Docker with kubernetes Training in Montreal, Canada

Be industry-ready by building, testing, and deploying Docker applications with Kubernetes

  • Comprehensive hands-on with Dockers & Kubernetes Components
  • Covers Docker & Kubernetes Architecture & Components and installation
  • Get introduced to deploy stateful and stateless apps on the cluster
  • Learn how to expose the app outside the cluster and to autoscale apps
  • Expertise learning with use cases of Containers and Docker
Group Discount

Why learn Docker with Kubernetes?

Docker and Kubernetes are household names in the world of software development and deployment. Docker offers container platforms and the two words Docker and Containers have almost become synonymous lately. Containers have revolutionized software deployment by being lightweight and working very similar to virtual machines minus the OS to make the software run. They have made it possible to build portable and secure apps in an agile manner where companies get to save plenty in terms of costs and infrastructure. Dockers being used by tech giants such as Microsoft and Google will continue to remain in trend.

While it’s easy to orchestrate a handful of containers and applications at once, the challenge grows exponentially when the numbers reach hundreds or thousands. This is where Kubernetes and container orchestration comes in place to help in management, automation, and scaling of applications that are containerized. Although from a general perspective Docker and Kubernetes appear similar, they operate at different layers and can also be used together. They can be thought of as analogous to an airport. If containers are aircraft, Kubernetes is the air traffic control.


It’s important to understand that Docker and Kubernetes are not an either-or choice. It’s ideal to think of them as two significant components of a bigger system. Learning them together has numerous benefits.

Professionals who are already working on one will gain a significant edge knowing both Docker and Kubernetes.

  • You can build a career as a DevOps Engineer, freelance Docker specialist and more.
  • Gives a significant boost to your market value as a professional in DevOps.
  • Will provide you up-to-date tools and strategies that will serve to guide and direct you in the execution of the projects.
  • You have an earning potential of 117K or greater according to PayScale.com.

Both Docker and Kubernetes benefit the organizations in the following ways:

  • Great savings in terms of cost and architecture without the use of additional resources.
  • Versatile tools to develop in a cloud environment.
  • Deliver results faster and in a consistent and predictable manner.
  • Docker allows packing the software with all the dependencies and Kubernetes helps to deploy and orchestrate containers.

Docker has continued to be at the forefront of Container technology and it has helped Kubernetes establish itself as go-to container orchestration engine. With Docker helping make containers easier to use, the growth of Kubernetes has been fuelled. According to the survey conducted by Datadog, at the beginning of April 2018, 23.4 percent of its customers had adopted Docker.

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What you will learn

Prerequisites

There are no prerequisites for attending this course. But it would be beneficial for you to have the following knowledge:

  • Virtualization
  • Linux & Networking Fundamentals
  • Experience with installing and configuring applications

Who Should Attend

  • Software Developers
  • IT Professionals & Architects
  • Operational Engineers

Knowledgehut Experience

Instructor-led Live Classroom

Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.

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.

Mentored by Industry Leaders

Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.

Advance from the Basics

Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.

Code Reviews by Professionals

Get reviews and feedback on your final projects from professional developers.

Curriculum

Learning Objectives: 

This module provides an introduction to containers and the benefits of using containers as opposed to VMs. You will learn use cases of Containers and Docker, and be able to describe Docker architecture and its components.

Sub-Topics:

  • Evolution of Dockers & Containers
  • Differences between VM's and Containers
  • Docker Use Cases
  • Benefits of using Containers
  • Working with Docker Commands
  • Case Study

Hands-on workshop description:

Learn various Docker Commands for creating, stopping, removing and copying containers.


Learning Objectives: 

In this module, you will explore the prerequisites for installing Dockers. Learn to install & configure Docker toolbox on Windows OS, and install & configure Docker on Amazon EC2. Validate the Docker installation. Get deeper into Docker Architecture and components.

Sub-Topics:
  • Installing & Configuring Docker toolbox on Windows
  • Installing & configuring Docker in Amazon Linux EC2

Hands-on workshop description:

Installing & Configuring Dockers.

Learning Objectives: 

Create images by starting a container using a base image and interactively make changes to it, create a Docker file that will let Docker build the image automatically.Learn to create and work with Docker Volumes.Understand the three types of Docker Network – Local, Host and Bridge.

Sub-Topics:

  • Images & Layers
  • Container Layers
  • Working with Docker Images
  • Building own Images using Dockerfile
  • Working with Docker Volumes and Docker Networking 
  • Case Study

Hands-on workshop description:

Pulling and pushing images. Creating own images using Dockerfile and push to Docker Hub, Creating Automated Build using Docker Hub, Creating Docker Volumes and copying the data , Creating Bridge Network for container communication.

Learning Objectives: 

Learn to create Public and Private Repositories using Docker Hub. You will also be able to share your image using Docker Hub, deploy your own Docker images registry and set up your own automated build.

Sub-Topics:
  • Overview of Registries- Public and Private
  • Deep Dive into Docker Hub 
  • Other Public & Private Registries
  • Case Study

Hands-on workshop description: 

  • Creating Public and Private Repositories using Docker Hub
  • Share your image using Docker Hub 
  • Deploy your own Docker images registry
  • Set up your own automated build
  • Creating Organizations and teams in Docker Hub

Learning Objectives: 

Get an overview of Docker Compose & Swarm. Learn to build High Availability Structures needed for critical applications, and understand how to filter and schedule nodes for optimal deployment

Sub-Topics:
  • Overview of Docker Compose
  • Defining and running multi-container applications
  • Overview of Docker Swarm
  • Build your own Docker Swarm Cluster
  • Filtering & Scheduling Containers
  • Case Study

Hands-On Workshop Description:

  • Building multi-container applications using Docker Compose. 
  • Creating Swarm cluster and adding the worker nodes.  
  • Creating Services and scheduling nodes for optimal deployment

Learning Objectives: 

Learn what / why Kubernetes is required and study Kubernetes Use Cases. 

