Kubernetes Engineer

Kubernetes Course

The Kubernetes Basics to Advance course provides learners with a strong foundation in container orchestration using Kubernetes. Participants learn Kubernetes architecture, clusters, nodes, pods, deployments, ReplicaSets, services, namespaces, ConfigMaps, Secrets, persistent storage, scaling, and basic troubleshooting. Through hands-on projects and real-world deployment scenarios, learners develop practical skills to deploy, manage, and scale containerized applications efficiently across production-grade environments.

Docker Course

The Docker Basics to Advance course equips learners with the skills to build, package, and deploy containerized applications for Kubernetes environments. Participants explore Docker images, containers, Dockerfiles, Docker Compose, networking, storage volumes, image optimization, security best practices, container registries, and deployment workflows. Through practical implementation projects, the course prepares learners to develop portable and scalable containerized applications.

Helm Course

The Helm Basics to Advance course focuses on simplifying Kubernetes application deployment using Helm package management. Learners master Helm charts, repositories, templates, values files, releases, dependencies, upgrades, rollbacks, chart customization, and best practices for application lifecycle management. The course emphasizes practical implementation through enterprise Kubernetes deployment projects.

kubectl Course

The kubectl Basics to Advance course provides comprehensive training in managing Kubernetes clusters using the Kubernetes command-line interface. Participants learn cluster management, resource creation, deployments, scaling, troubleshooting, configuration management, debugging, log analysis, namespace management, and automation techniques. Through hands-on exercises, the course develops the operational skills required to administer Kubernetes environments efficiently.

Rancher Course

The Rancher Basics to Advance course equips learners with expertise in managing multiple Kubernetes clusters through the Rancher platform. Participants explore cluster provisioning, user management, role-based access control (RBAC), application catalogs, monitoring, security, backup strategies, governance, and centralized cluster administration. The course prepares learners to efficiently manage enterprise Kubernetes infrastructures.

ArgoCD Course

The ArgoCD Basics to Advance course focuses on implementing GitOps practices for Kubernetes deployments. Learners master application synchronization, Git repositories, declarative deployments, automated rollouts, rollback strategies, configuration management, multi-cluster deployments, security, monitoring, and continuous delivery workflows. Through practical DevOps projects, the course prepares participants to automate Kubernetes application delivery using GitOps principles.

Prometheus Course

The Prometheus Basics to Advance course teaches learners how to implement monitoring and observability for Kubernetes clusters. Participants explore metrics collection, exporters, PromQL, alerting rules, service discovery, recording rules, dashboard integration, monitoring strategies, and performance optimization. The course develops practical skills to proactively monitor applications, containers, and Kubernetes infrastructure.

Grafana Course

The Grafana Basics to Advance course provides comprehensive training in creating monitoring dashboards and visual analytics for Kubernetes environments. Participants learn dashboard creation, visualization panels, data source integration, alerting, transformations, reporting, user management, performance optimization, and observability best practices. Through project-based learning, the course enables learners to monitor cluster health and application performance effectively.

Istio Course

The Istio Basics to Advance course equips learners with advanced skills in implementing a service mesh for Kubernetes applications. Participants explore traffic management, service discovery, load balancing, mutual TLS (mTLS), security policies, observability, telemetry, fault injection, circuit breaking, canary deployments, and service mesh architecture. Through hands-on projects, the course prepares learners to build secure, resilient, and highly observable microservices environments in Kubernetes.