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AI Procurement, Vendor Evaluation & Tool Selection
Beginner to Intermediate3-4 hoursVendor evaluation scorecard + tool selection checklist + risk review template

Choosing AI tools is not a beauty contest. Learn how to evaluate vendors, compare capabilities, assess risk, avoid lock-in, and buy systems that your organisation can actually govern and adopt.

Quick Navigation Before we start — why buying AI is unusually noisy Why tool selection goes wrong What to evaluate beyond the demo The major decision criteria Build, buy, or...

Half DayDecision Focused
Vendor SelectionPractical
AI ProcurementVendor EvaluationTool SelectionPlatform StrategyAI GovernanceView 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.

...interface most people use Layer 3 — AI-native apps: purpose-built for one job Layer 4 — AI-embedded tools: what you already pay for Layer 5 — Platforms and APIs: building your own How to choose — four...

Half DayIntensive
Beginner FriendlyNo technical background required
AI ToolsAI PlatformsGenerative AIAI LandscapeLLMsAI FluencyView Details
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.

...strengths Where AI fails — the 5 limitations Hallucination — the one that causes real harm Matching task to tool — the three zones What this looks like in your actual job The rule that ties it all together The...

Half DayIntensive
Beginner FriendlyNo math required
Generative AIAI CapabilitiesAI LimitationsHallucinationUse CasesAI FluencyView Details
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.

...agents MCP and A2A protocols Human-in-the-loop design Governance and risk Where to start Orchestration tools and frameworks Guardrails and evaluation Observability Economic guardrails Putting it all together Cheat...

1.5 DaysIntensive
CurrentSA · EA · TS
ArchitectureAI AgentsAgentic SystemsMCPA2AAutomationOrchestrationView Details
From Creation to Autonomy: Understanding Generative AI, AI Agents, and Agentic AI Through a Workplace Analogy
From Creation to Autonomy: Understanding Generative AI, AI Agents, and Agentic AI Through a Workplace Analogy

A clear executive guide explaining Generative AI, AI Agents, and Agentic AI using a corporate office analogy to prevent autonomy risks in enterprise AI.

...incorrectly Advice is safe. Action has consequences. Risk Level: Moderate to High Governance Need: Tool boundaries, approval checkpoints, logging An AI Agent operates within defined permissions. It still...

Technology StrategyAi GovernanceEnterprise AiExecutionAiAi StrategyRead Insight
Technology, Infrastructure, Cloud & Security Design
Intermediate to Advanced (SA, EA)6-8 hoursInfrastructure decision framework + cloud pattern reference + security controls map

Where abstract architecture meets physical reality — choosing the platforms, compute, networking, and security controls that make the solution work at scale.

Quick Navigation Start here — Technology selection Cloud fundamentals Infrastructure design Cloud patterns Security design Identity and access...

2 DaysIntensive
PracticalSA · EA
ArchitectureSolution DesignCloudInfrastructureSecurityFinOpsView 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.

...automation The agent loop — how they actually work Agentic reasoning patterns Protocols — MCP and A2A Tool use — giving agents hands Memory — what agents remember Multi-agent systems Governance — controlling...

2 DaysIntensive
Agent DesignWorkshop
AI AgentsAgentic AIMCPA2AMulti Agent SystemsAI OrchestrationView 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.

...team owns, deploys, and scales independently. Technology diversity — each service can use the best tool for its job. Fault isolation — a failure in one service doesn't bring down the whole system. Independent...

1.5 DaysIntensive
PracticalSA · EA
ArchitectureSolution DesignPatternsMicroservicesEvent DrivenView 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.

...the domain itself. This is what the team should focus on. Extraneous — unnecessary complexity — bad tooling, unclear processes. Remove this — it wastes capacity. Germane — learning and improvement. Protect...

1 DayIntensive
StrategicEA · TS
ArchitectureOperating ModelConway's LawTeam TopologiesPlatform TeamsStrategyView Details
Future of AI
Intermediate to Senior Leaders3-4 hoursAI horizon scan + strategic implications analysis + preparation roadmap

What's coming in AI — multimodal models, on-device AI, open-source momentum, protocols, regulation, and the shift to AI-native organisations. See around the corner without falling for hype.

...discussed in the Responsible AI training. On-device inference is critical for agents — agents need local tool access. Smaller models trade some capability for accessibility — the right trade-off depends on...

Half DayIntensive
Horizon ScanDeliverable
Future of AIAI TrendsMultimodal AIAI RegulationEmerging TechnologyView Details
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