Private team accelerator
Production Kubernetes Capability Accelerator
Build the operational skills required to deploy, secure, troubleshoot and improve production Kubernetes environments.
Corporate Training
Hands-on, role-aware programmes for cloud, platform, security, DevOps and AI teams—adapted to organizational priorities, technology environments and real engineering challenges.
Featured programmes
Focused programmes designed around practical capability, organizational context and workplace application.
Private team accelerator
Build the operational skills required to deploy, secure, troubleshoot and improve production Kubernetes environments.
Hands-on bootcamp
Develop practical capability in OpenShift administration, security, observability, application operations and troubleshooting.
Workshop and applied programme
Create repeatable platform services, GitOps workflows, paved roads and responsible developer self-service.
Hands-on bootcamp
Integrate security testing, SBOM, image signing, policy enforcement and deployment evidence into CI/CD pipelines.
Practitioner accelerator
Improve reliability through observability, service objectives, incident practices and resilience engineering.
Hands-on bootcamp
Build practical capability in cluster architecture, data ingestion, index design, dashboards, security, performance tuning and operational troubleshooting.
Architecture workshop
Explore enterprise agents, RAG, MCP, A2A, identity, governance, security and trusted agent integration.
Core learning tracks
Select an individual subject or combine related topics into a private programme for your organization.
Develop the practical skills required to deploy, operate, secure and troubleshoot enterprise container platforms.
Build internal platforms and repeatable delivery paths that improve developer experience without losing governance.
Improve software delivery through automation, integrated security controls and verifiable evidence.
Protect cloud-native workloads through identity, secrets management, policy and continuous assurance.
Help teams measure system behaviour, manage reliability and learn effectively from failure.
Develop the capability to design, deploy, secure, operate and optimize enterprise search and analytics platforms for observability, security and AI workloads.
Strengthen security-monitoring, detection and incident-response capability across cloud and container platforms.
Develop the architecture and operational capability required to build, govern and secure enterprise AI systems.
Build secure, repeatable cloud foundations using sound architecture and infrastructure automation.
Delivery formats
The format, depth and duration can be adjusted to the audience, existing skill level and desired organizational outcome.
2–4 hours
CIOs, CTOs, CISOs and senior leaders
Decision-focused sessions connecting technology choices with organizational priorities, risks and operating models.
1–2 days
Technical teams and cross-functional groups
Focused learning combining essential concepts, demonstrations, guided exercises and team discussion.
3–5 days
Engineers, architects and operators
Intensive technical development built around practical labs, troubleshooting and operational scenarios.
4–8 weeks
Teams applying learning to a real initiative
A structured combination of training, mentoring, technical exercises and an applied engineering PoC.
Custom
Organization-specific cohorts
A programme tailored to the organization’s stack, existing skill level, delivery constraints and target outcomes.
Learning approach
The objective is to leave teams with stronger judgment, practical capability and reusable engineering patterns.
Content is adjusted for leaders, architects, developers, security practitioners and operations teams.
Labs, demonstrations and scenarios help participants connect concepts with operational practice.
Private programmes can reflect the organization’s architecture, tools, policies and delivery maturity.
Participants leave with practical patterns, reference material, playbooks and recommendations they can apply.
Specialist programmes
Specialist subjects can be delivered independently or incorporated into a broader capability programme.
Who it is for
A programme can bring together participants from one discipline or support a cross-functional transformation initiative.
Engagement process
01
Understand the audience, current capability, technology environment and organizational objectives.
02
Select the appropriate learning track, depth, labs, delivery format and expected outcomes.
03
Combine explanation, demonstration, hands-on exercises, discussion and practical feedback.
04
Connect the learning to an architecture decision, operational improvement, reference implementation or PoC.
Practitioner-led training
Training is informed by more than two decades of work across telecommunications, cloud platforms, Kubernetes, OpenShift, DevSecOps, cybersecurity, reliability and emerging AI systems. Programmes connect architecture with hands-on engineering, operational evidence and team capability.
Start a conversation
Start with the audience, current skill level, technology environment and organizational objective. The programme can then be shaped as an executive briefing, workshop, technical bootcamp or applied capability accelerator.