For Individuals For Working Professionals For Corporate Training For Institutions
Log In
Sign Up
Enroll Now
🏢 Corporate Training Programs — Customized for Your Organization Get a Demo
🎯 95% Placement Rate — Start Your Career in AI, 5G & Telecom View Success Stories
🚀 New Batch Starting This Month — Limited Seats Available Enroll Now
Home All Courses General

Kubernetes Professional-From Fundamentals to Production Readiness

by Rajesh Kumar · in General · Last updated: August 8, 2026
Course Description
Become a Kubernetes Professional by mastering container orchestration from fundamentals to production readiness. This hands-on course covers Pods, Deployments, Services, Networking, Ingress, Storage, ConfigMaps, Secrets, RBAC, Monitoring, Troubleshooting, Scaling, High Availability, and Production Best Practices.
Designed for DevOps Engineers, Cloud Engineers, Software Developers, SREs, and IT Professionals, this course includes real-world labs, production deployment scenarios, CI/CD integration, security hardening, and Kubernetes troubleshooting techniques to help you confidently manage enterprise-grade Kubernetes environments.


External Reference
Kubernetes Documentation | Kubernetes



[migrated-from-learnpress]

Curriculum

22 Sections • 160 Lessons • 40 hour
1.11.1 The Evolution from Monoliths to Microservices
1.21.2 Container Orchestration: Why Kubernetes?
1.31.3 Kubernetes Architecture Deep Dive
1.41.4 Kubernetes Objects Overview
1.51.5 kubectl Command Structure and Syntax
1.61.6 Declarative vs Imperative Management
2.1LAB-1.1 Install and configure kubectl, Minikube/Docker Desktop
2.2LAB-1.2 Start a single-node cluster and verify components
2.3LAB-1.3 Run first pod imperatively: kubectl run nginx
2.4LAB-1.4 Explore cluster info: nodes, namespaces, components
2.5LAB-1.5 Basic pod operations: get, describe, delete
2.6LAB-1.6 Use kubectl aliases and autocomplete
3.12.1 Pod Lifecycle Deep Dive
3.22.2 Container Restart Policies
3.32.3 Multi-Container Pods
3.42.4 Container Probes Introduction
3.52.5 Pod Troubleshooting Techniques
3.62.6 Resource Management in Pods
4.1LAB-2.1 Create pods with different restart policies
4.2LAB-2.2 Build multi-container pod (nginx + log collector)
4.3LAB-2.3 Share volumes between containers in a pod
4.4LAB-2.4 Advanced pod troubleshooting: logs, exec, describe
4.5LAB-2.5 Copy files to/from pods using kubectl cp
4.6LAB-2.6 Use kubectl port-forward for local access
4.7LAB-2.7 Analyze pod events and conditions
4.8LAB-2.8 Practice: Debug a crashing pod scenario
5.13.1 Kubernetes Networking Model
5.23.2 Service Types Deep Dive
5.33.3 Service Discovery Mechanisms
5.43.4 Ingress Controllers
5.53.5 Network Policies (Introduction)
6.1LAB-3.1 Create Deployment with 3 replicas
6.2LAB-3.2 Expose as ClusterIP and test internal access
6.3LAB-3.3 Create NodePort service and access externally
6.4LAB-3.4 Verify service load balancing across pods
6.5LAB-3.5 Test service discovery via DNS
6.6LAB-3.6 Install NGINX Ingress Controller
6.7LAB-3.7 Create Ingress rules for host/path routing
6.8LAB-3.8 Configure TLS certificate in Ingress
6.9LAB-3.9 Advanced: Network policy implementation
7.14.1 Workload Resources Hierarchy
7.24.2 Deployments Deep Dive
7.34.3 Scaling Strategies
7.44.4 Rollout Management
7.54.5 Other Workload Controllers
8.1LAB-4.1 Create Deployment with 3 replicas from YAML
8.2LAB-4.2 Manual scaling up and down
8.3LAB-4.3 Perform rolling update (image version change)
8.4LAB-4.4 Monitor rollout status and history
8.5LAB-4.5 Rollback failed deployment to previous version
8.6LAB-4.6 Configure custom update strategy (maxSurge)
8.7LAB-4.7 Pause and resume deployment for batch updates
8.8LAB-4.8 Implement Horizontal Pod Autoscaler (HPA)
8.9LAB-4.9 Create and manage Jobs and CronJobs
8.10LAB-4.10 Practice: Blue-Green deployment simulation
9.15.1 Configuration Management Principles
9.25.2 ConfigMaps Deep Dive
9.35.3 Secrets Management
9.45.4 Downward API
9.55.5 External Secret Management
10.1LAB-5.1 Create ConfigMap using 4 different methods
10.2LAB-5.2 Inject ConfigMap as environment variables
10.3LAB-5.3 Mount ConfigMap as volume (file)
10.4LAB-5.4 Create and manage Secrets (base64)
10.5LAB-5.5 Mount Secret as volume and environment
10.6LAB-5.6 Use Downward API to expose pod metadata
10.7LAB-5.7 Build WordPress app with ConfigMap + Secret
