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Delivery Enablement & Quality Workshop
Engineering Managers, Tech Leads, QA Leads, DevOps EngineersSDLC playbook, CI/CD guardrail templates, quality rubrics, DORA metrics dashboard

Create predictable, repeatable delivery with sustainable engineering practices, CI/CD guardrails, and AI-augmented workflows.

...think they have a delivery problem. They don't. They have a consistency problem. I've sat in rooms with engineering managers who could show me their best deployment — and their worst — and the difference wasn't...

2 DaysPractical
Quality GatesAutomation
Effective Prompt Engineering
Beginner to Advanced6-8 hoursFull prompt design framework + personal prompt library

Every major prompt engineering technique — from basic clarity to advanced agentic reasoning. Not a list of tips. A mental model you can apply to any task, any tool, any context.

...first Least-to-Most — build up from simple Advanced techniques — for production systems, agentic workflows, maximum quality Prompt Chaining — one task per prompt Generated Knowledge — prime before you ask Self-Critique...

2 DaysIntensive
19 TechniquesComplete Coverage
Quality Attributes / -ilities
SA, EA — Intermediate5-6 hoursQuality attribute reference card + -ility prioritisation matrix

The non-functional characteristics that determine whether a system is truly fit for purpose — scalability, reliability, availability, performance, security, maintainability, and more.

Quick Navigation Start here — What quality attributes are The core -ilities How -ilities conflict Tactics for each How to prioritise How...

1 DayIntensive
SA · EARoles
Platform Engineering & DevEx Strategy Workshop
VP Engineering, Platform Leads, Engineering ManagersPlatform engineering strategy, golden path specifications, DevEx baseline

Design internal developer platforms and golden paths that accelerate delivery, improve developer experience, and create standardised pathways.

...it, you don't have a platform. You have a museum. That one idea changes everything. It turns platform engineering from a build exercise into a product discipline. Keep it in mind. Purpose The goal of this...

2 DaysStrategic Design
DevEx ImprovementTeam Velocity
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.

Quick Navigation The data problem AI exposes Data quality — the six dimensions Data governance — who owns and protects it Data architecture for AI Feature...

1.5 DaysIntensive
Data ReadinessAssessment
Solving Technical Debt Through Feature Development: Turning Product Delivery into Architecture Improvement
Solving Technical Debt Through Feature Development: Turning Product Delivery into Architecture Improvement

A practical framework explaining how organizations can systematically reduce technical debt while delivering new features, instead of running disruptive modernization programs.

Executive Summary Who this is for: CTOs, Engineering Leaders, Enterprise Architects, Product Leaders Problem it solves: Technical debt accumulates...

Data & AI Direction
Intermediate to Advanced (SA, EA, TS)5-6 hoursData and AI direction framework + AI readiness assessment + governance overlay

How data strategy and AI direction connect to architecture — covering data quality, governance, data architecture for AI, AI enablement, responsible AI, data products, data mesh, and building a data and AI roadmap.

Quick Navigation Start here — Why data strategy is an architecture concern Data quality and governance Data architecture for AI AI enablement Responsible AI by design Data products...

1.5 DaysIntensive
CurrentSA · EA · TS
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.

...outputs without any errors being thrown. Layer What to monitor Alert when Data Input distribution, quality, volume Distribution shifts significantly Model Accuracy, precision, recall, confidence Metrics...

2 DaysIntensive
ArchitectureBlueprint
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.

...Contents Start Learning What is Technology Leadership? Technology Leadership = The practice of guiding engineering organizations through AI transformation, distributed team management, and organizational...

2 DaysWorkshop
Coming Soon
Monitoring Added After Deployment Is Not Observability. It Is Archaeology.
Monitoring Added After Deployment Is Not Observability. It Is Archaeology.

Observability is not a monitoring add-on. It is an architectural constraint. Systems built without observability baked in cannot be understood, cannot be governed, and cannot be improved. The OSAF model tells you exactly where your architecture is blind.

Executive Summary Who this is for: CTOs, Platform Engineers, Enterprise Architects, Engineering Leads, System Design Owners Problem it solves: Organizations bolt observability onto systems...