Train the Team, Own the Platform

Hands-on cloud, DevOps, and AI-engineering training built on your stack, your conventions, and your compliance reality. Turn platform investment into durable team capability.

Where capability outpaces the technology

From tribal knowledge
to durable team capability.

The cloud-native stack keeps deepening. AI tooling is rewriting how engineers work. Regulators expect documented competence. And the engineers holding the most context are the most likely to be hired away — while every new joiner takes weeks to ship safely.

We design training around your real stack — your AWS accounts, your Terraform modules, your CI/CD pipelines, your AI policies. Hands-on workshops on your own repositories, cohort reviews tied to real work. Competence that sticks, not certificates that decorate a CV.

And because compliance is no longer optional, every programme produces the artifacts auditors expect — dated training records, role-by-role evidence, and AI Act literacy documentation.

Day 1 Productive on your stack
AI-fluent Across the whole team
Audit-ready NIS2 · AI Act · CRA
Featured Success Story
“Deep expertise in AWS, Kubernetes, and Terraform accelerated our projects and enriched our team's skill set. The collaboration has had a lasting impact on our day-to-day operations and our uptime.”
Read the Digitail case study

Hands-on programmes, end-to-end

Curriculum drawn from real production patterns — practised on your repositories, your accounts, and your pipelines. No generic vendor decks.

AWS Foundations & Architecture

Account structure, IAM, networking, landing zones, and AWS Well-Architected reviews—taught against your real AWS Organizations, not a sandbox.

Infrastructure as Code Mastery

Terraform, OpenTofu, module design, state strategy, and drift discipline—practised on your IaC repository, with peer-review patterns your team can adopt the next day.

Kubernetes & Container Operations

EKS, Helm, operator patterns, runtime security, and day-2 operations. Practical container engineering, not vendor certification cramming.

GitOps, CI/CD & Secure Delivery

ArgoCD, Flux, signed artifacts, SBOM workflows, and policy-as-code—rehearsed inside your pipeline so muscle memory lands where it matters.

AI-Assisted Engineering & MLOps

Copilot, Cursor, Bedrock Agents, and AWS DevOps & Security Agents—with prompt patterns, review discipline, MLOps foundations, and AI Act-aligned governance baked in.

Platform Adoption & SRE Practice

SLOs, incident response, observability, on-call discipline, and chaos drills—run against your real systems so the platform investment finally compounds.

Our Approach

From skills audit to embedded habit

No off-the-shelf decks. Curriculum, cohorts, and evidence — all built around your team and your real production work.

01
Week 1

Discover

Skill audit by role, stack inventory, and compliance gap map. We talk to engineers and leadership to find where capability is concentrated — and where it's missing.

Role-by-role skill matrix
Stack & tooling inventory
Compliance evidence gap map
02
Weeks 1–2

Design

Curriculum tailored to your stack, your AI policy, and your compliance posture. Cohorts mapped to roles, with measurable competence outcomes for each module.

Tailored curriculum
Cohort & sequencing plan
Competence outcomes per module
03
Weeks 2–12

Deliver

Hands-on workshops on your repositories. Paired sessions on real production patterns. Cohort reviews tied to the work people are actually shipping that week.

Hands-on workshops
Paired engineering sessions
Cohort review checkpoints
04
Ongoing

Embed

Office hours, refresher cohorts, and a living training register. Evidence packs ready for auditors — and a curriculum that updates as your stack and the regulations evolve.

Office hours & refreshers
Training register & evidence pack
Curriculum upkeep cadence

Training that produces evidence

Programmes designed to satisfy NIS2, the AI Act, GDPR, and the CRA — not as a slide-deck obligation, but as engineering habits backed by dated, auditable records.

AI Act Article 4 Literacy

Mandatory AI literacy for staff operating AI systems. Risk categories, transparency duties, human oversight, and prompt-handling discipline—documented per role, per cohort, per date.

NIS2 Security Awareness for Engineers

Threat-led awareness for the people who actually touch production. Incident reporting, supply-chain risk, secure-coding patterns—mapped to the NIS2 evidence your auditor will request.

GDPR-Aware Engineering

Data classification, residency, purpose limitation, and least-privilege patterns built into the engineer's daily workflow—not a one-off compliance slide deck filed away.

CRA-Ready Secure Development

Vulnerability handling, SBOM hygiene, signed releases, and support-period discipline—the practical skills the Cyber Resilience Act will require from your team by 2027.

ISO 27001 Documented Competence

Role-mapped engineering curricula that satisfy ISMS competence clauses—delivered as practical skill modules, captured in a dated training register your certification body can read directly.

DORA Operational Resilience Drills

ICT risk awareness, third-party register hygiene, and resilience-testing rehearsals for engineers in financial services—run as live drills, with the dated evidence DORA supervisors expect.

Curriculum surface

What we train on

Curriculum sourced from real production patterns — not vendor exam syllabi.

AWS OrganizationsIAM & Identity CenterEKSECSTerraformOpenTofuArgoCDFluxGitHub ActionsGitLab CIHelmBackstageSigstore / cosignOPA / KyvernoVaultDatadogPrometheusBedrock AgentsCursor / CopilotMLflowCloudTrailAWS Well-Architected

Ready to make capability
live in your team?

Book a training assessment. We map your stack, audit capability gaps, and propose a tailored cohort programme — with the AI Act, NIS2, and CRA evidence already baked in.