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Kubernetes Edge Computing with K3s
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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

Kubernetes
Edge Computing
K3s
Cloud Native
DevOps
Container Orchestration
MQTT
GitOps
Docker
Linux

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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.

Kubernetes Edge Computing with K3s

Beginner

Skill Level

10 Weeks

Self-paced lessons

Course Cost

₹ 16,056

Completion

CERTIFICATE

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.