Docker Training Courses
Docker is an open-source platform that automates the building, shipping and running of software applications inside containers.
NobleProg onsite live Docker training courses demonstrate through hands-on practice how to create and manage Docker containers, then to deploy sample applications inside a container. Docker courses cover topics such as installation, deployment, security and troubleshooting and demonstrate how to deploy Docker containers on a large scale using clustering techniques and tools such as Kubernetes and dedicated container management systems such as OpenShift.
Docker training is available in various formats, including onsite live training and live instructor-led training using an interactive, remote desktop setup. Local Docker training can be carried out live on customer premises or in NobleProg local training centers.
Continental Automtove IT
The trainer tried to make sure everybody could follow, was very flexible
Deloitte Consulting GmbH
Marcus Quintino Kuhnen - SAP SE
skill level of the trainer, good preparation of the training
Markus Korn - Continental Automtove IT
Trainer knowledge and enthusiasm
Ruben Ortega - L M Ericsson Ltd
The hands on exercises were really good. Adriano seems to have a quite broad understanding of the topic and was able to answer some questions not directly related to the course material with ease. His english was very good to understand, too.
Florian Wich - Systhemis AG
Flexibility of the trainer regarding schedule, topics, prioritisation.
Markus Korn - Continental Automotive GmbH
trainer's good subject knowledge and good explanations to questions posed by the participants
Daniel Michel - Systhemis AG
The provided infrastructure for the exercises
RGT DESARROLLO INFORMATICO S.L.
The trainer was very easy to understand and to follow.
Wojciech Czaplinski - Continental Automotive GmbH
- Very good subject knowledge
- Possibility to ask related questions. All questions have been answered and thouroughly explained with examples
- Flexible selection of topics
Deloitte Consulting GmbH
it was pretty hands-on, questions got answered in depth
Markus Matiaschek - Systhemis AG
Very good information and well presented.
That it was well structured and I managed to fill some gaps in my knowledge
Javier Caro Ruiz - RGT DESARROLLO INFORMATICO S.L.
the ambience and that the trainer didn#t leave any behind. He took care that all get the same informations and are understanding. Als bringing in exemple from the real word is a plus, the practical experience/Prod/operational experience is well valued
Gallican Nsanzimana - Brainloop AG
A lot of content explained in a simple and straightforward manner, will definitely remember many of the things taught thanks to the simple format.
The content was interesting
Leke Adeboye - CISCO
It was very well laid out with good examples and very good knowledge level from the trainer. The food and the installations were great.
Ruben Sancho - L M Ericsson Ltd
RGT DESARROLLO INFORMATICO S.L.
It is an in-deep Kubernetes training covering all important aspects to manage Kubernetes, be it in the cloud or on-premise, but the pace is gradual and well adjusted, so the training can be followed very well by students who have had no prior exposure to Kubernetes, as it builds up knowledge from the ground up.
Volker Kerkhoff - RGT DESARROLLO INFORMATICO S.L.
Hexaware Technologies Ltd
Clear, concise and to the point!
Kennis Lai - Melco Resorts & Entertainment
The presentation was quite clear, Adriano answered to all questions.
