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Key Features



About The Program

Kubernetes certification training helps you master the container orchestration tool. As part of the training you will learn detailed Kubernetes, architecture of Kubernetes, what are Kubernetes Pods, node, how to deploy Kubernetes, creating a Kubernetes cluster, various services available and simplicity of container orchestration using Kubernetes.

In this online certification program, you will learn:

  • Basics of Kubernetes container orchestration
  • Installation and configuration of Kubernetes cluster
  • Deploying apps on the cluster and scaling it
  • What are Pods, Services and Volumes in Kubernetes
  • Scheduling the applications on the container
  • Auditing and troubleshooting Kubernetes cluster
  • Kubernetes security best practices
This Cloud Architect Certification program includes real-world, industry-based projects on different domains to help you master the concepts of cloud architecture. Sample projects include:

Project 1: Setting up WordPress blog for your organization using defined specifications with Amazon Cloudformation, AMI and Auto scaling

Scenario: You have been asked to set up a WordPress blog for your company to meet their defined specifications. During business hours (9 a.m.-6 p.m.), the blogging team would like to use their own development copy of the WordPress instance so that any changes don’t impact the live copy. Goals of the project: Use CloudFormation to create an EC2 instance to run WordPress with the following specification:
  • Instance Type: T2.micro
  • Create a new AMI of the WordPress instance
  • Configure Auto Scaling to launch a new WordPress instance

Project 2:  Linux instance for testing new applications using EC2

Scenario: Your development team needs you to create a small Linux instance for testing a new application. You must create the EC2 instance per defined specifications. A few days later, the development team informs you that they want to move the instance into production, so they want you to change the specifications of the instance. Goals of the project: Create an EC2 instance with the following specifications:
  • AMI: Amazon Linux
  • Instance Type: T2.nano
  • Volume Type: 8GB Magnetic
Reconfigure the instance to achieve the following specification:
  • Instance Type: Scale to a T2.small
  • Volume Type: Increase to 12GB General Purpose SSD
  • Verify whether the root volume on the EC2 instance is displaying the correct size.

Project 3: Content Distribution using S3, Cloudfront, Geo restriction and logging

Scenario: Your company wants to distribute content in the form of a website to their global offices. However, due to legal restrictions, you cannot distribute the content in France and Australia. You must find a way to prevent these offices from accessing the data. The content does not change very often; however, some of the files are very large, and you must find a solution to minimize end user latency. The last requirement is that the audit department wants to track those who access the website. Goals of the project:
  • Set up a static website using Amazon S3.
  • Create a bucket and enable static website hosting.
  • Enable logging.
  • Set up a CloudFront distribution for the static website with Access Logs enabled.
  • Set up Geo Restrictions to prevent users in France and Australia from accessing the data.
  • Verify that logging is working.

Project 4: Hosting Web Applications and Performance Monitoring

Scenario: The OsCrop Corporation wants to build a highly available web application. As it lacks the team to manage the environment, it is exploring the option of Azure PaaS (Web Apps) for its web hosting. The user pattern for this application is sporadic in nature; it can expect a spike in traffic at any moment. OsCrop’s management is looking to utilize Azure Auto Scaling capabilities.

OsCrop’s management is also looking to have a proper monitoring mechanism to keep an eye on the details of application performance. To achieve this, the team has been tasked to integrate application insights as well.

Goals of the Project: 

  • Create Azure Web Apps in US East regions
  • Enable Autoscaling for web apps
  • Deploy sample application from Visual Studio with application insights enabled
  • Set monitoring on Azure application insight

Project 5: Provision Dev Environment & Secure Azure Web Applications

Scenario:  The Oscrop Corporation’s management is looking to use Azure as their development platform for the new.Net MVC application they are building. They have identified Visual Studio 2017 as their development framework. They are looking to test Azure Virtual machine to host the development editor. You have been given the task of validating the Community edition of Visual Studio 2017 on Azure VM. As Oscrop’s development team is in Eastern US, they are exploring this as the region for this deployment.

The operations team at Oscrop is looking to offload the application's authentication to Azure AD. Any user who is part of an Active directory should be allowed to log in to the application. They want you to validate this using a sample MVC application.

