Kubernetes for Application Deployment Certified Course

Course Description:

The Kubernetes for Application Deployment is designed to help learners master the concepts of container orchestration, scaling, and managing applications with Kubernetes. This course provides hands-on training in deploying, managing, and monitoring applications in Kubernetes clusters. Whether you are a developer, DevOps engineer, or IT professional, this program equips you with the essential skills to automate and streamline application deployment in modern cloud environments.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After Kubernetes for Application Deployment Certified Course:

• Kubernetes Administrator / Engineer
• DevOps Engineer
• Cloud Infrastructure Engineer
• Site Reliability Engineer (SRE)
• Application Deployment Specialist
• Container Orchestration Specialist

Essential Skills you will Develop Kubernetes for Application Deployment Certified Course:

• Kubernetes architecture and components understanding
• Container orchestration and scaling applications
• Deploying applications using YAML manifests
• Managing Pods, Deployments, and Services
• Config Maps, Secrets, and environment configurations
• Networking in Kubernetes clusters
• Persistent storage management with volumes
• Helm charts for application packaging and deployment
• Monitoring, logging, and troubleshooting applications
• CI/CD pipeline integration with Kubernetes

Tools Covered:

• Kubernetes (K8s)
• Docker
• Kubit CLI
• Helm
• Prometheus & Graafian (monitoring)
• Jenkins / GitHub Actions (CI/CD integration)
• Cloud Providers: AWS EKS, GCP GKE, Azure AKS

Syllabus:

Module 1: Introduction to Kubernetes What is Kubernetes & why it is needed Containers vs VMs Kubernetes architecture (Master & Worker nodes) Core components (API Server, Scheduler, Controller Manager, etc.) Kubernetes objects overview.

Module 2: Kubernetes Setup & Configuration Installing Kubernetes (Minisub / Cubed / Cloud-managed clusters: EKS, GKE, AKS) Installing and configuring kubectl Kubernetes dashboard setup Cluster contexts and namespaces

Module 3: Pods & Deployments Creating and managing Pods Replica Sets and Deployments Scaling applications up & down Rolling updates and rollbacks health checks (liveness & readiness probes).

Module 4: Kubernetes Services & Networking ClusterIP, NodePort, LoadBalancer Services DNS in Kubernetes Ingress controllers and Ingress resources Exposing applications to external users.

Module 5: ConfigMaps & Secrets Managing application configurations with ConfigMaps Environment variables and mounting configs Storing and securing secrets (passwords, API keys, TLS certs) Injecting secrets into applications.

Module 6: Storage in Kubernetes Volumes in Kubernetes Persistent Volumes (PV) and Persistent Volume Claims (PVC) Storage classes and dynamic provisioning StatefulSets for tasteful applications.

Module 7: Helm – Kubernetes Package Manager Introduction to Helm Installing and configuring Helm Using pre-built Helm charts Creating custom Helm charts for applications Best practices in Helm deployment.

Module 8: Monitoring & Logging Setting up Prometheus for monitoring Graafian dashboards for visualization Logging with EFK stack (Elasticsearch, Fluent, Kibana) Troubleshooting Kubernetes applications.

Module 9: Security in Kubernetes Role-Based Access Control (RBAC) Service accounts and permissions Network policies for pod communication Pod Security Policies (PSPs) & Security Contexts.

Module 10: CI/CD with Kubernetes Introduction to CI/CD pipelines Integrating Jenkins / GitHub Actions / GitLab CI with Kubernetes Automating application builds and deployments Blue-Green & Canary deployments End-to-end project deployment in Kubernetes.

Industry Projects:

• Deploying a multi-tier web application on Kubernetes
• Creating a CI/CD pipeline for microservices deployment
• Scaling applications dynamically based on traffic
• Monitoring Kubernetes cluster with Prometheus & Grafana
• Using Helm to package and deploy a custom application

 Who is this program for?

• Software Engineers and Developers
• DevOps and Cloud Engineers
• System Administrators
• IT Professionals looking to upskill in Kubernetes
• Anyone interested in container orchestration and cloud-native deployments

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com