WARQLINE
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Build the teams that build the future

Training delivered by engineers who run production systems, so the examples come from real incidents rather than exam questions.

SUBJECTS

What we teach

Taught against working systems. Teams leave able to do the thing, not just describe it.

AWS

Architecture, security, networking and cost, taught against real workloads.

Azure

Core services, identity and landing zone patterns.

Google Cloud

Platform fundamentals through to data and AI services.

Kubernetes

From first cluster to running one safely in production.

DevOps

CI/CD, delivery practice and the reliability habits around it.

Terraform

Module design, state, and infrastructure code teams can maintain.

Security

Cloud security, identity and DevSecOps for engineering teams.

Generative AI

RAG, evaluation and putting language models into production systems.

Agentic AI

Designing, securing and operating agents that take actions.

FORMATS

How it is delivered

Most of our work is private training for a team, shaped around what that team already knows.

Instructor-led

Live sessions with an engineer who works on these systems.

Virtual classroom

Remote delivery for distributed teams, same instructor, same material.

Private corporate training

Built around your stack and your team's starting point.

Certification preparation

Focused preparation for cloud and Kubernetes certifications.

Custom workshops

A specific problem, worked through with your engineers.

Executive workshops

Shorter sessions for the people funding the decisions.

ROADMAP

Hands-on labs

Self-service lab environments — a broken cluster to fix, an exposed resource to secure, an incident to investigate — are being built. They are not available yet, and we would rather say so than let you discover it after booking.

Roadmap
  • Fix a broken Kubernetes deployment
  • Build an AWS landing zone
  • Secure an exposed cloud resource
  • Investigate a production incident
  • Build CI/CD with GitHub Actions
  • Deploy EKS with Terraform
  • Build an agent with Amazon Bedrock
  • Secure an AI agent

Tell us where your team is stuck

We will put together a programme around that, rather than sell you a catalogue course that half the room already knows.

Discuss training