Docker & containers
Docker training: build containers, manage images with Dockerfiles and multi-stage builds and deploy applications reproducibly with Docker Compose.


DevOps courses on Docker, Kubernetes, CI/CD, Terraform and telemetry. Compare topics, levels and certification relevance, then enquire about training.
DevOps links development and operations through automation, containers and continuous delivery. The topics suit administrators, developers, platform and site reliability teams, and career changers with Linux basics. If you package applications, start with “Docker & containers”. To run many containers, “Kubernetes” fits. Build and release workflows are covered by “DevOps & CI/CD”. Choose by the order of daily work: containers first, then orchestration, then pipelines. Exam-related courses name vendors; these names imply no partnership. Scope and dates are confirmed on enquiry.
Docker training: build containers, manage images with Dockerfiles and multi-stage builds and deploy applications reproducibly with Docker Compose.
Kubernetes training: run workloads with Deployments, understand cluster components and secure deployments with RBAC, NetworkPolicy and Pod Security.
DevOps training: build pipelines with GitHub Actions or GitLab CI, automate tests and apply deployment strategies such as blue-green and canary releases.
Build a small pipeline for synthetic telemetry and trace its path through the Collector. Review configuration, data minimisation and failure cases before planning a transfer to a real operational environment.
AZ-400 training on Microsoft DevOps: structure repositories and branching, automate builds, tests and releases, and use telemetry to improve delivery.
Work with Terraform configuration, state, modules and HCP Terraform while connecting exam preparation to a controlled infrastructure workflow.
Understand containers, Kubernetes architecture, orchestration, observability and cloud-native foundations as an entry into advanced Kubernetes paths.
Learn the fundamentals of DevOps: the Three Ways, CI/CD, SRE, DevSecOps, culture and metrics, with preparation for the DevOps Foundation exam.
From Git and CI/CD to Docker, Podman, Kubernetes and Prometheus: use DevOps tools in practice while preparing for the LPI 701-200 exam.
AWS container training: clarify the delivery process, structure configuration, automate build and deployment, and observe container workloads in operation.
GKE training on Kubernetes operations: set platform limits, structure configuration, automate deployments and observe cluster workloads.
CI/CD training on Google Cloud: structure pipelines, automate build, test and deployment, and improve reliability in a measurable way.
OpenShift operations for platform teams: structure configuration, automate deployments and integrate observability, security and error handling.
Ansible training: build playbooks and inventories, structure configuration for reuse, and automate and document routine operations safely.
Advanced Ansible: design roles and collections, test your automation, build in error handling and document workflows so teams can reuse them.
CKA-style Kubernetes administration: run clusters, structure configuration, automate deployments and resolve operational faults with confidence.
Cloud native applications on Kubernetes, CKAD-style: shape deployments, automate build and test steps, then observe and fix faults.
Build Kubernetes platforms for development teams: shape delivery workflows and templates, automate pipelines, integrate security and observability.
Terraform training for newcomers to infrastructure as code: structure configuration, plan changes, automate provisioning and document it.
Build reusable Terraform modules: design interfaces, version configuration, set up tests and pipelines and make them usable for teams.
GitHub Actions in practice: build workflows for build, test and deployment, make them reusable and add security checks and monitoring.
Work with logs, metrics and traces in distributed applications, set useful alerts and narrow down the cause of failures more quickly.
Make reliability measurable: set availability targets, review outages and turn incident findings into concrete improvements for operations.
Elastic Stack course on observability and search: collect logs and metrics, build searches and dashboards, add security and alerting, and document the setup.