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Advanced (EA, TS)5-6 hoursInvestment prioritisation model + business case guide (including TCO and unit economics) + sequencing criteria

How to decide which technology initiatives get funded, in what order, and why — connecting architecture to financial decisions and business outcomes.

...guesswork. With it, sequencing is defensible. What architecture adds to prioritisation: Dependency knowledge — what must exist before what. Foundation identification — which investments are platforms...

1 DayIntensive

StrategicEA · TS

Architecture Investment Prioritisation Business Case Strategy FinOps View Details

Capability Mapping & Business Outcomes

All levels — SA, EA, TS4-5 hoursBusiness capability map template + capability-to-outcome linkage model

How to build business capability maps, connect them to technology, and link capabilities to strategic outcomes — the bridge between business strategy and technical architecture.

...Navigation Start here — What capabilities are Building a capability map Connecting capabilities to systems Connecting capabilities to outcomes Capability heat maps Using capability maps in decisions Common...

1.5 daysIntensive

PracticalMap-building exercise

Architecture Capability Mapping Business Strategy Enterprise Context Business Outcomes View Details

Data & AI Direction

Intermediate to Advanced (SA, EA, TS)5-6 hoursData and AI direction framework + AI readiness assessment + governance overlay

How data strategy and AI direction connect to architecture — covering data quality, governance, data architecture for AI, AI enablement, responsible AI, data products, data mesh, and building a data and AI roadmap.

...direction is the discipline of treating data as a governed asset and designing the architecture that AI systems consume — not building AI on top of unmanaged, ungoverned, low-quality data. Data strategy covers...

1.5 DaysIntensive

CurrentSA · EA · TS

Architecture Data Strategy AI Data Governance Data Mesh Data Products View Details

Data and AI

Intermediate4-6 hoursData readiness assessment + governance framework + pipeline blueprint

The data foundations that make AI work. Data quality, governance, architecture, pipelines, and the GenAI shift from training to retrieval. Most AI failures are data failures — learn the patterns and prevent them.

...millions in AI models and platforms while neglecting the data that feeds them. They build sophisticated systems on top of messy, siloed, ungoverned data — and wonder why the results are unreliable. The hard...

1.5 DaysIntensive

Data ReadinessAssessment

Data Quality Data Governance Data Architecture Feature Engineering Data Pipelines RAG Vector Databases GenAI Data AI Fluency View Details

AI Tools, Landscape & Platforms

Beginner to Intermediate3-4 hoursPersonal AI tools map + selection framework + team stack recommendation

The AI tools landscape — what the major platforms are, how they actually differ, and how to choose the right one for the right job. Stop chasing every new launch. Start making deliberate choices.

...they're using diffusion models — a completely different architecture. For voice, neural text-to-speech systems. For code completion integrated into your editor, the tool has access to your entire codebase...

Half DayIntensive

Beginner FriendlyNo technical background required

AI Tools AI Platforms Generative AI AI Landscape LLMs 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.

...thousands of examples. Not millions. Trillions of words — essentially a large chunk of written human knowledge: books, articles, websites, academic papers, code, conversations. Dial 3 — More computing power....

Half DayIntensive

Beginner FriendlyNo math required

Generative AI LLMs AI Fundamentals Machine Learning View Details

Requirements, Constraints, Trade-offs & Compromise

All levels — SA, EA, TS5-6 hoursTrade-off framework + constraint register template + requirements classification guide

The art of making the best possible architectural decision given what is required, what is constrained, and what must be sacrificed.

...Common constraints: Budget — how much money is available. Timeline — when it must be delivered. Existing systems — what already exists and can't be replaced. Regulations — what the law requires. Team skills...

1 DayIntensive

PracticeReal decisions

Architecture Foundations Requirements Trade Offs Decision Making View Details

How LLMs Work

Beginner to Intermediate4-6 hoursWorking mental model + reference materials

What actually happens inside a Large Language Model — from the moment you type a prompt to the moment it responds. No math. No fluff. Just a clear picture you can hold in your head.

...relationships. Middle layers build up to phrase-level meaning. Deep layers handle complex reasoning, world knowledge, and abstraction. GPT-2 had 12 layers. GPT-3 had 96. This is a large part of why scale matters...

2 DaysIntensive

Beginner FriendlyNo math required

LLMs Machine Learning Transformers Generative AI View Details

Architecture Decision & Technical Clarity Workshop

Enterprise & Solution Architects, Principal EngineersADR/ADL templates, decision backlog, prioritisation framework

Eliminate architectural ambiguity and technical decision bottlenecks through clear decision frameworks and accountability patterns.

...bottlenecks through clear decision frameworks and accountability patterns for both human and autonomous systems. I've seen teams spend three weeks debating a technology choice that was already decided six...

1 DayIntensive

Clear DecisionsActionable Framework

Architecture Decisions ADR Technical Clarity Decision Governance View Details

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