Docker with Kubernetes Online Training & Certification

Docker with Kubernetes Online Training & Certification

The objective of this course is to make the participants trained on Docker and Kubernetes. After the training the participants will have good knowledge and hands on docker and Kubernetes. The participants can also appear for CKA exam. The course will have detailed hands-on lab for every topic with real life case studies and implementation best practices.

Docker with Kubernetes Online Training

₹8500/-₹20,000/-

  • START DATE- 13 April 2020
  • END DATE- 22 April 2020
  • Timing- 8PM to 11PM
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Course Highlights

Instructor-led Sessions

30 Hours of Online Live Instructor-Led Classes. 10 Days, Daily 3 hours class.

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the various Dockers And Kubernetes concepts.

Certification

Sucessfully complete your final course project and CertoMeter will certify you as a Dockers And Kubernetes Engineer.

Assignments

Each class will be followed by practical
assignments.

Curriculum Designed By Experts

Our courseware is always current and updated with the latest tech advancements. Stay globally relevant and empower yourself with the latest tools and training.

Learn Through Doing

Learn theory backed by practical case studies, exercises and coding practice. Get skills and knowledge that can be effectively applied in the real world.

Course Outlines – Day Wise Schedule

Day 1 (3hours)

  • Introduction to Docker
  • Container Vs Virtual Machines
  • Docker Architecture
  • The Docker Hub
  • Docker Installation

Day 2 (3hours)

  • Creating First Image
  • Working with Multiple Images
  • Packaging a customized container
  • Running container commands
  • Container Port Redirect
  • Container Snapshots
  • Attach to a Running Container
  • Removing Images

Day 3 (3hours)

  • Dockerfile
  • Pushing Images to Docker Hub
  • Adding External Content
  • Image Volume Management
  • Creating Docker Registry (Private)

Day 4 (3hours)

  • Advance Docker Networking
  • Docker Logging
  • Docker Compose
  • Configuring compose
  • Create a php application with mysql
  • Create a php application with mysql without Compose

Day 6 (3hours)

  • Understand Deployments and how to perform rolling updates and rollbacks.
  • Know various ways to configure applications.
  • Know how to scale applications.
  • Understand the primitives necessary to create a self-healing application.
  • Use label selectors to schedule Pods.
  • Understand the role of DaemonSets.
  • Understand how resource limits can affect Pod scheduling.

Day 7 (3hours)

  • Manually schedule a pod without a scheduler. Display scheduler events.
  • Know how to configure the Kubernetes scheduler.
  • Understand the networking configuration on the cluster nodes.
  • Understand Pod networking concepts.
  • Understand service networking.
  • Deploy and configure network load balancer.
  • Know how to use Ingress rules. Know how to configure and use the cluster DNS.
  • Understand CNI.(flannel and calico)

Day 8 (3hours)

  • Advanced Topics
  • Understand persistent volumes and know how to create them.
  • Understand access modes for volumes.
  • Understand persistent volume claims primitive.
  • Understand Kubernetes storage objects.
  • Know how to configure applications with persistent storage.
  • Know how to configure authentication and authorization.

Day 9 (3hours)

  • Understand Kubernetes security primitives.
  • Work with images securely.
  • Define security contexts.
  • Secure persistent key value store.
  • Work with role-based access control.

Day 10 (3hours)

  • Helm charts - Overview
  • Understand how to monitor all cluster components.
  • Understand how to monitor applications.
  • Manage cluster component logs. Manage application logs

Labs

  • Raw Kubernetes Install
  • Run a Job
  • Deploy Pod
  • Deployments
  • Setting Container Environment Variables
  • Scaling Application
  • Replication Controllers, Replica Sets, and Deployments
  • Labels a Node and Schedule a Pod
  • Raise A Daemonsets
  • Managing the Logs
  • Cluster DNS and Service Discovery
  • CNI interface
  • Work with persistent volumes

FAQ's

Why is the course relevant?

This training is designed to help you become an expert in the Docker and Kubernetes technology. You will start from scratch and learn about the basic fundamentals. You will learn about Dockers and containers, installing and working with Docker Components, about Kubernetes, installing and working with Kubernetes components and more with case Studies and hands-on practicals.In the present market, an engineer proficient with Docker and Kubernetes can earn an average salary of . This is the right time to invest in learning Docker and Kubernetes since organizations are rapidly moving towards containerization technology and there is a huge demand for Docker and Kubernetes engineers.

You will:
  • Install and configure Docker and Kubernetes
  • Work with Pulling and Pushing images, learn how to build your own images and perform Autobuild using Docker Hub 
  • Learn how to create Docker Volumes and how to create Docker Networks 
  • Deploy applications and work with Services , labels and Replica sets

Basics of Virtualization, Linux , Network and use of using Remote access tools is essential for this training.

Yes, Certometer Offers this course in Online-LIVE learning format.

In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.

Minimum Requirements: MAC OS or Windows with 8 GB RAM and i3 processor