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AI Knowledge Systems — RAG, Search, Memory & Internal Knowledge

Intermediate4-5 hoursKnowledge system map + RAG decision framework + memory design checklist

Many useful AI systems are not smarter because the model is smarter. They are smarter because the system can retrieve, search, remember, and ground itself in the right knowledge at the right time.

Quick Navigation Before we start — why knowledge feels smarter than it is Why model knowledge is not enough Search, retrieval, memory, and grounding When...

1 DaySystems Thinking

Knowledge DesignPractical

RAG Search Memory Knowledge Systems Internal Knowledge View Details

How Architects Think

All levels — SA, EA, TS5-6 hoursSystems thinking toolkit + abstraction ladder + decision heuristics reference card

The cognitive toolkit of architecture — systems thinking, abstraction, balancing business and technical concerns, deciding under uncertainty, and trade-off thinking. Builds the mindset, not just the knowledge.

Quick Navigation Start here — How do architects think? Systems thinking Abstraction The dual lens Deciding under uncertainty Trade-off thinking How architects...

1 DayIntensive

MindsetNot just methods

Architecture Foundations Systems Thinking Decision Making View Details

The AI Evolution Stack: How AI Systems Mature from Simple Models to Governed Platforms

A structured guide explaining how AI systems evolve from simple model usage to governed platforms, and how to scale complexity without losing architectural control.

...for: Technology leaders, architects, founders scaling AI beyond experimentation Problem it solves: AI systems growing in complexity without proportional governance Key outcome: A clear evolution model ---...

Technology Strategy Ai Governance Enterprise Ai Execution Operating Model Ai Ai Strategy Read Insight

Automation & Agentic Systems

Intermediate to Advanced (SA, EA, TS)6-7 hoursAutomation opportunity map + agent architecture blueprint + MCP/A2A integration guide + Agentic Risk & Cost Framework

How AI-powered architectures that plan, act, and use tools autonomously are reshaping integration and workflow — covering agentic patterns, MCP and A2A protocols, orchestration frameworks, human-in-the-loop design, guardrails, observability, and economic risk management.

Quick Navigation Start here — The evolution of automation What agentic systems are Architecture patterns for agents MCP and A2A protocols Human-in-the-loop design Governance...

1.5 DaysIntensive

CurrentSA · EA · TS

Architecture AI Agents Agentic Systems MCP A2A Automation 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.

...that bridge development and operations. AI needs MLOps. The equivalent practices for machine learning systems, extended to address the unique challenges of ML: data versioning, model versioning, experiment...

2 DaysIntensive

ArchitectureBlueprint

AI Architecture MLOps Model Deployment AI Infrastructure Production AI View Details

Architecture Decisions & ADRs

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.

...together Cheat sheet Before we start — the one thing to hold onto Undocumented decisions become tribal knowledge — debated again six months later by people who weren't in the room. I've sat in meetings where...

Half-dayIntensive

PracticalReady to use

Architecture ADRs Decision Making Governance Documentation View Details

Operating Model Choices

Advanced (EA, TS)5-6 hoursOperating model design canvas + team topology guide + Conway's Law application worksheet + Communication Structure Heatmap

How the structure of technology teams shapes the structure of the systems they build — covering Conway's Law, centralised vs federated models, platform teams, product operating models, team topologies, and designing the organisation that produces the architecture you want.

...Law Putting it all together Cheat sheet Before we start — the one thing to hold onto The architecture of the systems you build will mirror the communication structure of the teams that build them — whether you...

1 DayIntensive

StrategicEA · TS

Architecture Operating Model Conway's Law Team Topologies Platform Teams Strategy 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.

...patterns Protocols — MCP 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...

2 DaysIntensive

Agent DesignWorkshop

AI Agents Agentic AI MCP A2A Multi Agent Systems AI Orchestration View Details

AI Architecture Clarity: Understanding LLM, RAG, Agents, and MCP Through the Brain Model

A clear executive guide explaining LLM, RAG, AI Agents, and MCP using the Brain model to prevent enterprise AI instability.

...Think Write Explain Summarize Reason It cannot: Access your private company data (by default) Press buttons Update systems Send emails It only thinks. Strategic insight: LLM capability alone introduces minimal operational...

Technology Strategy Execution Ai Governance Ai Ai Strategy Read Insight

Architectural Decision Records (ADR): The Missing Layer Between Strategy and Implementation

A practical guide explaining why Architectural Decision Records (ADR) are the missing link between enterprise architecture strategy and engineering implementation.

...models This answers: What should the technology landscape look like? Solution Architecture Designs systems that follow those principles: System boundaries Integration patterns Technology choices Data...

Enterprise Architecture Architecture Technology Strategy Execution Governance Engineering Read Insight

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