k8s

CKA + CKAD | On-Prem + Multi-Cloud | Terraform | Helm | GitOps | Argo CD | Jenkins | Observability | AI

Move beyond Kubernetes theory and certification preparation—build the confidence to work with real cloud-native platforms.

This intensive, hands-on program is designed for aspiring and working DevOps Engineers, Cloud Engineers, System Administrators, and developers who want to become production-ready Kubernetes professionals. You will learn how modern applications are containerized, deployed, automated, secured, monitored, scaled, and troubleshot in real-world environments.

Start with Docker and Kubernetes fundamentals, then progress into advanced administration, application delivery, multi-cloud managed Kubernetes, Infrastructure as Code, CI/CD, GitOps, observability, and practical AI-assisted DevOps workflows. Every module is focused on helping you connect the tools—not just learn them individually.

Work hands-on with on-premises Kubernetes and leading managed Kubernetes services: Amazon EKS, Azure AKS, and Google Kubernetes Engine (GKE). Build the skills needed to deploy and operate cloud-native applications with the workflows used by modern platform and DevOps teams.

Why This Program?

• Production-focused learning: Go beyond commands and concepts to understand how Kubernetes platforms are built and operated in practical environments.
• Multi-cloud exposure: Gain hands-on familiarity with on-prem Kubernetes as well as EKS, AKS, and GKE.
• End-to-end DevOps workflow: Connect Docker, Jenkins, Terraform, Helm, GitOps, Argo CD, Prometheus, and Grafana into one complete delivery platform.
• Certification plus practical skills: Strengthen your CKA and CKAD foundation while developing skills that matter in real DevOps and Platform Engineering roles.
• Live guidance and ongoing support: Learn through interactive online sessions, access recordings after each class, and get dedicated doubt support throughout the program.

🎯 Who Should Join?

This program is ideal for learners who want to build practical, job-relevant cloud-native skills:

• Aspiring DevOps, Cloud DevOps, Platform, and SRE Engineers
• System Administrators transitioning into Kubernetes and cloud operations
• Developers who want to deploy and manage applications on Kubernetes
• Professionals preparing for CKA and CKAD with hands-on project exposure
• Cloud professionals seeking multi-cloud Kubernetes, GitOps, IaC, CI/CD, and observability skills

📚 Learning Approach

This is not a theory-only course. The learning experience is structured around live demonstrations, hands-on practice, real-world deployment scenarios, operational troubleshooting, and production-oriented workflows.

You will learn how to think like a Kubernetes and DevOps engineer: build reliable environments, automate repeatable tasks, observe system behavior, investigate issues, and safely deliver changes.

🚀 Upcoming Batch Details

Build Skills That Translate to Real Projects

Build practical confidence. Strengthen your CKA and CKAD foundation. Learn cloud-native tools the way they work together in production.

Advanced Kubernetes • Cloud-Native • Multi-Cloud • DevOps • GitOps • Observability • AI

Need help or want to enroll? Contact us on WhatsApp: +91 9966231191

Course Focus Areas

Docker & Containerization

• Learn Docker fundamentals, container lifecycle management, image creation, Dockerfiles, Docker Compose, volumes, networking, and container registries.
• Build optimized Docker images using multi-stage builds, image tagging, environment variables, and production-oriented container practices.
• Understand container security scanning and image vulnerability remediation as part of modern DevOps workflows.
• Gain practical experience containerizing applications for local development, CI/CD pipelines, and Kubernetes deployments.

Kubernetes Administration & Application Management

• Master Kubernetes architecture, cluster components, nodes, namespaces, Pods, Deployments, StatefulSets, DaemonSets, Services, and Ingress.
• Learn how to deploy, manage, scale, update, and rollback real-world containerized applications.
• Work with ConfigMaps, Secrets, resource requests and limits, autoscaling, health checks, readiness probes, liveness probes, persistent storage, PVs, PVCs, and Storage Classes.
• Troubleshoot common production issues involving pod failures, image pulls, networking, DNS, storage, scheduling, resource constraints, and application rollouts.

