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About The Program



Docker Certification Training course gives you a solid foundation for the official Docker Certified Associate exam. The Docker training program is designed from the ground up to teach new learners about the intricacies of the Docker containerization technology. The Docker Certification course starts with the fundamentals of Docker and works up to more advanced topics such as Docker Compose, Docker Swarm, handling Network and security, working with UCP (Universal Control Panel) and DTR (Docker Trusted Registry) in Docker Enterprise. Additionally, this Docker training course also introduces you to different storage strategies such as Volumes, Bind Mounts, and tmpfs mount, which will further help you optimize your containerized application’s execution. You will learn to use Docker Registry to manage and keep track of your custom Docker images, and finally, learn the basics of Kubernetes Container Orchestration tool with the Docker engine.

Upon completion of the course, you will be able to:

  • Understand the fundamentals of Containerization
  • Set up the Docker Engine
  • Deploy a Docker Container
  • Manage Docker Containers
  • Configure Logging Drivers
  • Create Docker images using a Dockerfile
  • Store and share Docker images using Registry
  • Utilize various storage strategies
  • Compose multi-container applications
  • Deploy a Swarm cluster
  • Configure network drivers
  • Secure the Docker Daemon
  • Set up Docker Enterprise (Docker EE)
  • Configure UCP and DTR for Docker EE
  • Deploy Kubernetes Pods and Deployments
  • Use Kubernetes Services for application discovery
  • Use Persistent Volumes for storage

Docker revolutionized the IT industry with the introduction of its Portable Lightweight Container Engine. More than 30% of the organizations in the IT industry have already adopted Docker, and the adoption rate is increasing by 40% every year. Docker has almost single-handedly eliminated the need for anybody to say “It worked on my machine!” by offering parity across environments. If it works in Development, it will work in Production as well. The simplicity by which Docker deploys and manages containerized applications is unparalleled. Considering that over 80% of the containerized industry uses Docker as their main container platform, it should be enough for anyone to dig their hands in this technology.

This course is specifically designed for:

  • Professionals aspiring to clear the Docker Certified Associate exam
  • Professionals keen on advancing their career as DevOps Engineers
  • Individuals looking to establish their credibility and value in the market as experienced Docker practitioners
  • Principal Software Engineers
  • Cloud Professionals
  • Software Developers
  • Site Reliability Engineers
  • Technical Leads

The pre-requisites for this course include: Good Knowledge and Hands-on experience with Linux. You don’t need to be a wizard at the command line, but you should be familiar with how to open your favorite shell or terminal, and run basic commands in that environment. To refresh your skills, you will get the "Linux Fundamentals for Docker" Self-paced modules as pre-requisites in your LMS when you enroll in Docker Certified Associate Training.

Programming Languages,Tools & Packages

 
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Docker Course Modules


Docker is a set of platform as a service products that use OS-level virtualization to deliver software in packages called containers. Containers are isolated from one another and bundle their own software, libraries and configuration files; they can communicate with each other through well-defined channels.

Learning Objective: In this Docker Training module you will understand the origins and the need for containerization in modern applications. Learn how Docker emerged as one of the best container platforms in the industry and about the technology behind it.

Topics:
  • Containerization
  • History of Containers
  • Namespaces and Cgroups
  • Containers vs Virtual Machines
  • Types of Containers
  • Introduction to Docker
  • Docker Architecture
  • Container Lifecycle
  • Docker CE vs Docker EE

Learning Objective: Setup the Docker Engine on Google Compute Engine Instance and perform various operations on Containers. Configure logging drivers, bind container ports, and write restart policy for containers.

Topics:
  • Docker Engine
  • Configuring Logging Drivers
  • Docker Terminology
  • Port Binding
  • Detached vs Foreground Mode
  • Docker CLI
  • Docker Exec
  • Restart Policy
Hands-On:

  • Setting up Docker Engine
  • Upgrading Docker Engine
  • Setting up logging drivers in Docker
  • Port Binding
  • Starting Containers in different modes
  • Docker CLI Commands
  • Docker Exec Commands
  • Restart Policy in Docker
  • Removing Containers
Learning Objective:

Learn how to write a Dockerfile and create custom images by building the Dockerfile. Create and manage remote registry to store your custom images.

Topics:
  • Dockerfile
  • Dockerfile Instructions
  • Build Context
  • Docker Image
  • Docker Registry
Hands-On:
  • Write a Dockerfile to create an Image
  • Docker Image Tags
  • Setting up Docker Hub
  • Configuring Local Registry
  • Removing Images from the Registry
Learning Objective:

Create persistent storage solutions for stateful containerized applications. Utilize different methods for storing container data and perform image cleanup for optimization.

Topics:
  • Docker Storage
  • Types of Persistent Storage
  • Volumes
  • Bind Mounts
  • tmpfs Mount
  • Storage Drivers
  • Device Mapper
  • Docker Clean Up
Hands-On:
  • Deploy Docker Volumes
  • Deploy Bind Mounts
  • Use tmpfs mounts
  • Configure Device Mapper
  • Docker Clean Up
  • Chapter-1: Jenkins & CI/CD Process Overview
  • Chapter-2: Getting started with Jenkins (Installation & Production Set-up)
  • Chapter-3: Jenkins Administration
  • Chapter-4: Jenkins Pipelines - Deep dive & advanced concepts
  • Chapter-5: Jenkins Plugins & CLI
  • Chapter-6: Distributed Builds & Master/Slave concept
  • Chapter-1: Introduction to Containerization & Docker
  • Chapter-2: Docker Installation in Production
  • Chapter-3: Getting started with Docker containers
  • Chapter-4: Container management commands
  • Chapter-5: Allocating Memory, CPU & Disk space to containers
  • Chapter-6: Docker Volumes - Persistent Data
  • Chapter-1: Docker images - Deep dive - Project - Application containerization
  • Chapter-2: Jenkins CI/CD Pipeline, Continous Deployments With Docker
  • Chapter-3: Projects - 2
  • Chapter-1: Introduction to Kubernetes & Architecture & Orchestration
  • Chapter-2: Kubernetes Production Installation & Services Deep dive
  • Chapter-3: Working with Microservices & Kubernetes Role
  • Chapter-4: PODs Management, Running Application on multi PODs cluster
  • Chapter-5: Kubernetes Deployments - Advanced Concepts
  • Chapter-6: Kubernetes Services & Load balancing - Publishing application to outside world

GET AHEAD WITH DEEPNEURON DOCKER CERTIFICATE

Earn your Docker certificate

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

Differentiate yourself with a Docker Certificate

The knowledge and Azure 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


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FAQs

  • What is Docker and why is it used?

    Docker is one of the most important and widely used tools in the DevOps pipeline. It makes creating, deploying, and running applications easier by using containers.

  • What are the career opportunities for Docker Certified Associates?

    After learning Docker, you can shift to a career in DevOps. Docker is one of the fundamental tools in the DevOps pipeline. Job roles suitable for individuals with Docker certification are:

    • DevOps engineer
    • DevOps consultant
    • Release manager
    • DevOps architect
  • Can I request for a support session if I need to better understand the topics?

    Deepneuron is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers. You would be glad to know that you can contact Deepneuron support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.

  • 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

    Course completion certificate

    Criteria
    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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