Kubernetes Edge Computing with K3s
Master edge computing deployment using K3s with hands-on labs and practical examples. Learn to implement Kubernetes at the edge using cloud-native tools.
Course Cost
₹ 16,056
Beginner
Skill Level
10 Weeks
Self-paced lessons
This comprehensive course explores edge computing implementation using Kubernetes and K3s. Students learn about edge computing use cases, deployment strategies, and practical applications through hands-on exercises. The curriculum covers essential topics including K3s project fundamentals, cloud-native edge ecosystem, and application deployment using open-source tools. Participants gain practical experience with object storage, MQTT, OpenFaaS, and learn to address edge computing challenges like partial availability and remote access. The course emphasizes real-world applications, including low-power hardware deployment and sensor integration, making it ideal for developers interested in modern edge deployment solutions.
What you'll learn
Understand edge computing use cases and implementation strategies
Deploy applications using K3s and k3sup in edge environments
Implement solutions for low-power hardware like Raspberry Pi
Manage edge computing challenges including availability and remote access
Gain hands-on experience with object storage, MQTT, and OpenFaaS
Master fleet management and GitOps deployment models
Develop skills in messaging and sensor interface integration
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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There are 11 modules in this course
This course provides a comprehensive introduction to edge computing with Kubernetes, focusing on the K3s project. Students learn about edge computing use cases, deployment strategies, and practical implementation using cloud-native tools. The curriculum covers essential topics including K3s architecture, container orchestration, application deployment, and managing edge-specific challenges. Through hands-on labs, participants gain experience with object storage, MQTT protocols, and OpenFaaS. The course emphasizes practical applications, including low-power hardware deployment and sensor integration, while addressing real-world challenges in edge computing environments.
The Case for Edge Compute
Module 1
The Edge Compute Landscape
Module 2
Scaling Down and System-on-Chip Devices
Module 3
What Is K3s and Why Is It needed?
Module 4
Setting Up Your Lab Environment
Module 5
Kubernetes API Primitives
Module 6
Functions at the Edge
Module 7
Command & Control and Remote Access
Module 8
Deployment Strategies for Applications at the Edge
Module 9
Challenges with Edge
Module 10
Further Resources
Module 11
Fee Structure
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.