On-Premises Kubernetes

• Build and manage Kubernetes environments in on-premises infrastructure.
• Understand practical cluster architecture, control plane and worker node responsibilities, networking, storage, access management, and workload scheduling.
• Learn operational practices for maintaining reliable Kubernetes clusters in enterprise-style environments.

Multi-Cloud Kubernetes: AWS EKS, Azure AKS & Google GKE

• Gain hands-on exposure to Amazon EKS, Azure AKS, and Google Kubernetes Engine (GKE).
• Learn how managed Kubernetes clusters are provisioned, configured, scaled, upgraded, monitored, and troubleshot across cloud platforms.
• Understand cloud networking, node groups and node pools, identity and access management, load balancing, container registries, and cluster lifecycle management.
• Explore practical deployment patterns for Kubernetes workloads in AWS, Azure, and Google Cloud.

CKA + CKAD Preparation

• Build a strong foundation in Kubernetes concepts aligned with Certified Kubernetes Administrator (CKA) and Certified Kubernetes Application Developer (CKAD) skills.
• Practice with hands-on scenarios covering cluster administration, workload deployment, networking, storage, configuration, troubleshooting, and application lifecycle management.
• Strengthen your certification preparation through practical exercises rather than theory alone.

Terraform & Infrastructure as Code

• Automate cloud and Kubernetes infrastructure using Terraform.
• Learn Terraform modules, variables, outputs, remote state, state locking, workspaces, and environment separation.
• Provision cloud networking, Kubernetes clusters, node pools, IAM/RBAC permissions, load balancers, container registries, and supporting infrastructure.
• Implement Infrastructure as Code practices for repeatable, reviewable, and production-oriented deployments.

Helm: Kubernetes Application Packaging

• Learn how to package, configure, and deploy Kubernetes applications using Helm charts.
• Create reusable Helm charts and manage environment-specific configurations with values.yaml files.
• Perform Helm install, upgrade, release management, dependency handling, validation, and rollback operations.
• Standardize application deployments across development, QA, staging, and production environments.

GitOps & Argo CD

• Implement modern GitOps workflows where Git serves as the source of truth for Kubernetes configuration and application deployment.
• Learn Argo CD installation, application configuration, synchronization, health checks, drift detection, self-healing, environment promotion, and rollback workflows.
• Integrate Helm charts with Argo CD for declarative, automated, and repeatable Kubernetes releases.
• Understand Git-based review and approval practices for controlled production deployments.

Jenkins & CI/CD

• Build production-oriented CI/CD pipelines for containerized applications and Kubernetes deployments.
• Automate source validation, application builds, tests, Docker image creation, security scanning, registry publishing, and deployment promotion.
• Learn how Jenkins integrates with Git, Docker, Helm, GitOps repositories, Argo CD, and Kubernetes.
• Understand end-to-end software delivery workflows from developer commit to production deployment.

Prometheus, Grafana & Observability

• Implement Kubernetes monitoring using Prometheus, exporters, service discovery, metrics collection, alert rules, and Alertmanager.
• Build Grafana dashboards for cluster, node, namespace, pod, container, and application metrics.
• Learn to monitor CPU and memory usage, pod restarts, workload availability, latency, error conditions, capacity, and deployment health.
• Develop practical skills in alerting, observability, incident investigation, and production troubleshooting.

AI for Cloud-Native & DevOps

• Explore practical AI-assisted approaches for DevOps automation, Kubernetes operations, documentation, troubleshooting, and productivity.
• Learn how AI can support incident investigation, configuration review, operational runbooks, automation ideas, and cloud-native workflows.
• Understand how to use AI responsibly alongside strong engineering practices, monitoring data, and human operational judgment.

End-to-End Production Workflow

Git → Jenkins → Docker Build → Security Scan → Container Registry → Helm → GitOps Repository → Argo CD → Kubernetes → Prometheus → Grafana → AI-Assisted Operations

Learn how these technologies work together to create a modern cloud-native DevOps platform—from code commit to secure, automated, observable application deployment.