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All levels — SA, EA, TS3-4 hoursADR template + decision log + rationale guide

How to capture, document, and govern architecture decisions using ADRs — the lightweight mechanism that turns tribal knowledge into shared understanding.

...use the lightweight process. Over five, you need something more formal. Where ADRs live — In version control, close to the code ADRs stored in a wiki no one checks, or in a shared drive no one navigates,...

Half-dayIntensive

PracticalReady to use

Architecture ADRs Decision Making Governance Documentation View Details

AI Agents and Automation

Intermediate to Advanced6-8 hoursAgent use case map + architecture blueprint + governance framework

AI agents — what they are, how they work, the protocols shaping them (MCP, A2A), and the governance you need before you let one act on your behalf. The bridge between AI that talks and AI that does.

...and A2A Tool use — giving agents hands Memory — what agents remember Multi-agent systems Governance — controlling agents The agent architecture in one diagram Cheat sheet The shift from automation to agency...

2 DaysIntensive

Agent DesignWorkshop

AI Agents Agentic AI MCP A2A Multi Agent Systems AI Orchestration 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.

...stacks. Choice Options Trade-offs Cloud vs on-premise AWS, GCP, Azure vs own hardware Flexibility vs control, OpEx vs CapEx GPU type NVIDIA A100, H100, T4 Performance vs cost Managed vs self-managed SageMaker,...

2 DaysIntensive

ArchitectureBlueprint

AI Architecture MLOps Model Deployment AI Infrastructure Production AI 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.

...it Data without governance is a liability. Data with governance is an asset. The difference is who controls it, who can access it, and how it's protected. Component Key question AI implication Data ownership...

1.5 DaysIntensive

Data ReadinessAssessment

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

...Responsibility definition template: Component: [Name]. Owns: [What data and capabilities this component controls]. Provides: [What other components can request from it]. Consumes: [What this component needs...

2 DaysIntensive

ComprehensiveSA · EA

Architecture Solution Design Integration API Design Data Design View Details

Common Architecture Patterns

Intermediate (SA, EA)5-7 hoursPattern selection guide + pattern comparison matrix + anti-pattern catalogue

Proven, reusable solutions to recurring structural problems — each with known trade-offs that make it suited to some contexts and unsuitable for others.

...your domain is tangled with infrastructure. Hexagonal architecture untangles it. Serverless — Where control is traded for speed Managing servers, scaling, patching, and capacity planning is undifferentiated...

1.5 DaysIntensive

PracticalSA · EA

Architecture Solution Design Patterns Microservices Event Driven View Details

Current State & Target State Architecture

All levels — SA, EA, TS4-5 hoursAs-is / to-be architecture canvas + transition state design + maturity scale + AI readiness assessment

How to document what exists today, define what must exist tomorrow, and design the transition states that get you there — the discipline of architecture that connects present reality to future goals.

...only in batches? Real-time AI needs real-time data Governance Is there data classification, access control, lineage? AI governance depends on data governance Infrastructure Can the platform support AI...

1 dayIntensive

PracticalCanvas exercise

Architecture Enterprise Context Current State Target State Transformation Gap Analysis View Details

Standards & Reference Architectures

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.

...to operate — every system is unique Easier operations — common patterns Security gaps — inconsistent controls Better security — common baseline The spectrum of standards: Principles — guiding values. "API-first,"...

1 dayIntensive

PracticalStandards exercise

Architecture Enterprise Context Standards Reference Architecture Governance Consistency View Details

AI Use Case Discovery & Prioritization

Beginner to Intermediate4-5 hoursAI use case portfolio + prioritisation matrix + pilot shortlist

The hardest AI question is often not how to build, but what to build first. Learn how to find real use cases, assess fit, sequence experiments, and avoid expensive distractions.

...their behaviour even if the system works ideas that depend on data or context the organisation does not control ideas that create material governance risk without commensurate value ideas whose success criteria...

1 DayWorkshop

Portfolio DesignPractical

AI Use Cases Prioritization AI Strategy Portfolio Management Value Realization View Details

AI Workflow Design & Process Redesign

Beginner to Intermediate4-5 hoursAI workflow map + redesign canvas + exception-handling pattern

Most organisations do not need more prompts. They need better workflows. Learn how to redesign work around AI, human review, exceptions, and measurable outcomes.

...diagram AI workflow design is the discipline of deciding where automation helps, where humans stay in control, and how work keeps moving when reality gets messy. Cheat sheet Question Good default What should...

1 DayHands-on

Workflow DesignPractical

AI Workflows Process Redesign Automation Human in the Loop AI Fluency View Details

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