10.8LAB-5.8 Implement ConfigMap update without restart
10.9LAB-5.9 Practice: Multi-environment configuration
11.16.1 Storage Fundamentals
11.26.2 Volume Types
11.36.3 Persistent Storage Architecture
11.46.4 Access Modes
11.56.5 StatefulSets for Stateful Applications
12.1LAB-6.1 Use emptyDir for temporary shared storage
12.2LAB-6.2 Configure hostPath volume (testing only)
12.3LAB-6.3 Create PersistentVolume (static provisioning)
12.4LAB-6.4 Create PersistentVolumeClaim and bind
12.5LAB-6.5 Deploy pod with PVC (persistent data)
12.6LAB-6.6 Dynamic provisioning with StorageClass
12.7LAB-6.7 Deploy MySQL with StatefulSet and PVC
12.8LAB-6.8 Test data persistence after pod deletion
12.9LAB-6.9 Scale StatefulSet and observe behavior
12.10LAB-6.10 Practice: Deploy WordPress with MySQL
13.17.1 Kubernetes Scheduler Overview
13.27.2 Node Selection Mechanisms
13.37.3 Taints and Tolerations
13.47.4 Pod Affinity and Anti-affinity
13.57.5 Resource Management
13.67.6 Node Maintenance
14.1LAB-7.1 Create and manage namespaces
14.2LAB-7.2 Apply ResourceQuota and LimitRange
14.3LAB-7.3 Add labels to nodes and use nodeSelector
14.4LAB-7.4 Implement Node Affinity (required/preferred)
14.5LAB-7.5 Configure Taints and Tolerations
14.6LAB-7.6 Use Pod Affinity and Anti-affinity
14.7LAB-7.7 Set resource requests and limits
14.8LAB-7.8 Observe QoS classes (Guaranteed/Burstable/BestEffort)
14.9LAB-7.9 Practice: Multi-tenant isolation with quotas
14.10LAB-7.10 Node maintenance (drain, cordon, uncordon)
15.18.1 The Three Pillars of Observability
15.28.2 Container Logging
15.38.3 Kubernetes Monitoring
15.48.4 Health Checks (Probes)
15.58.5 Cluster Events
15.68.6 Troubleshooting Workflow
16.1LAB-8.1 View and stream container logs
16.2LAB-8.2 Access logs from multi-container pod
16.3LAB-8.3 Install Metrics Server
16.4LAB-8.4 Monitor CPU/Memory with kubectl top
16.5LAB-8.5 Configure HTTP Liveness Probe
16.6LAB-8.6 Implement Readiness Probe with traffic management
16.7LAB-8.7 Use Startup Probe for slow applications
16.8LAB-8.8 Monitor cluster events in real-time
16.9LAB-8.9 Practice: End-to-end troubleshooting scenario
17.19.1 Kubernetes Security Model
17.29.2 RBAC Architecture
17.39.3 ServiceAccounts
17.49.4 Pod Security Standards
17.59.5 Security Best Practices
18.1LAB-9.1 Understand default ServiceAccount
18.2LAB-9.2 Create custom ServiceAccount
18.3LAB-9.3 Create Role and RoleBinding (namespace-scoped)
18.4LAB-9.4 Test permissions with kubectl auth can-i
18.5LAB-9.5 Create ClusterRole and ClusterRoleBinding
18.6LAB-9.6 Implement Pod Security Standards with labels
18.7LAB-9.7 Build a secure CI/CD ServiceAccount
18.8LAB-9.8 Practice: Least privilege implementation
18.9LAB-9.9 Audit RBAC permissions
19.110.1 Why Helm?
19.210.2 Helm Architecture (v3)
19.310.3 Chart Structure
19.410.4 Template Functions
19.510.5 Helm Operations
19.610.6 Chart Repositories
20.1LAB-10.1 Install Helm v3 and add repositories
20.2LAB-10.2 Search charts in Artifact Hub
20.3LAB-10.3 Install nginx chart from Bitnami
20.4LAB-10.4 Customize installation with values file
20.5LAB-10.5 Override values with --set flag
20.6LAB-10.6 Upgrade release and rollback
20.7LAB-10.7 Create your own Helm chart
20.8LAB-10.8 Use template functions and values
20.9LAB-10.9 Manage chart dependencies
20.10LAB-10.10 Install complex app (MySQL/WordPress)
20.11LAB-10.11 Practice: Package and share a custom chart
21.111.1 GitOps Principles
21.211.2 GitOps Tools Overview
21.311.3 Kustomize for Configuration Management
21.411.4 CI/CD Integration Patterns
21.511.5 Git Repository Structure
22.1LAB-11.1 Create Kustomize base for an application
22.2LAB-11.2 Build dev/staging/prod overlays
22.3LAB-11.3 Use strategic merge patches
22.4LAB-11.4 Apply Kustomize with kubectl -k
22.5LAB-11.5 Configure ConfigMapGenerator and SecretGenerator
22.6LAB-11.6 Simulate CI/CD pipeline with Git push
22.7LAB-11.7 Implement multi-environment promotion
22.8LAB-11.8 Practice: Complete GitOps workflow
22.9LAB-11.9 Conceptual: ArgoCD Application manifest

Instructor

R

Rajesh Kumar

0 Students 43 Courses

No bio available yet.

Reviews

0.0
0 ratings
5 star
0%
4 star
0%
3 star
0%
2 star
0%
1 star
0%

No reviews yet — be the first to enroll and leave one.

Questions & Answers (0)

Log in to ask a question.

No questions yet — be the first to ask.