
The Complete Kubernetes Course In BTM Layout Bangalore
Overview
Kubernetes Training in BTM Layout, Bangalore
Master Kubernetes, the industry-leading platform for managing containerized workloads, with our comprehensive training program in BTM Layout, Bangalore. Designed for IT professionals, DevOps engineers, and cloud enthusiasts, this course covers all aspects of Kubernetes, from core concepts to advanced practices.
Course Highlights:
- Core Kubernetes Concepts: Understand Kubernetes architecture, including nodes, pods, and clusters.
- Declarative Configuration: Learn how to manage workloads with declarative YAML files.
- Automation: Explore automation techniques for scaling, updates, and maintenance.
- Ecosystem Tools: Gain insights into Kubernetes-related tools like Helm, Prometheus, and Istio.
- Google’s Best Practices: Leverage over 15 years of Google’s expertise and community-driven practices.
- Real-World Scenarios: Work on hands-on projects to deploy, manage, and scale containerized applications.
Why Choose Us?
- Certified trainers with extensive Kubernetes and containerization experience.
- Hands-on labs to build practical skills in Kubernetes management.
- Flexible learning schedules for working professionals and students.
- Conveniently located in BTM Layout, Bangalore, offering a collaborative learning environment.
- Certification guidance to help you excel in cloud-native and DevOps roles.
Join the best Kubernetes Training in BTM Layout, Bangalore, and become proficient in managing containerized workloads at scale. Enroll today and elevate your career in DevOps and cloud technologies!
What You will Learn?
- Your are going to learn about Kubernetes Architecture.
- Learn about Deployment and Scaling.
- About Configuration and Secrets.
- Learn about Monitoring and Logging.
- Networking
- Services and Networking
- Volumes and Storage
- Configuring Applications
- Stateful Applications

The Complete Kubernetes Course Syllabus
- 1.01 Introduction
- 1.02 Learning Objective
- 1.03 Microservices
- 1.04 Need for Microservices
- 1.05 Vertualization
- 1.06 Containers
- 1.07 Docker
- 1.08 Use Cases of Docker
- 1.09 Concept of Containerization
- 1.10 Docker Vs. Virtualization
- 1.11 Docker Architecture
- 1.12 Docker as Prerequisite for Kubernetes
- 1.13 Kubernetes
- 1.14 Summary
- 2.01 Learning Objectives
- 2.02 Container on Docker Host
- 2.03 Docker Installation on Ubuntu
- 2.04 Docker Installation on Ubuntu using Docker Repository
- 2.05 Docker Installation on Ubuntu using Package
- 2.06 Docker Installation on Ubuntu using Automated Scripts
- 2.07 Docker Installation on Ubuntu using Automated Scripts
- 2.08 Working with Docker Container
- 2.09 List Docker Container
- 2.10 Start or Stop or Exit Containers
- 2.11 Naming Containers
- 2.12 Docker Networks
- 2.13 Summary
- 2.14 Demo: Docker
- 3.01 Learning Objectives
- 3.02 Orchestration of Containers
- 3.03 Docker Swarm
- 3.04 Docker Swarm Features
- 3.05 Kubernetes Architecture
- 3.06 Kubernetes Vs. Docker Swarm
- 3.07 Docker Compose
- 3.08 Container Logs
- 3.09 Docker Compose Configuration
- 3.10 Web Application Deployment
- 3.11 Summary
- 3.12 Demo: Docker
- 4.01 Learning objectives
- 4.02 Introduction to Kubernetes
- 4.03 Relationship between Kubernetes and Containers
- 4.04 Kubernetes Architecture
- 4.05 Kubernetes Master Components
- 4.06 Kubernetes Node Components
- 4.07 Deployment using Pod or Container
- 4.08 Summary
- 5.01 Learning Objectives
- 5.02 VirtualBox
- 5.03 Ubuntu VM on Oracle VirtualBo
- 5.04 Minikube
- 5.05 Kubectl
- 5.06 DashBoard
- 5.07 Summary
- 5.08 Demo: Kubernetes Deployment
- 6.01 Learning Objectives
- 6.02 YAML
- 6.03 Imperative Management of Kubernetes Objects
- 6.04 Kubernetes Pods
- 6.05 Kubernetes Deployments
- 6.06 Kubernetes ReplicaSets
- 6.07 Kubernetes Services
- 6.08 Summary
- 6.09 Demo: Kubernetes Pods Deployments and Replica Sets
- 7.01 Learning Objectives
- 7.02 Kubernetes Networking
- 7.03 Kubernetes Networking Architecture: Part One
- 7.04 Kubernetes Networking Architecture: Part Two
- 7.05 Volumes
- 7.06 Persistent Volumes
- 7.07 Persistent Volume Life Cycle
- 7.08 Summary
- 8.01 Learning Objective
- 8.02 Deploying Kubernetes Application
- 8.03 Kubernetes Namespace
- 8.04 Kubernetes Labels and Selectors
- 8.05 Kubernetes DaemonSets
- 8.06 Kubernetes Volumes
- 8.07 Kubernetes Jobs and Cron Jobs
- 8.08 Kubernetes ConfigMaps and Secrets
- 8.09 Summary
- 8.10 Demo: ConfigMap
- 8.11 Demo: CronJob
- 8.12 Demo: DaemonSet
- 8.13 Demo: Job
- 8.14 Demo: Secret
- 8.15 Demo: Deployment
- 8.16 Demo: Labels Sectors
- 8.17 Demo: Namespace PodInNamespace
- 9.01 Learning Objective
- 9.02 Kubernetes Scaling
- 9.03 Kubernetes Autoscaling
- 9.04 Kubernetes Rolling Updates
- 9.05 Kubernetes RollBack
- 9.06 Kubernetes Pod CPU and Memory Reservations
- 9.07 Summary
- 9.08 Demo Kubernetes Scaling and Kubernetes Cluster