Empire Data Systems LLC in Allentown,PA provides Online,Classroom Docker training with real time examples, course materialsand facilities such as Placement,Individual Training,Resume Assistance,Career Guidance,Real Time Projects,Mock Interviews,Case Study,Internship,Continuing Education
Docker
IT Career Cloud in Sheridan,WY provides Online Docker training with real time examples, course materialsand facilities such as Placement
Docker
This DevOps training and certification course is designed by our experts and engineers on the subject, You will learn the combination between development & IT operations within an organization to automate infrastructures and workflows. Instructor led classes evolve your skills on engineering DevOps in the Cloud, enterprise, local, rugged and toolbox. These workshops are to expertise you on processes and tools like Puppet, Jenkins, Nagios, GIT for automating multiple steps in SDLC, Ansible, SaltStack, Chef
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Immerse yourself into the world of Docker with our comprehensive Docker course. We aim to provide an engaging and interactive learning experience that is entirely user-friendly, specifically designed for our USA audience.
Our Docker training course is designed to equip you with the necessary skills to efficiently utilise Docker, an open-source platform used for automating the deploying, scaling, and managing of applications. Throughout this course, we will guide you through the fundamentals of Docker, its architecture and the problems it resolves.
The primary aim of our Docker training course is to make you proficient in Docker and its related technologies. We aspire to make you capable of working independently on Docker projects, enhance your knowledge, and further your career.
The Docker course duration is 30 hours, suitable for intermediate level learners. The prerequisites for this course include a basic understanding of Linux and networking concepts. Upon successful completion of the course, you will receive a Docker training certification.
The Docker Training Course syllabus is divided into several modules, each covering a specific aspect of Docker. Here are the modules and what we cover in each:
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