Cristian Trufasila - Oberthur Technologies
The pace and the ability to choose the topics in the most interesting order
John Howlett - die Mobiliar
The trainer knows very well the arguments and he always have the good response
Pasquale Cavaccini - Deloitte Consulting GmbH
Docker Course Outlines
|dockerkubernetesopenshift||Docker, Kubernetes and OpenShift for Administrators||35 hours||OpenShift is a container application platform for deploying Docker and Kubernetes. It provides predefined application environments and helps to realize key DevOps principles such as reduced time to market, infrastructure as code, continuous integration (CI), and continuous delivery (CD). OpenShift is maintained by Red Hat. In this instructor-led, live training, participants will learn how to manage containers running on Docker, Kubernetes, and the Red Hat OpenShift Container Platform. By the end of this training, participants will be able to: Create, configure, manage, and troubleshoot OpenShift clusters Scale application deployments using Kubernetes Secure OpenShift Platform Container Monitor and gather metrics Manage storage Quickly deploy applications on-premise, in public cloud or on a hosted cloud. Audience System administrators Architects Developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice|
|openshiftfordev||OpenShift Container Platform for Developers||21 hours||OpenShift Container Platform is a container application platform for deploying Docker and Kubernetes in the enterprise. It is maintained by Red Hat. In this instructor-led, live training, participants will learn how to create, update, and maintain applications using OpenShift Container Platform. By the end of this training, participants will be able to: Automate part of the software delivery pipeline Implement user stories for an existing Java EE application Deploy an application to an OpenShift instance Apply the principles of the DevOps philosophy and enable continuous delivery of an application Audience Developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice|
|microsvcspringdocker||Building Microservices with Spring Cloud and Docker||21 hours||Spring Cloud is an open-source lightweight microservices framework for building Java applications for the cloud. Docker is an open-source platform for building, shipping and running applications inside containers. Docker lends itself well to the creation of microservice applications. In this instructor-led, live training, participants will learn the fundamentals of building microservices using Spring Cloud and Docker. Participant knowledge is put to the test through exercises and the step-by-step development of sample microservices. By the end of this training, participants will be able to: Understand the fundamentals of microservices Use Docker to build containers for microservice applications Build and deploy containerized microservices using Spring Cloud and Docker Integrate microservices with discovery services and the Spring Cloud API Gateway Use Docker Compose for end-to-end integration testing Audience Java Developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice|
|dockeradm1||Docker for Developers and System Administrators||14 hours||Docker is a platform for developers and sysadmins to maintain distributed applications. It consists of a runtime to run containers and a service for sharing containers. With docker the same app can run unchanged on laptops, dedicated servers and virtual servers. This course teaches the basic usage of Docker, useful both for developers and system administrators. The course includes a lot of hands on exercises and the participants will practice in their own Docker environment and build their own Docker images during the 2 days.|
|microservicespython||Developing Microservices with Python||7 hours||Microservices refer to an application architecture style that promotes the use of independent, self-contained programs. Python is a dynamic high-level programming language that is ideal for both scripting as welll as application development. Python's expansive library of open source tools and frameworks make it a practical choice for building microservices. In this instructor-led, live training, participants will learn the fundamentals of microservices as they step through the creation of a microservice using Python. By the end of this training, participants will be able to: Understand the basics of building microservices Learn how to use Python to build microservices Learn how to use Docker to deploy Python based microservices Audience Developers Programmers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice|
|dockkubernetes1||Docker and Kubernetes||21 hours||This Docker and Kubernetes training course is designed to provide attendees with a comprehensive foundation of Docker and Kubernetes technologies. The entire core features of Kubernetes is covered including, Pods, Labels, Volumes, Replication Controllers, Services and more. The course takes attendees from installation to management and usage through a combination of lecture and hands-on lab exercises where they will gain experience configuring and managing Kubernetes objects. In addition, this course will give attendees a solid understanding of Kubernetes including advanced features and security to run safety a Kubernetes cluster in production. This course is for people and teams that want to learn Kubernetes foundation and containers orchestration requirements to build services that are secure, robust, highly available, resilient and self-healing: · Developers · Operations · DevOps · QA Engineers · IT Project Managers|
