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AI Capabilities, Limitations & Use Cases

Beginner to Intermediate3-4 hoursTask-to-AI fit judgment + reference materials

What AI is genuinely good at, where it will let you down, and how to match the right task to the right tool. The judgment you need before you touch a prompt.

...easy to verify e.g. Summarising a client contract Yellow Facts matter, need active verification e.g. Making a hiring decision Red Can't afford to be wrong Which zone dominates your week? That tells you...

Half DayIntensive

Beginner FriendlyNo math required

Generative AI AI Capabilities AI Limitations Hallucination Use Cases AI Fluency View Details

What is Generative AI?

Beginner3-4 hoursClear mental model of Generative AI + reference materials

Generative AI — what it actually is, how it works, what it's good at, and where it goes wrong. No hype. No math. Just clarity.

...technology is powerful, why it occasionally lies to you with total confidence, and how to use it without making a fool of yourself. Keep it in mind. What is AI? — Let's start from scratch The word "AI" has...

Half DayIntensive

Beginner FriendlyNo math required

Generative AI LLMs AI Fundamentals Machine Learning View Details

Application & Technology Landscape

All levels — SA, EA, TS4-5 hoursApplication landscape register + technology heat map + dependency matrix

How to build, read, and use the full picture of what an organisation runs — every application, platform, integration, and technology — and how they depend on each other.

...the landscape Reading the landscape Technology heat maps Dependency analysis Using the landscape for decisions Putting it all together Cheat sheet Before we start — the one thing to hold onto Most organisations...

1 dayIntensive

PracticalLandscape exercise

Architecture Enterprise Context Application Landscape Technology Landscape Rationalisation Dependencies View Details

Technology Strategy & Architecture Strategy

Advanced (EA, TS)5-6 hoursTechnology strategy vs architecture strategy distinction map + strategy brief template

How to distinguish technology strategy from architecture strategy, connect both to business strategy, and define a coherent direction for the organisation's technology investments.

...investments). Architecture strategy produces patterns (how systems are structured) and governance (how decisions are made). Both feed implementation — what teams actually build. Technology strategy says what...

1.5 DaysIntensive

StrategicEA · TS

Architecture Technology Strategy Business Strategy Direction Enterprise Context View 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.

...your work better. You're in uncertain territory. You're working through a complex problem, a strategic decision, a piece of creative work. You don't know exactly what you want yet. The AI doesn't produce...

2 DaysIntensive

4 CompetenciesComplete Framework

AI Fluency Generative AI Productivity AI Workflows Responsible AI View Details

Delivery, Implementation & Architecture Runway

Intermediate (SA, EA, TS)4-5 hoursArchitecture runway template + delivery dependency map + agile architecture checklist

How architecture supports delivery instead of blocking it — covering architecture runway, phased implementation, dependency management, keeping teams unblocked, and recovering when architecture goes wrong during delivery.

...architecture and delivery falls into one of four modes: The target: architecture enables delivery. Decisions are made just in time — not too early (wasteful) and not too late (blocking). The runway provides...

1 DayIntensive

PracticalSA · EA · TS

Architecture Solution Design Delivery Agile Runway View Details

AI Implementation & Technical Architecture

Intermediate to Advanced5-7 hoursAI architecture blueprint + MLOps framework + deployment playbook

Turning AI prototypes into reliable, scalable production systems. MLOps, model serving, RAG architecture, monitoring, and the engineering discipline that most AI projects are missing.

Quick Navigation The implementation gap MLOps — the operational backbone Model serving — making models accessible RAG architecture — grounding AI in your data Infrastructure design Monitoring...

2 DaysIntensive

ArchitectureBlueprint

AI Architecture MLOps Model Deployment AI Infrastructure Production AI View Details

Human Skills in an AI World

All levels4-5 hoursPersonal skills assessment + development plan + human-AI collaboration playbook

The skills that become more valuable, not less, as AI handles routine work. Critical thinking, creativity, emotional intelligence, ethical judgment, adaptability, and the art of working with AI as a collaborator.

...— framing problems AI can't see Emotional intelligence — connecting with people Ethical judgment — making decisions AI shouldn't Adaptability — learning in an AI world Human-AI collaboration The human...

1 DayIntensive

5 SkillsFramework

Human Skills Critical Thinking Creativity Emotional Intelligence AI Collaboration View Details

Why Architecture Exists

All levels — SA, EA, TS3-4 hoursArchitecture purpose framework — complexity · alignment · risk · change · shared understanding

Why architecture exists — managing complexity, aligning technology with business, reducing risk, enabling change, and creating shared understanding across teams.

...understanding lives in people's heads Tool sprawl — too many tools doing similar things Every architectural decision should be evaluated against one question: "Does this reduce or increase accidental complexity?"...

Half-dayIntensive

PurposeWhy it matters

Architecture Foundations Complexity Business Alignment View Details

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.

...must not cross Transparency — can you defend it? Accountability — who owns the output? Governance — making responsibility consistent at scale The responsibility framework in one diagram Cheat sheet Why...

1 DayIntensive

Beginner FriendlyNo legal background required

Responsible AI AI Ethics AI Risk AI Governance Bias Data Privacy AI Fluency View Details

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