Docker Fundamentals Certified (DFC)

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Abhishek Gupta

Abhishek Gupta


CSU Partnered Courses

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  • Containers are a solution to the problem of how to get software to run reliably when moved from one computing environment to another.
  • From Gmail to YouTube to Search, everything at Google runs in containers. Containerization allows our development teams to move fast, deploy software efficiently, and operate at an unprecedented scale.
  • If you are looking for Reproducibility, Isolation, Security, Environment Management and Continuous Integration, all offered by a single technology, then Docker Containers are you!!!
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1,000+ learners from
75+ Companies
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lmmersive program with
group activities
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Curriculum by expert with
years of experience

Training Includes:

  • Trainer led in-person class
  • Training material
  • Supplementary material
  • Tips for successful Agile Career / Business
  • Chicago State University(CSU) Certification
April 20-21 2019 | 8:30 AM - 5:00 PM | Dallas, TX | Comfort Suites Lewisville DFW Area
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Course Details

The Docker training program leverages the pedagogical approach of learning by doing with extensive hands-on labs, enterprise-focused scenarios, and practical examples. Docker training courses are designed so that learners are exposed to the latest product releases and current best practices informed by Docker’s extensive field experience.

The Docker classroom training program that is unique and one-of-a-kind training focusing on both the areas of “concepts” and “application” of Docker Containers.

This is a highly interactive workshop that makes ample use of discussions and exercises to help participants hone essential implementation skills. The course explores real world scenarios/situations and challenges, and help you devise powerful solutions to them.

Some of the elements participants will learn during the workshop:

  1. Introducing Docker
  2. Containerization Fundamentals
  3. Creating Images
  4. Docker Volumes
  5. Docker Networking Basics
  6. Introduction to Docker Compose
  7. Introduction to Swarm Mode
  8. Introduction to Kubernetes
  9. Secrets

By the end of the course successful learners will be able to:

  • Assess the advantages of a containerized software development & deployment
  • Use Docker engine features necessary for running containerized applications
  • Utilize Swarm and Kubernetes orchestrators to deploy, maintain, and scale a distributed application
  1. Introducing Docker
  2. Containerization Fundamentals
  3. Creating Images
  4. Docker Volumes
  5. Docker Networking Basics
  6. Introduction to Docker Compose
  7. Introduction to Swarm Mode
  8. Introduction to Kubernetes
  9. Secrets
  10. Fundamentals Signature Assignment

This course is designed for:

  • Developers, operators, and architects desiring a strong foundation in Docker technologies and an introductory hands-on experience building, shipping, and running Docker containers.
  • You could be a web developer, sysadmin, operations manager, or part of an IT / testing / QA team.
  • No prior Docker knowledge is necessary to start.


Chapter 1: Orchestration

  • Complete the setup of a swarm mode cluster, with managers and worker nodes
  • State the differences between running a container vs running a service
  • Demonstrate steps to lock a swarm cluster
  • Extend the instructions to run individual containers into running services under swarm
  • Interpret the output of “docker inspect” commands
  • Convert an application deployment into a stack file using a YAML compose file with “docker stack deploy”
  • Manipulate a running stack of services
  • Increase # of replicas, Add networks, publish ports and Mount volumes
  • Illustrate running a replicated vs global service
  • Identify the steps needed to troubleshoot a service not deploying
  • Apply node labels to demonstrate placement of tasks
  • Sketch how a Dockerized application communicates with legacy systems
  • Paraphrase the importance of quorum in a swarm cluster
  • Demonstrate the usage of templates with “docker service create”

Chapter 2: Image Creation, Management, and Registry

  • Describe Dockerfile options [add, copy, volumes, expose, entrypoint, etc)
  • Show the main parts of a Dockerfile
  • Give examples on how to create an efficient image via a Dockerfile
  • Use CLI commands such as list, delete, prune, rmi, etc to manage images
  • Inspect images and report specific attributes using filter and format
  • Demonstrate tagging an image
  • Utilize a registry to store an image
  • Display layers of a Docker image
  • Apply a file to create a Docker image
  • Modify an image to a single layer
  • Describe how image layers work
  • Deploy a registry (not architect)
  • Configure a registry
  • Log into a registry
  • Utilize search in a registry
  • Tag an image
  • Push an image to a registry
  • Sign an image in a registry
  • Pull an image from a registry
  • Describe how image deletion works
  • Delete an image from a registry

Chapter 3: Installation and Configuration

  • Demonstrate the ability to upgrade the Docker engine
  • Complete setup of repo, select a storage driver, and complete installation of Docker engine on multiple platforms
  • Configure logging drivers (splunk, journald, etc)
  • Setup swarm, configure managers, add nodes, and setup backup schedule
  • Create and manager user and teams
  • Interpret errors to troubleshoot installation issues without assistance
  • Outline the sizing requirements prior to installation
  • Understand namespaces, cgroups, and configuration of certificates
  • Use certificate-based client-server authentication to ensure a Docker daemon has the rights to access images on a registry
  • Consistently repeat steps to deploy Docker engine, UCP, and DTR on AWS and on premises in an HA config
  • Complete configuration of backups for UCP and DTR
  • Configure the Docker daemon to start on boot

Chapter 4: Networking

  • Create a Docker bridge network for a developer to use for their containers
  • Troubleshoot container and engine logs to understand a connectivity issue between containers
  • Publish a port so that an application is accessible externally
  • Identify which IP and port a container is externally accessible on
  • Describe the different types and use cases for the built-in network drivers
  • Understand the Container Network Model and how it interfaces with the Docker engine and network and IPAM drivers
  • Configure Docker to use external DNS
  • Use Docker to load balance HTTP/HTTPs traffic to an application (Configure L7 load balancing with Docker EE)
  • Understand and describe the types of traffic that flow between the Docker engine, registry, and UCP controllers
  • Deploy a service on a Docker overlay network
  • Describe the difference between “host” and “ingress” port publishing mode

Chapter 5: Security

  • Describe the process of signing an image
  • Demonstrate that an image passes a security scan
  • Enable Docker Content Trust
  • Configure RBAC in UCP
  • Integrate UCP with LDAP/AD
  • Demonstrate creation of UCP client bundles
  • Describe default engine security
  • Describe swarm default security
  • Describe MTLS
  • Identity roles
  • Describe the difference between UCP workers and managers
  • Describe process to use external certificates with UCP and DTR


Upon completion of this program, participants will be awarded Docker Fundamentals Certified (DFC) certificate from Chicago State University (CSU).

Course Features

Expert Faculty
Real-life Scenarios
Group Activities
Unique Course Material
Supplementary Material

Continued Education Units (CEUs)

Not Applicable.
Not Applicable.
Not Applicable.
Not Applicable.



About Trainer

Abhishek Gupta
Abhishek Gupta


Abhishek Gupta is an experienced professional with 10 years in Information Technology in variety of roles such as design, architecture, coding, deployment and release management. His passion is to work with teams enabling them to adopt mindset of Continuous Integration & Continuous Delivery (CI/CD), and also coaching teams to mature their deployment capabilities. He provides training in multiple aspects of DevOps like Testing Automation, Build & Release Pipelines, Docker Containers, Kubernetes Orchestration Engine, Infrastructure as Code, Cloud Migrations, etc.