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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.

...detection Edge Model runs on device Offline, low-latency, privacy The serving decisions matter: latency requirements determine infrastructure choice. Throughput requirements determine scaling strategy. Versioning...

2 DaysIntensive

ArchitectureBlueprint

AI Architecture MLOps Model Deployment AI Infrastructure Production AI View Details

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.

...includes: privacy and data handling access controls and logging configuration flexibility integration requirements cost behaviour at scale support for testing, monitoring, and governance The product demo...

Half DayDecision Focused

Vendor SelectionPractical

AI Procurement Vendor Evaluation Tool Selection Platform Strategy AI Governance 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.

...Traditional data architectures were built for reporting and analytics. AI workloads have different requirements — larger volumes, real-time processing, and different access patterns. Component Purpose...

1.5 DaysIntensive

Data ReadinessAssessment

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

...compelling Do you have latency-sensitive use cases? If yes: on-device is compelling Do you have offline requirements? If yes: on-device is essential What devices do your users have? Determines what's feasible...

Half DayIntensive

Horizon ScanDeliverable

Future of AI AI Trends Multimodal AI AI Regulation Emerging Technology View Details

Review Forums & Decision Authority

Intermediate (SA, EA, TS)3-4 hoursArchitecture board design guide + review charter template + decision rights matrix

How to design, run, and improve architecture review forums — the structured spaces where decisions are evaluated, challenged, approved, and communicated.

...effective review has three phases — preparation, execution, and follow-up. Each phase has specific requirements. Before the review: ADR is complete — context, options, recommendation, consequences. Reviewers...

Half-dayIntensive

PracticalSA · EA · TS

Architecture Governance Review Decision Making Authority View Details

What Architecture Is

All levels — SA, EA, TS3-4 hoursArchitecture definition canvas + what it is / what it isn't reference card

What software and enterprise architecture actually is — its structure, relationships, and decisions — and what it is not. No diagrams. No jargon. Just clarity.

...architecture: it has a half-life. Architecture that was right in year one may be wrong in year three. Requirements change. Technology moves. Teams grow. The structure that made sense when you had three microservices...

Half-dayIntensive

FoundationFor all roles

Architecture Foundations Decision Making View Details

AI Operating Model & Team Design

Intermediate4-5 hoursAI operating model blueprint + team role map + governance forum design

AI success is not just about tools. It depends on how teams are organised, who owns what, how standards are set, and how delivery, governance, and platform capabilities work together.

...specific user or business problems. Governance functions define policy, risk rules, oversight, and review requirements. Leadership sets direction, priorities, and investment boundaries. The important move is...

1 DayStrategy

Operating ModelDesign

AI Operating Model Team Design AI Governance Transformation Platform Teams 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.

...medical devices) are permitted but subject to strict obligations: conformity assessments, transparency requirements, human oversight mandates, and registration. Limited-risk systems (like chatbots) must disclose...

1 DayIntensive

Beginner FriendlyNo legal background required

Responsible AI AI Ethics AI Risk AI Governance Bias Data Privacy AI Fluency 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.

...too little information means deciding badly. Here's the reality: You will never have all the facts Requirements will change after you decide Technology will evolve after you choose The team's capabilities...

1 DayIntensive

MindsetNot just methods

Architecture Foundations Systems Thinking Decision Making View Details

AI Policy, Security & Organisational Controls

Beginner to Intermediate4-5 hoursAI policy checklist + security controls map + incident response starter template

Building and enforcing AI policy — the practical mechanisms that turn ethical principles into enforceable organisational rules. Data security, access controls, audit trails, and incident response.

...high-risk outputs, unusual patterns — for security monitoring and governance escalation. Log retention requirements matter. Most regulatory frameworks require audit logs to be retained for a minimum period....

1 DayIntensive

Beginner FriendlyNo legal background required

AI Policy AI Security Organisational Controls AI Governance Data Security Compliance AI Fluency View Details

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