|dockercompose||Docker Compose||14 hours||Docker Compose is a tool for creating and running multi-container Docker applications. In this instructor-led, live training, participants will learn the fundamentals of Docker Compose as they step through the process of building and deploying sample environments. By the end of this training, participants will be able to: Learn the fundamental features and uses of Docker Compose Define multi-container application environments using Docker Compose Transform an existing application into a fully Dockerized environment Containerize a sample legacy system using Docker Compose Audience Developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice|
|dockkube||Docker (introducing Kubernetes)||14 hours|
|dockerswarm||Docker with Swarm||21 hours||Docker is an open-source platform that automates the building, shipping and running of software applications inside containers. Multi-container Docker applications can be further defined using Compose. Swarm is a tool that controls a cluster of Docker hosts and exposes them as a single "virtual" host. By pooling together numerous Docker engines, Swarm allows IT operations teams to transparently scale up their software deployment to many hosts. In this instructor-led, live training, participants start with an overview of software containerization concepts, then carry out live exercises to put into practice the concepts learned. By the end of the course, participants will be able to: Deploy Docker hosts across multiple machines using Compose and Swarm. Manage a Swarm cluster in a live lab environment. Secure and troubleshoot Docker hosts within their Swarm cluster Audience Software developers System administrator IT managers and operations teams Format of the course Part lecture, part discussion, exercises and heavy hands-on practice|
|dcos||DC/OS: Turn 1000 machines into a single logical computer||14 hours||The Datacenter Operating System (DC/OS) is an open-source distributed operating system built upon the Apache Mesos project. Apache Mesos was built using the same principles as the Linux kernel, only at a different level of abstraction. The Mesos kernel runs on every machine and provides applications such as Hadoop, Spark, Kafka and Elasticsearch with API’s for resource management and scheduling across entire datacenter and cloud environments. Apache Mesos abstracts CPU, memory, storage, and other compute resources away from machines (physical or virtual), enabling fault-tolerant and elastic distributed systems to easily be built and run effectively. DC/OS brings together Mesos and more than 30 applications into one coherent system, similar to how a Linux distribution packages the Linux kernel with applications to create a working operating system. This course provides participants with an overview of Apache Mesos and DC/OS and demonstrates through hands-on practice how to deploy and manage a complete Data Center Operating System. Audience System administrators DevOps engineers Format of the course Part lecture, part discussion, heavy hands-on practice|
|rancher||Rancher: Manage your Docker containers||14 hours||Rancher is an open source software platform that enables organizations to run containers in production. With Rancher, organizations no longer have to cobble together distinct open-source technologies to build a container services platform. It includes a fully supported Kubernetes distribution as well as the option to choose from Docker Swarm and Apache Mesos. Rancher includes modular infrastructure services such as resource management, networking between containers, service discovery, container load balancing, container health monitoring, and backup and recovery, all under one roof. This course provides participants with an overview of Rancher and demonstrates through hands-on practice how to deploy and manage a Rancher container management system. Audience Software engineers System administrators DevOps engineers Format of the course Part lecture, part discussion, heavy hands-on practice|
|rancheros||RancherOS: Just enough OS to run Docker||7 hours||RancherOS is an open-source Linux distribution that runs the entire operating system (including system services such as udev and rsyslog) as Docker containers. RancherOS includes only the bare minimum software needed to run Docker. It runs Docker as PID1 and dynamically pulls everything else it needs through Docker. At about 22MB, RancherOS is easy to distribute, orchestrate and spin up in your data center. This training introduces RancherOS's architecture, tools, and components and walks participants step-by-step through the setup of RancherOS in a live lab environment. By the end of this training, participants will have the understanding and practice to use RancherOS to run containers at scale in development, test and production. Audience DevOps engineers System administrators Software engineers Format of the course Part lecture, part discussion, heavy hands-on practice|
|alpinelinux||Alpine Linux: Setting up a small, simple, and secure OS for your containers||7 hours||Alpine Linux is a security-oriented, lightweight (80 MB) Linux distribution based on musl libc and BusyBox. Alpine Linux is produced by the makers of Docker and is one of several in the recent proliferation of distros tailored for virtualization, containerization and the cloud. Alpine Linux replaces Ubuntu as the official base image for Docker containers. This training introduces Alpine Linux's architecture and walks participants step-by-step through the setup of Alpine Linux in a live lab environment. By the end of this training, participants will have the knowledge and practice to deploy Alpine Linux as the foundation for running containers in development, test and production environments. Audience DevOps engineers System administrators Software engineers Format of the course Part lecture, part discussion, heavy hands-on practice|
