In this video, I’m taking you through Docker from the ground up, focusing on how containers actually work and how the pieces fit together in real-world engineering environments, not just which commands to memorize.

I’m breaking down the core concepts behind Docker, including containers vs. virtual machines, Docker’s architecture, images and containers, Dockerfiles, image layers and caching, container lifecycle management, volumes and bind mounts, container networking, and Docker Compose.

The goal is to give you a strong mental model of Docker so you can start building, running, and troubleshooting containerized applications with confidence, while building the foundation you need for modern DevOps, cloud, backend, and AI engineering workflows.

Instagram: https://www.instagram.com/vishakha.sadhwani
LinkedIn: https://www.linkedin.com/in/vsadhwani/

Subscribe to my Newsletter: https://www.tech5ense.com/

-----------------------------------------------

🙋‍♀️ ABOUT ME

I’m Vishakha ☁️; A Cloud Architect and DevOps enthusiast who loves turning complex cloud concepts into simple, practical insights you can actually use. You’ll find real-world projects 💻 quick explainers ☕ and honest career advice 💬; From Kubernetes and Terraform to landing roles and building your tech brand, I keep things approachable, actionable, and a little fun so learning Cloud and DevOps actually feels exciting.

If this sounds like your vibe, hit subscribe, and let’s keep growing together 🚀

-----------------------------------------------

🏷️ TAGS
vishakha sadhwani,cloud computing,docker full course,docker in one shot,docker tutorial,learn docker,docker for beginners,what is docker,how docker works,docker and kubernetes,docker installation,docker container,docker image,dockerfile,docker compose,docker desktop,docker for devops,docker projects,devops concepts,devops engineer,software engineer,learn to code,devops interview,docker crash course for beginners,docker interview questions

-----------------------------------------------

#️⃣ HASHTAGS
#devops #docker #cloudcomputing