesignView Details
Effective Prompt Engineering
Beginner to Advanced6-8 hoursFull prompt design framework + personal prompt library

Every major prompt engineering technique — from basic clarity to advanced agentic reasoning. Not a list of tips. A mental model you can apply to any task, any tool, any context.

...ReAct Reason → act → observe → reason again Agentic tool-use loop Emotional Prompting Stakes raise standards Affective / stakes framing How to know if this landed You'll know this has landed when someone...

2 DaysIntensive
19 TechniquesComplete Coverage
Prompt EngineeringLLMsGenerative AIProductivityAI WorkflowsView Details
AI Operating Model Workshop
CTO, CIO, VP Engineering, Enterprise Architects, AI LeadersAI ownership model, governance framework, capability map, 90-day activation plan

Stop running AI experiments in isolation. Build the ownership structure, governance model, and decision rights that turn scattered AI pilots into an organisation-wide capability.

...That indecision is expensive. Every week without a model is a week of duplicated effort, inconsistent standards, and AI initiatives that deliver locally and create risk globally. You'll leave with an ownership...

1 DayIntensive
Clear OwnershipAI at Scale
AI StrategyAI GovernanceOperating ModelOrganisational DesignView Details
Platform Engineering & DevEx Strategy Workshop
VP Engineering, Platform Leads, Engineering ManagersPlatform engineering strategy, golden path specifications, DevEx baseline

Design internal developer platforms and golden paths that accelerate delivery, improve developer experience, and create standardised pathways.

...integration Platform vs product strategy alignment exercises Self-service API and UX specifications Technical standards and guardrail design These aren't architecture diagrams. They're product specifications your...

2 DaysStrategic Design
DevEx ImprovementTeam Velocity
Platform EngineeringDeveloper ExperienceInternal Developer PlatformGolden PathsView Details
AI & Agentic Systems Strategy Workshop
CIO, CTO, Chief AI Officer, VP EngineeringAI operating model, governance policy, compliance roadmap, 90-day action plan

Develop a clear, governed AI and agentic systems strategy that delivers business value while managing risk, cost, and compliance.

...governance Cost-optimised AI operations (token economics managed) Meets compliance requirements (EU AI Act, industry standards) Measurable business value from AI initiatives Workshop Structure Day 1: Morning (3 hours):...

2 DaysStrategic
Operating ModelGovernance Framework
AI StrategyAgentic SystemsAI GovernanceResponsible AIView Details
Delivery Enablement & Quality Workshop
Engineering Managers, Tech Leads, QA Leads, DevOps EngineersSDLC playbook, CI/CD guardrail templates, quality rubrics, DORA metrics dashboard

Create predictable, repeatable delivery with sustainable engineering practices, CI/CD guardrails, and AI-augmented workflows.

...pipelines nobody trusts. The gap at the start is usually not about tooling — it's about not having shared standards that make delivery predictable. What changes after this workshop: Teams stop treating delivery...

2 DaysPractical
Quality GatesAutomation
Delivery ExcellenceCI/CDQuality EngineeringDevSecOpsDORAView Details
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