Online live Training
Real-time guided container & K8s labs.
Over 10 years we help companies reach their financial and branding goals. Engitech is a values-driven technology agency dedicated.
411 University St, Seattle, USA
engitech@oceanthemes.net
+1 -800-456-478-23
Docker and Kubernetes are essential components of modern DevOps and cloud-native environments. This program trains you to containerize applications using Docker and orchestrate deployments using Kubernetes. You will learn Docker images, registries, CI/CD pipeline integration, Kubernetes Pods, Deployments, Services, Scaling, ConfigMaps, and production-like workloads — making you job-ready for DevOps & Cloud Engineering roles.
A structured learning path covering container workflows, orchestration, scaling, and real-world deployment architecture.
10+ Years of Experience in CI/CD, Containers, Kubernetes & Cloud Deployments.
Worked on large-scale distributed systems in SaaS & Cloud-native platforms.
Trained 4,600+ learners moving into DevOps / SRE / Cloud Engineering roles. .
Focus: Practical implementation + environment understanding + interview confidence.
Flexible Batches (Weekday / Weekend).
Real-time guided container & K8s labs.
Hands-on practice in lab setup.
Personalized deployment coaching
On-prem/cloud orchestration training for teams.
This course prepares you for high-demand cloud-native DevOps engineering roles
Comprehensive learning experience designed for career success
Work on actual K8s cluster workloads.
Interview questions & architecture explanation included.
Starts with basics → moves into orchestration.
Recorded sessions, labs & documentation retained.
Containerization, K8s cluster orchestration, workload scaling, deployment automation, logging & debugging.
High demand in DevOps companies, SaaS product firms, e-commerce, cloud platform teams, and global enterprise IT.
Freshers, DevOps aspirants, system administrators, cloud professionals, automation engineers, and backend developers.
Basic Linux & cloud fundamentals recommended (training includes refresher module).
Build Docker images → Push to registry → Deploy via Compose.
Deploy multi-tier app with autoscaling & load balancing.
Automate build → test → deploy to Kubernetes cluster.