You should have basic Linux command-line skills, a fundamental understanding of the software development lifecycle, and familiarity with basic networking concepts such as ports and IP addresses. Prior experience with YAML syntax is helpful but not mandatory, as the course covers YAML manifests in the Kubernetes modules.

The course covers DevOps foundations, Docker architecture and container operations, Dockerfile optimization, Docker Compose, Kubernetes architecture (Control Plane and Worker Nodes), workload controllers (ReplicaSets, DaemonSets, Deployments, Jobs, CronJobs), Kubernetes networking and services, persistent storage, Helm-based deployments, and advanced scheduling and autoscaling policies.

The course is designed to be completed in 3 weeks. You should plan to dedicate approximately 15-20 hours per week, including video lectures, hands-on labs, and project work, to fully absorb the Docker and Kubernetes concepts covered in the curriculum.

You will complete hands-on labs in every module, including Docker installation, building multi-container apps with Docker Compose, managing Pods with kubectl, implementing zero-downtime deployments, and configuring Kubernetes networking. Additionally, you will work on three capstone projects: containerizing a microservices e-commerce app, managing Kubernetes workloads for a SaaS platform, and deploying a Helm-packaged data processing pipeline.

This course prepares you for the Docker Certified Associate certification, which is widely recognized in the industry. The skills you gain—Docker containerization, Kubernetes orchestration, Helm deployments, and autoscaling—are directly applicable to roles such as DevOps Engineer, Cloud Infrastructure Engineer, and Kubernetes Administrator, which are among the most in-demand positions in modern IT organizations.

You will work extensively with Docker (Docker CLI, Dockerfile, Docker Compose), Kubernetes (kubectl, YAML manifests), and Helm for application packaging and deployment. You will also gain exposure to Kubernetes networking concepts including ClusterIP and NodePort services, persistent volume management, and autoscaling configurations within Kubernetes clusters.

The Micro Degree course is an online LIVE course, where LIVE sessions will be conducted online on our Classroom platform. Prior to the start of the course, you'll receive preparatory material in the form of recorded content which can be access on the same platform.

In this course instructors will use English language for teaching.

Upon successful registration, you will receive a confirmation email on your registered email ID. In this email you will receive login details for your newly created account on the Edyoda Classroom platform (https://classroom.edyoda.com). Additionally, you will receive a PDF guide containing step-by-step instructions on how to utilize the platform to access live sessions and learning materials.

Our instructors are the industry experts with a minimum working experience of 10 years with a strong technical and teaching background. They bring industry knowledge and practical expertise to the course.

Yes, the course includes online assignments, quizzes, and a final project to reinforce your learning and assess your proficiency in Docker Certified Associate.

Yes, you can interact with instructors and fellow students through discussion forums, live Q&A sessions. We encourage a supportive learning community.

We offer a 100% money-back guarantee to ensure your complete satisfaction. If you're not satisfied, you can request a full refund within 3 days of purchase or before the second session, whichever comes earlier. Simply contact our support team(support@edyoda.com) with your purchase details, such as the order ID or email address, and share your reason for the refund. Requests made after 3 days or after the second session will not be eligible for a refund. There are no hidden charges, you will receive the full amount paid. Refunds are processed within 7–10 business days and credited back to your original payment method.