|rkt||rkt: Moving from Docker containers to rkt containers||7 hours||rkt is an application container engine for production cloud-native environments. Unlike Docker, rkt executes in the classic Unix process model (there is no central daemon), in a self-contained, isolated environment. rkt implements an open, standard container format and can execute other container images, like those created with Docker. rkt is the default container engine for CoreOS. This training introduces rkt's architecture and walks participants step-by-step through the deployment of rkt containers in a live lab environment. Audience DevOps engineers System administrators Software engineers Format of the course Part lecture, part discussion, heavy hands-on practice|
|projectatomic||Project Atomic: Re-designing the operating system with the LDK (Linux, Docker, Kubernetes) stack.||14 hours||Project Atomic is an umbrella for many projects related to re-designing the operating system around principles of "immutable infrastructure", using the LDK (Linux, Docker, Kubernetes) stack. Many of the components of Project Atomic are upstream components of OpenShift Origin v3. The primary building block of Project Atomic is the "Atomic Host", a lightweight container OS. Project Atomic also encompasses other tools which are essential to immutable, container-based infrastructures, including: Cockpit gives visibility into your hosts and your container cluster. Many patches and extensions to Docker for better SELinux and Systemd integration. AtomicApp and Nulecule for composing multi-container applications. Atomic Registry for registering your containers. Commissaire to provide a better API for Kubernetes hosts. The Atomic Developer Bundle to make development of containerized applications easy. This training introduces the architecture, components and tools behind Project Atomic and walks participants through the deployment and integration of these in a live lab environment. Audience DevOps engineers System administrators Software engineers Format of the course Part lecture, part discussion, heavy hands-on practice|
|dockerkubernetesscale||Docker and Kubernetes: Building and Scaling a Containerized Application||21 hours||Docker is an open-source platform for automating the process of building, shipping and running applications inside containers. Kubernetes goes one step further by providing the tools needed to deploy and manage containerized applications at scale in a clustered environment. In this instructor-led training, participants will learn how to create and manage Docker containers, then deploy a sample application inside a container. Participants will also learn how to automate, scale, and manage their containerized applications within a Kubernetes cluster. Finally, the training goes on to more advanced topics, walking participants through the process of securing, scaling and monitoring a Kubernetes cluster. By the end of this training, participants will be able to: Set up and run a Docker container Deploy a containerized server and web application Build and manage Docker images Set up a Docker and Kubernetes cluster Use Kubernetes to deploy and manage a clustered web application Secure, scale and monitor a Kubernetes cluster Audience Software Developers Architects Deployment engineers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice Note: Apache Tomcat and a Java EE application will be used as our demo servers and applications for containerization. However, *these are subject to change*. If you would like to see a specific application or related tool or technique covered in this training, please contact us to arrange.|
|openshift||OpenShift for Administrators||21 hours||OpenShift is a container application platform for deploying Docker and Kubernetes in the enterprise. It is maintained by Red Hat. In this instructor-led, live training, participants will learn how to install, configure, and manage OpenShift Platform Container. By the end of this training, participants will be able to: Create, configure, manage, and troubleshoot OpenShift clusters Secure OpenShift Platform Container Monitor and gather metrics Manage storage Quickly deploy applications on-premise, in public cloud or on a hosted cloud. Audience System administrators Architects Developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice|
|mobyproject||Moby Project||7 hours||The Moby Project is an open-source library of components for assembling custom container-based systems. It provides a “Lego set” of dozens of components, a framework for assembling them into custom container-based systems, and a place for users to experiment and exchange ideas. In this instructor-led, live training, participants will learn how to use Moby Project to assemble specialized container systems. By the end of this training, participants will be able to: Assemble their own docker engine by stripping out unnecessary components Swap out build systems and volume management functions Use Moby tooling to define components (OS, hypervisor, etc.), then pack them into a chosen artifact Assemble a sample tiny OS that can be booted straight from bare metal Audience Developers DevOps System administrators Format of the course Part lecture, part discussion, exercises and heavy hands-on practice|