Docker and Kubernetes Masterclass: From Beginner to Advanced

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this advanced Docker course, you'll learn to manage data persistence, resource optimization, and container orchestration. By the end, you'll be proficient in using Docker volumes for data storage, setting resource limits, applying restart policies, and building multi-container apps with Docker Compose. Gain hands-on experience with bind mounts, named volumes, and managing Docker networking for production environments. The course starts by exploring Docker volumes and data persistence, teaching you how to manage and store data within containers. You’ll then cover resource management, including CPU and memory limits, and advanced networking concepts like user-defined and host networks. Real-world projects follow, where you’ll build and deploy a key-value app and a notes app using Docker Compose. You'll manage services, handle dependencies, and use multistage builds to optimize container images. Ideal for developers and system admins with basic Docker knowledge, this course will help you deepen your skills in managing complex containerized applications.

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This advanced course dives deep into Kubernetes, equipping you with the skills to build secure, scalable, and production-ready deployments. By the end, you’ll confidently manage Kubernetes resources, configure persistent storage, implement strong security practices, and deploy applications to cloud platforms like GKE using Kustomize. You'll also learn to tackle real-world infrastructure challenges such as handling secrets, configuring probes, and applying network policies. Your learning journey starts with advanced resource management—using labels, selectors, quotas, and namespaces—followed by implementing health checks through readiness, liveness, and startup probes. You'll then work with persistent storage solutions like volumes and StatefulSets, manage configuration and sensitive data using ConfigMaps and Secrets, and secure workloads with RBAC, service accounts, and Pod Security Standards. Kustomize will help you streamline multi-environment deployments with ease. This course is designed for DevOps engineers and cloud professionals with prior Kubernetes experience who are looking to scale, secure, and operate containerized applications in production environments.

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this comprehensive Docker course, you'll master the fundamentals of containerization, including how to create, manage, and deploy containers and Docker images. By the end of the course, you'll be able to understand the differences between containers and virtual machines, set up Docker on multiple platforms, manage containers using the Docker CLI, and build and optimize Docker images. You'll also learn how to containerize real-world applications like NGINX, Express, and React, giving you the hands-on experience needed for practical deployment. The course begins with an introduction to Docker and containers, explaining their core benefits and architecture. You'll also set up Docker on MacOS, Linux, and Windows, ensuring you're ready for real-world development environments. Play with Docker will also be explored for quick container experiments. By the end, you will have completed projects that involve building and deploying containerized applications, reinforcing your knowledge and confidence in Docker. This course is ideal for beginners with a basic understanding of software development. No prior experience with Docker is required.