Sub Topics:

  • Evolution of Kubernetes
  • What is Kubernetes
  • Kubernetes Use Cases
  • Differences between Kubernetes and Docker Swarm

Hands-on workshop description: No Hands-On

Learning Objectives:

Understand the key components of Kubernetes Cluster- Master, Nodes and AddOns.

Sub Topics: 

  • Understand Kubernetes Architecture
  • Introduction to Kubernetes Master
  • Components of Kubernetes Master
  • Introduction to Node Components 

Hands-on workshop description: No Hands-On

Learning Objectives:

Gain knowledge on installing & Kubernetes Cluster on Virtualbox, AWS Cloud and Google Cloud Platforms.

Sub Topics:

  • Installing & Configuring Kubernetes locally via Minikube
  • Creating Kubernetes Cluster in Google Cloud
  • Creating Kubernetes Cluster in AWS Cloud
  • Case Study

Hands-on workshop description: 

  • Creating 2 VM's in Virtual Box
  • Download kubectl and minikube and install them
  • Start Minikube & Deploy sample deployment and expose to and external network, 
  • List all the nodes of the clusters
  • Stopping and deleting the cluster
  • Working with Kubernetes Dashboard

Learning Objectives: 

Here you will understand about Pods and how to deploy an app using kubectl commands.

Sub Topics:

  • Introduction to Pods
  • Pods Lifecycle
  • Working with Pods to manage multiple containers
  • Deploying Pods via Replication Controllers
  • Case Study

Hands-on workshop description: 

  • Deploy containerized application image in minikube
  • Viewing Pods and Nodes

Learning Objectives: 

This module helps you to learn what is a Service, how to scale up and down the application replicas, provide updates to the application and autoscaling containers.

Sub Topics:

  • Overview of Services
  • Labels and Selectors
  • Scale out deployment using Replicas
  • Horizontal Pod Autoscaling
  • Load Balancing
  • Rolling Updates
  • Case Study

Hands-on workshop description: 

  • Creating a Service
  • Using Service to expose App
  • Working with labels 
  • Scale Up / Down the deployment to maximum and minimum replicas
  • Check the rollout status and rollback an update
  • Delete the services created

Learning Objectives:

On completing this module, you will be able to deploy both stateless applications and stateful applications.  You will also be able to scale the stateful sets and provide rolling updates.

Sub-Topics:

  • Working with StatefulSet
  • Pod Management policies
  • OnDelete & Rolling Update Strategies
  • Cluster DNS
  • Persistent Volumes

Hands-On Workshop Description:

  • Deploy Stateful and Stateless applications
  • Creating Persistent Volumes

Project

Project

Covers projects on Dockers & Kubernetes.

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Faq

The Course

This training is designed to help you become an expert in 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 with Case Studies. In the present market, an engineer proficient with Docker and Kubernetes can earn an average salary of upto $135,319. 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

By the end of this course, you would have gained knowledge on how to work with the Dockers and Kubernetes platform. 

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

Yes, KnowledgeHut offers this training online.

On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.

Your instructors are Docker and Kubernetes experts who have years of industry experience.

Finance Related

Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: https://www.knowledgehut.com/refund

KnowledgeHut offers a 100% money back guarantee if the candidate withdraws from the course right after the first session. To learn more about the 100% refund policy, visit our Refund Policy.

The Remote Experience

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

Have More Questions?

Docker with kubernetes Course in Montreal

Docker With Kubernetes training in Montreal

For all IT professionals who are looking to make a career in open source coding in Montreal, here?s a training that is catching everyone?s attention. Montreal is the largest city in the Canadian province of Quebec with a huge cultural diversity. The city, traditionally known for its art and culture, is gaining wide popularity for the tech industry. The city saw a 3.4% increase in job growth according to Montreal International making it one of the top cities in Canada and the United States. With major government investment done in the AI sector, Montreal is becoming a fast paced tech city opening doors to a host of career options for IT professionals. In these moments of tech development in the city, the Docker With Kubernetes training in Montreal by KnowledgeHut online academy helps professional stay relevant in the job market


About the Docker With Kubernetes course in Montreal

The lectures provided in the Docker With Kubernetes course in Montreal gives a comprehensive understanding of the tool and the various components involved. Availability of twenty-four hours of live session with an online trainer led coaching gives the users flexibility to take the course as per their requirement. The lectures give introduction on how to deploy stateful and stateless apps on cluster and how expose the app outside the cluster and autoscale them.


Why should you take up the Docker With Kubernetes certification course in Montreal?

The Docker With Kubernetes certification course in Montreal provided by the KnowledgeHut training institute consists of 24 hours of live sessions, 50 hours of MCQs and assignments with an additional of 20 hours of hands on practice sessions on Docker and Kubernetes. There is also availability of one on one training on request. During the period of these lectures, 3 live projects are given as part of knowledge testing and implementation which are reviewed and rated by the professional tutors who work in the industry


The KnowledgeHut advantage for the Docker With Kubernetes course in Montreal

The Docker With Kubernetes online training in Montreal provided by KnowlegeHut academy is selected, developed and mentored by various tech experts who are stalwarts in the open source coding industry. Advancing from the basics and learning through doing is the core of this course. The course also gives one an option to opt for one on one sessions on request. There is availability for a team or corporate training in case one wants to opt for.

The course is available for those who are looking to grow their career exponentially. If you are one of them, enrol for the Docker With Kubernetes online training in Montreal right away. Keyword Index: Primary Keywords in conjugation with training name Mandatory Secondary patterns Optional secondary pattern