Prerequisites
There are no prerequisites to attend this course. However, a good knowledge of Linux will be beneficial.
Audience
Anyone who wishes to learn Docker can attend this course. This course is well-suited for:
- Systems Admins
- Developers and Testers
- Operators and Architects
- Cloud Professionals
Introduction to Docker Training Course Overview
Docker is an open-source platform for shipping, developing, and running applications. It enables to detach applications from infrastructure for delivering software quickly. Docker allows to manage infrastructure in a similar way as the application manages. This training assists learners to know about the management and deployment of multi-container applications using the Docker platform. Docker provides fast, consistent delivery of the application, run more workloads on the same hardware and has responsive deployment. Possessing the knowledge of Docker platform help individuals or professionals to establish their value in the market as experienced Docker practitioners and enhance their career as DevOps Engineers.
In this 2-day Introduction to Docker Training course, delegates get a comprehensive knowledge of the basic and advanced concepts of Docker. During this training, delegates will learn about Docker networks using several network drivers like Network Bridge and overlay network. They will also learn about container lifecycle, port binding, Docker terminology, rolling update and rollback, etc. Our highly expert trainer with years of teaching experience will conduct this course and help delegates to get to know about all the aspects of Docker and its various services.
This training will also cover various essential topics, such as:
- Orchestration in Docker
- Docker EE and monitoring
- Types of persistent storage
- Image management and registry
- Kubernetes common commands
- Persistent volumes and persistent volume claims
At the end of this training course, delegates will be able to log drivers, bind container ports, and write restart policies for containers. They will also be able to create custom images by writing and building a Dockerfile that leads to managing a remote registry to store custom images.