What you'll get
- 9+ Hours
- 4 Courses
- Mock Tests
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Kubernetes basics and its role in container orchestration
- Docker vs Kubernetes and why Kubernetes is essential
- Set up a 3-node Kubernetes cluster on VMs
- Understand VMs, containers, and pods
- Create and manage pods using YAML and CLI
- Pod-to-pod and node-to-pod communication
- Use ReplicaSets and label selectors
- Deploy applications and scale using Deployments
- Implement deployment strategies: Rolling Update, Canary, Blue-Green
- Build and manage production-grade Kubernetes clusters
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Kubernetes Training | 3h 21m | ✔ | View Curriculum |
| Project on Kubernetes: Hosting a Web Application as a Container | 3h 38m | ✔ | View Curriculum |
| Project on Kubernetes: Deploying a Custom Docker Image | 1h 22m | ✔ | View Curriculum |
| Kubernates | 2h 42m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| No courses found in this category. | |||
Description
This Kubernetes course takes a unique and highly effective approach to help learners truly understand complex concepts. We create the course videos by capturing step-by-step screenshots of actual implementations and transforming them into detailed, easy-to-follow videos.
Kubernetes is a complex system with many interrelated components. To understand how these components work individually and together, a clear visual representation is essential. By capturing live data from a 3-node Kubernetes cluster running on virtual machines—including dynamic pod IPs, names, and node allocations—we create accurate diagrams and visualizations that make learning intuitive.
This approach allows learners to clearly see how pods, ReplicaSets, Deployments, DaemonSets, and services interact in real-time, making it easier to grasp even the most complex Kubernetes concepts.
Requirements
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Familiarity with YAML, Linux commands, Docker, containers, or Google Cloud is a plus, but not required
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Familiarity with virtualization or using virtual machines
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Basic networking knowledge (IP addresses, ports, DNS concepts)
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Willingness to explore and experiment with command-line tools.
Target Audience
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Anyone who wants to learn Kubernetes
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Individuals aiming to start a career in DevOps
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Developers or system administrators looking to upskill
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Cloud engineers interested in container orchestration
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Students or professionals exploring modern infrastructure technologies.
