Container Orchestration using Kubernetes Certification - eLearning

Container Orchestration using Kubernetes Certification - eLearning

Program Overview:

Kubernetes is one of the most popular container orchestration tools available. The Container Orchestration with Kubernetes Certification course will help you grasp the essential skills, technology, and concepts that a Kubernetes administrator needs to know. Plan to oversee containerized workloads and administrations with industrial Organizations utilizing the Kubernetes Preparing course. It covers all aspects, including application lifecycle management, installation, configuration and validation, networking, scheduling, security, cluster maintenance, core concepts, Azure Kubernetes, storage, and more.

Program Features:

• 8 hours of Online self-paced learning
• 2 Course end Projects
• 2 Course end Assessments
• Flexibility in choosing classes
• Industry-recognized course completion certificate

Delivery Mode:

Online self-paced learning 

Prerequisites:

It would be best to have a solid understanding of containers, particularly Docker. Our DevOps Certification course will help you learn about Docker. Working experience with Linux shells is beneficial but optional.

Target Audience:

• Software developers
• Software engineers
• System administrators
• Linux administrators
• Cloud administrators

Key Learning Outcomes:

By the end of this online Container Orchestration with Kubernetes course, you will be able to:

• Understand the application lifecycle management
• Install and configure Kubernetes
• Maintain clusters, security, storage, and volumes
• Comprehend microservices architecture

Certification Details and Criteria:

Gain the course certificate by finishing any one of the given criteria

• Pass at least one Course end Project out of two
• Pass at most minuscule one Assessment test out of two with 75% passing marks

Course Curriculum: Self Paced Curriculum

Lesson 01 - Introduction

• Introduction

Lesson 02 - Kubernetes Overview

• Containers Overview
• Demo - Setup Lab – VirtualBox
• Demo – Docker
• Container Orchestration
• Kubernetes Architecture

Lesson 03 - Setup Kubernetes

• Kubernetes Setup - Introduction and Minikube
• Demo – Minikube
• Kubernetes Setup – Kubeadm
• Demo - Kubeadm - Part 1 - Setup Virtual Machines and Prerequisites
• Demo - Kubeadm - Part 2 - Configure Cluster with Kubeadm
• Demo - Kubernetes on Google Cloud Platform
• Demo - play-with-k8s.com

Lesson 04 - Kubernetes Concepts

• PODs
• Demo – PODs

Lesson 05: YAML Introduction

• Introduction to YAML

Lesson 06 - Kubernetes Concepts - PODs, ReplicaSets, Deployments

• PODs with YAML
• Tips & Tricks – YAML
• Replication Controllers and ReplicaSets
• Demo – ReplicaSets
• Deployments
• Demo – Deployments
• Deployments - Update and Rollback
• Demo - Deployments - Update and Rollback

Lesson 07 - Networking in Kubernetes

• Basics of Networking in Kubernetes
• Demo - Networking in Kubernetes

Lesson 08 - Services

• Services – NodePort
• Demo – Services
• Services – ClusterIP

Lesson 09: Microservices Architecture

• Microservices Application
• Demo - Deploying Microservices
• Application on GCP Kubernetes Cluster
• Demo - Example Voting Application Improvised - v2

Lesson 10: Conclusion

• Conclusion

Course End Projects:

Project 1: IT Software Containerization

As a Kubernetes developer, demonstrate your web application's packaging in a Docker container image. Use the container image on the Google Kubernetes Engine cluster as a load-balanced set of replicas that can scale to the needs of your users. Scale a deployed application in Google Kubernetes Engine, then deploy a new version of your app without having zero downtime and finally deploy it to the cluster.

Project 2: Social Media underlying infra challenges

As a Kubernetes Developer, complete the features of the application Scalability by demonstrating how to create a Cluster with the autoscale feature, How to resize the existing cluster size to meet infra requirements of already running applications in production, & Finally, how to auto-scale the application in terms of Replica set and deployments.