Course Overview
The Docker & Kubernetes Advanced Training program provides comprehensive coverage of containerization technologies and container orchestration. The Docker component covers container fundamentals, Docker architecture, installation, container lifecycle management, monitoring, troubleshooting, storage, networking, image creation, Dockerfiles, registries, Docker Compose, and Docker Swarm.
The Kubernetes component focuses on cluster architecture, configuration, workload management, deployments, services, storage, networking, security, observability, and troubleshooting. Participants will explore Kubernetes resources such as Pods, ReplicaSets, Deployments, StatefulSets, DaemonSets, ConfigMaps, Secrets, and Persistent Volumes through demonstrations and practical implementation exercises.
This is a customized enterprise training program covering advanced Docker and Kubernetes administration concepts.
Course Objective
- Understand containerization concepts, Docker architecture, and the underlying Linux technologies.
- Install, configure, and manage Docker environments across supported operating systems.
- Create, manage, monitor, and troubleshoot Docker containers.
- Configure Docker volumes, bind mounts, temporary filesystems, and networking.
- Build and optimize Docker images using Dockerfiles and multi-stage builds.
- Manage Docker image registries and perform image sharing operations.
- Understand Kubernetes architecture, cluster components, and resource management.
- Deploy and manage Kubernetes workloads, services, storage, and networking.
- Implement Kubernetes authentication, authorization, RBAC, and network policies.
- Monitor, maintain, upgrade, back up, and troubleshoot Kubernetes clusters.
Pre-requisites
- Basic Linux/Unix commands, Bash, file and directory management.
- Basic Linux networking concepts and networking fundamentals.
- Understanding of Linux Kernel concepts, including CPU, memory, storage, and process management.
- Familiarity with virtual machines using VMware or VirtualBox.
- Basic mathematical knowledge and an interest in learning Kubernetes.
Course Curriculum