Goals of the Project:

  • Create a Virtual Network and Resource Container
  • Create the Development Virtual machine
  • Configure the Virtual machine for development
  • Create Azure AD for application authentication

Project 6:  Create two Amazon S3 Buckets

Scenario: Create two Amazon S3 Buckets in Mumbai region. Bucket Names will be “testoct28” and “testoct28log”. After creating both the buckets, upload any sample file to the bucket “testoct28”. Then enable Logging in for the bucket “testoct28”. Ensure that log is saved in the bucket name “testoct28log”; also enable the versioning in the bucket “testoct28”. Then Enable the Transfer Acceleration in the Bucket “testoct28”.

Goals of the Project:

  • Create an Amazon S3 Bucket Name "testoct28" in Mumbai Region
  • Create an Amazon S3 Bucket Name "testoct28log" in Mumbai Region
  • Upload sample file to testoct28 bucket
  • Enable Logging in for bucket "testoct28"
  • The log should be saved in bucket "testoct28log"
  • Enable Versioning in the bucket "testoct28"
  • Enable Transfer Acceleration in bucket "testoct28"

Programming Languages,Tools & Packages

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Kubernetes Course Modules

Kubernetes is an open-source container-orchestration system for automating computer application deployment, scaling, and management. It was originally designed by Google and is now maintained by the Cloud Native Computing Foundation.

  • What is Kubernetes?
  • History of Kubernetes.
  • Misconceptions, Opportunities, Trends, and Demand and Future of Kubernetes.
  • Kubernetes and its trends with demand in the market.
  • All tools, services, modules overview, and high-level discussion.
  • Tools end-to-end work-flow and integrations.
  • Roles and responsibilities in real-time and its goals.
  • What are the goals of this resource in real-time?
  • Who can learn Kubernetes?
  • Prerequisites for learning Kubernetes.
  • Importance of Kubernetes in the software development life cycle (SDLC).
  • What is Kubernetes? History of Kubernetes
  • - Kubernetes Architecture & Building Blocks
  • - Docker Vs Kubernetes (Complementary technologies)
  • - Application deployment challenges. Why Container Orchestration tools?
  • - Kubernetes as Data Centre OS
  • Job oriented: Hands-On preparation
    • Use case - Google Challenges & Experiences of running billions of containers
    • - Container Orchestration Capabilities in real-time: Autoscaling, Zero Downtime Release, Rollback, Self-healing, Rolling Updates ..etc.
Kubernetes Production Installation & Services Deep dive

Concepts & Practicals

  • Installing Kubernetes using Kubeadm
  • Production Kubernetes cluster setup with multiple nodes
  • Kubernetes Services, Deep-dive
  • Master/Controle Plane Server
  • Worker Nodes
  • Kube-API Server
  • Kube-Controller
  • Kube-Scheduler,
  • Cluster-Store/etcd DB
  • Kubelet
  • Kube-Proxy
  • Kubectl, Container runtime

Job oriented: Hands-On preparation

  • Setting up 2-node Kubernetes cluster in Google cloud platform
  • Kubernetes cluster management practices

Concepts & Practicals
  • Monolithic Vs Microservice Architecture
  • Development, Build, Deployment & stability challenges in Monolith
  • From Monolith to Microservices - Project ideation

The Docker & Kubernetes role in Microservices

Job oriented: Hands-On preparation
  • Monolithic Vs Microservice Architecture
  • Development, Build, Deployment & stability challenges in Monolith
  • From Monolith to Microservices - Project ideation

Concepts & practicals
  • - What is POD. POD Vs Container
  • - Single & Multi Container PODs & Use cases
  • - POD - Horizontal scaling
  • - Creating Pods - Writing Yaml files
  • - Deploying Pods & to Run the application on Kubernetes
  • - Pod life-cycle management commands

Job oriented: Hands-On preparation
  • Project:1 - Create 10 pods in Kubernetes cluster and run Nginx application
  • Project:2 - Create 10 pods in Kubernetes cluster and run GamutKart web application

