Kubernetes is an open-source orchestration system for automating management, placement, scaling and routing of containers. It provides an API to control how and where the containers would run. Docker is also an open-source container-file format for automating the deployment of applications as portable, self-sufficient containers that can run in the cloud or on-premises. Together, Kubernetes and Docker have become hugely popular among developers, especially in the DevOps world.
Both Docker and Kubernetes are huge open-source technologies, largely written in the Go programming language, that use human-readable YAML files to specify application stacks and their deployment.
Cognixia brings to you a unique bootcamp covering basic to advanced-level concepts of Docker and Kubernetes. The bootcamp offers an engaging and immersive learning experience for participants where they can take advantage of connecting with an industry expert trainer, develop their competencies to meet industry and organizational standards, as well as learn about real-world best practices.
What You'll learn
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Once the course is completed, you need to appear for an objective question-based assessment conducted by Cognixia. Based on your performance on different parameters such as attendance in the sessions, assessment scores, etc. you will be awarded a certificate by Cognixia.
Gartner predicts that by 2023, 70% of the organizations will be running three or more containerized applications in production. Containers, Kubernetes and Microservices application patterns are the three main drivers of enterprise IT innovation and digital transformation. The number of organizations that have containerized more than half of their applications is currently growing at a pace of close to 22%. Docker and Kubernetes are two of the most popular tools bridging the gap between Development and Operations today, and are shaping the future of business architecture. The future outlook for these tools is very positive, and with time, their demand and applications are going to grow manifold.
Docker and Kubernetes s one of the top 10 fastest rising tech skills today, according to Indeed. During the four-year period between October 2015 to October 2019, the share of Kubernetes jobs per million grew by 2141.03% and the share of Kubernetes job searches increased by 2125.66%. The top five tech roles related to Docker and Kubernetes are DevOps engineer, Software engineer, Software architect, Cloud engineer and Full stack developer. With such a huge demand in the market, a certification in Docker and Kubernetes from a globally recognized institution would set you apart in the crowd, would add immense value to your resume, and validate your skills and expertise in the field.
Yes, the Docker and Kubernetes training and certification offered by Cognixia is globally recognized. This certificate is given out by Cognixia itself upon successful completion of the training and clearing the assessments, as well as other parameters. You can add this credential to your resume, your LinkedIn profile, share it on social media, as well as present it along with your resume as a validation of your skills in Docker and Kubernetes.
The Docker and Kubernetes training offered by Cognixia covers:
- Fundamentals of Docker
- Fundamentals of Kubernetes
- Running Kubernetes instances on Minikube
- Creating and working with Kubernetes clusters
- Working with resources
- Creating and modifying workloads
- Working with Kubernetes API and key metadata
- Working with specialized workloads
- Scaling deployments and application security
- Understanding the container ecosystem
This Docker and Kubernetes training course is best suited for current and aspiring DevOps developers, DevOps engineers, Java developers, C# and .Net developers, Software engineers, Backend developers, IoT architects and Quality Assurance engineers.
For this Docker and Kubernetes training and certification course, participants need to have a basic command knowledge of Linux and a basic understanding of DevOps. Having a fundamental knowledge of YAML programming language would be beneficial.