Our Kubernetes Administrator Certification Course will elevate your DevOps career with a curriculum designed by top industry experts. You will learn all the essential concepts including application lifecycle management, configuration and validation, installation, scheduling, networking, cluster maintenance, security store, troubleshooting, and other core concepts that help you to prepare for the CKA exam.
Kubernetes Administrator Certification
Instructor
admin
- Description
- Curriculum
- FAQ
- Notice
- Reviews
Prerequisites
Individuals or working professionals who are planning to take up this course should have a solid understanding of Docker and containers. Also, it is beneficial to have a working knowledge of Linux shells, though it is not mandatory. However, if you have no knowledge of Docker and want to boost your skills, then you can take up the Docker Certified Associate course first.
What will you gain after this course
After completing this course, you will be able to:
- Acquire skills to become a Kubernetes cluster administrator
- Learn to deploy, manage, and troubleshoot Kubernetes clusters
- Gain knowledge of Kubernetes architecture and components
- Learn to implement Kubernetes storage and networking
- Understand the process of scaling Kubernetes applications
- Gain hands-on experience in Kubernetes deployment and management
Jobs you can get
with a Kubernetes Administrator Certification
- DevOps Engineer
- DevOps Professional
- Cloud Administrator
- Kubernetes Administrator
- Linux Administrator
- System Administrator
- Software Engineer
- Software Developer
Select your preferred training delivery mode
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Hardware
Networking
Mobile Devices
Hardware & Networking Troubleshooting
Virtualization & Cloud Computing
Windows Operating System
Security
Software Troubleshooting
Operational Procedures
Q: What kind of support will I get during the course?
You will have access to assistance and support throughout the course. Additionally, you will have access to free mentorship, live chat for instant solutions, and mandatory feedback sessions.
Q: Will I have access to class recordings?
Yes, you will have access to the class recordings.
Q: What kind of roles can I expect after completing this course?
After completion of the Machine Learning Certification Course, you will be prepared for a career as a Machine Learning Engineer or Data Scientist. You can also work as a UK Data Scientist.
Introduction
- Introduction
- Learning Objective
- Need for Microservices
- Vertualization
- Containers
- Docker
- Use Cases of Docker
- Concept of Containerization
- Docker Vs. Virtualization
- Docker Architecture
- Docker as Prerequisite for Kubernetes
- Kubernetes
- Summary
Docker
- Learning Objectives
- Container on Docker Host
- Docker Installation on Ubuntu
- Docker Installation on Ubuntu using Docker Repository
- Docker Installation on Ubuntu using Package
- Docker Installation on Ubuntu using Automated Scripts
- Working with Docker Container
- List Docker Container
- Start or Stop or Exit Containers
- Naming Containers
- Docker Networks
- Summary
Docker Orchestration
- Learning Objectives
- Orchestration of Containers
- Docker Swarm
- Kubernetes Architecture
- Kubernetes Vs. Docker Swarm
- Docker Compose
- Container Logs
- Docker Compose Configuration
- Web Application Deployment
- Summary
Overview of Kubernetes
- Learning Objectives
- Introduction to Kubernetes
- Relationship between Kubernetes and Containers
- Kubernetes Architecture
- Kubernetes Master Components
- Kubernetes Node Components
- Deployment using Pod or Container
- Summary
Kubernetes Deployment
- Learning Objective?
- VirtualBox
- Ubuntu VM on Oracle VirtualBox
- Minikube
- Kubectl
- DashBoard
- Summary
- Demo: Kubernetes Deployment
Kubernetes Pods, Deployments and Replicasets
- Learning Objectives
- YAML
- Imperative Management of Kubernetes Objects
- Kubernetes Pods
- Kubernetes Deployments
- Kubernetes ReplicaSets
- Kubernetes Services
- Summary
- Demo: Kubernetes Pods Deployments and Replica ReplicaSets
Kubernetes Networking and Storage
- Learning Objectives
- Kubernetes Networking
- Kubernetes Networking Architecture: Part One
- Kubernetes Networking Architecture: Part Two
- Volumes
- Persistent Volumes
- Persistent Volume Life Cycle
- Summary
Kubernetes Implementation
- Learning Objectives
- Deploying Kubernetes Applications
- Kubernetes Namespace
- Kubernetes Labels and Selectors
- Kubernetes DaemonSets
- Kubernetes Volumes
- Kubernetes Jobs and Cron Jobs
- Kubernetes ConfigMaps and Secrets
- Summary
- Demo: ConfigMap
- Demo: CronJob
- Demo: DaemonSet
- Demo: Job
- Demo: Secret
- Demo: Deployment
- Demo: Labels Sectors
- Demo: Namespace PodInNamespace
Kubernetes Clusters
- Learning Objective
- Kubernetes Scaling
- Kubernetes Autoscaling
- Kubernetes Rolling Updates
- Kubernetes RollBack
- Kubernetes Pod CPU and Memory Reservations
- Summary
- Demo Kubernetes Scaling and Kubernetes Cluster
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Course details
Duration
5 Days / 5 Weeks
Video
London, Flexible Online
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