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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.

...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 A chatbot answers your...

2 DaysIntensive
Agent DesignWorkshop
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.

...inventing what it cannot support. In other words, a lot of apparent intelligence is really good information architecture. That is why knowledge systems deserve their own training topic. They are one of the least...

1 DaySystems Thinking
Knowledge DesignPractical
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.

...disciplined way to separate signal from excitement. That discipline matters because AI purchasing decisions often quietly become capability decisions. A platform choice influences workflow design, governance...

Half DayDecision Focused
Vendor SelectionPractical
AI Strategy & Business Transformation
Intermediate to Senior Leaders5-7 hoursAI strategy framework + operating model blueprint + 12-month roadmap

Building an AI strategy that drives real business transformation. Vision, operating models, value frameworks, maturity assessment, and portfolio management. Turn AI potential into measurable outcomes.

...today? The investment areas What will our customers experience differently? The value drivers What decisions will we make differently? The data and AI priorities The vision architecture has four layers:...

2 DaysIntensive
Strategy + RoadmapDeliverable
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.

...watched senior engineers use this to understand legal clauses, lawyers use it to understand technical architecture, and ten-year-olds use it to understand why the sky is blue. The same tool, the same capability,...

Half DayIntensive
Beginner FriendlyNo math required
Platform as a Product
CTOs, Heads of Platform Engineering, VP Engineering, Enterprise Architects, Platform Product Managers3-4 hoursA three-gate platform governance plan — validated backlog, a written scope boundary, and adoption targets per capability

An internal platform with no product owner builds what nobody asked for and skips what everybody needs — adoption, not completeness, is the only measure that counts.

...items. They are the same problem expressed twice. Governed as infrastructure, not as product. Platform decisions pass through cost, security, compliance and architecture review. Those gates ensure the platform...

1 DayIntensive
AdoptionNot feature count
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.

...them drift apart. Decision rights and ownership Teams get into trouble when they share tasks but not decisions. An AI operating model should clarify: who can approve tools who can launch pilots who owns...

1 DayStrategy
Operating ModelDesign
Technology Leadership & Organizational Excellence
Intermediate to AdvancedLeadership roadmap and team enablement plan

Learn to lead high-performance engineering organizations with clear decision rights, distributed leadership, and AI-augmented team management for the future of work.

...process compliance Focus on outcome optimization Skills are static Continuous upskilling is mandatory Decisions are human-only Decisions are human-AI collaborative Team structure is fixed Team composition...

2 DaysWorkshop
FoundationFor all leadership roles
AI Adoption, Change & Project Delivery
Intermediate5-6 hoursAI adoption playbook + stakeholder engagement plan + delivery framework

Moving AI from exciting pilot to boring-but-valuable production. The people, the process, and the delivery discipline that turns AI potential into daily practice.

...training, real feedback channels IT / Engineering Integration and maintenance Technical reviews, architecture involvement from day one Legal / Compliance Risk and regulatory exposure Early risk assessment,...

2 DaysIntensive
Adoption PlaybookDeliverable
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.

...models are trained to predict text. For images, they're using diffusion models — a completely different architecture. For voice, neural text-to-speech systems. For code completion integrated into your editor,...

Half DayIntensive
Beginner FriendlyNo technical background required
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