Concepts & practicals
  • - Application Autoscaling, Self-healing, Rollbacks & Rolling Updates with Zero downtime
  • - Kubernetes declarative Model - Desired state & Current state
  • - ReplicaSet objects and create Deployment object - Writing Yaml files
  • - Kubernetes deployment management commands
  • - Inspecting PODs and application instances

Job oriented: Hands-On preparation
  • Project:1 - Implement Self-healing & Auto-scaling for Nginx application
  • Project:2 - Implement Self-healing & Auto-scaling for GamutKart web application
Concepts & practicals
  • - Create a Service object that exposes an external IP address - Writing Yaml files
  • - Google Cloud basics. Creating compute instances in Google Cloud Platform (GCP)
  • - Setting up Firewall rules and ports
  • - Setting up NodePort Load balancer

Job oriented: Hands-On preparation
  • Project:1 - Create 10 POD instances, Setup the Load-balancer for Nginx application & make it accessible by the end-user.
  • Project:2 - Create 10 POD instances, Setup the Load-balancer for GamutKart web application & make it accessible by the end-user.


Earn your Kubernetes certificate

Our Kubernetes program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Differentiate yourself with a Kubernetes Certificate

The knowledge and Kubernetes skills you've gained working on projects, simulations, case studies will set you ahead of the competition.

Share your achievement

Talk about it on Linkedin, Twitter, Facebook, boost your resume, or frame it - tell your friends and colleagues about it.

Data Scientist

DeepNeuron Testimonials


  • What is the objective of our Kubernetes Regular Certification?

    The objective of the CKA training is to provide extensive coverage on the design and deployment of containers and orchestral tools for applications with special references to Kubernetes container orchestration tools. With Deepneuron Certified Kubernetes Administrator course, we ensure hands-on practical experience on creating containers files for Kubernetes which will help you to master Kubernetes with confidence.

  • Why should I learn Kubernetes from Deepneuron?

    Deepneuron Kubernetes certification is for freshers, experienced individuals who are ready to dive for a real-time case study based industry-specific carriculum specialized curated from professional subject matter experts (SMEs). At Deepneuron, you will explore live projects based on conceptual learnings with details explanations for each and every module for upscaling your current career statistics with advancement.

  • What can I expect after the Kubernetes Course accomplishment?

    After the completion of the Kubernetes online course, you will gain expert knowledge in Kubernetes and will be a proficient player to tap Kubernetes tools at a depth level. Moreover, you will be part of the Deepneuron community to leverage the knowledge-base shared by the members around the globe. You will also earn an industry-recognized Kubernetes certification from Deepneuron.

  • Does Deepneuron offer job assistance?

    Deepneuron actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

  • Is it possible to switch from self-paced training to instructor-led training?

    You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

  • Does the job assistance program guarantee me a Job?

    Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

  • *For which all courses will I get certificates from IBM?

    Following are the list of courses for which you will get IBM certificates:

    • R Programming for Data Science
    • Python for Data Science

  • How do I earn the Master’s certificate?

    Upon completion of the following minimum requirements, you will be eligible to receive the Data Scientist Master’s certificate that will testify to your skills as an expert in Data Science.


    Course completion certificate

    Data Science and Statistics Fundamentals Required 85% of Online Self-paced completion
    Data Science with R Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation in at least 1 project
    Data Science with SAS Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation in at least 1 project
    Data Science with Python Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in course-end assessment and successful evaluation in at least 1 project
    Machine Learning and Tableau Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and successful evaluation in at least 1 project
    Big Data Hadoop and Spark Developer Required 85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 75% in the course-end assessment, and successful evaluation of at least 1 project
    Capstone Project Required Attendance of 1 Live Virtual Classroom and successful completion of the capstone project

  • How do I enroll for the Data Scientist course?

    You can enroll in this Data Science training on our website and make an online payment using any of the following options:

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

    Once payment is received you will automatically receive a payment receipt and access information via email.

  • If I need to cancel my enrollment, can I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy.

  • I am not able to access the online Data Science courses. Who can help me?

    Yes, we do offer a money-back guarantee for many of our training programs. Refer to our Refund Policy and submit refund requests via our Help and Support. portal.

  • Who are the instructors and how are they selected?

    All of our highly qualified Data Science trainers are industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your course with us.

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