Cloud-Architecture Intermediate Premium

Edge Computing and IoT on Cloud Virtual Internship

In this virtual internship, students will learn how to design and deploy IoT solutions that leverage edge computing on cloud platforms. They will gain hands-on experience with cloud architecture, IoT device management, and the integration of edge computing to optimize performance, reduce latency, and enhance data security. Upon completion, students will be equipped with the skills to architect and implement scalable, resilient, and efficient IoT systems on leading cloud platforms.

weeks
8 tasks
0 enrolled
Sign In to Purchase - $49
Track price: $49.00

Track Overview

This track provides hands-on experience and real-world projects to build your skills.

Tasks & Milestones

Explore Edge Computing Concepts

Intermediate

In this task, students will research and summarize the key concepts of edge computing, including its definition, the role of edge devices, and the advantages it offers for IoT systems.

4 hours

Assess Edge Computing Use Cases

Intermediate

In this task, students will explore real-world use cases of edge computing in IoT and analyze the benefits and challenges of each scenario.

6 hours

Architectural Patterns for Edge Computing in IoT

Intermediate

In this task, students will explore the common architectural patterns for integrating edge computing into IoT solutions and evaluate their suitability for different use cases.

8 hours

Secure and Scalable IoT Device Management

Intermediate

In this task, students will develop strategies for managing IoT devices, including secure provisioning, remote configuration, and scalable monitoring, in the context of an edge computing-enabled IoT solution.

12 hours

Cloud-Edge Integration Patterns

Intermediate

In this task, students will research and analyze the different integration patterns for connecting edge devices with cloud platforms, evaluating the benefits and trade-offs of each approach.

8 hours

Implement a Proof-of-Concept IoT Solution

Intermediate

In this task, students will implement a proof-of-concept IoT solution that integrates edge computing with cloud platform services, demonstrating the benefits of this approach.

20 hours

Load Balancing and Resource Management at the Edge

Intermediate

In this task, students will explore techniques for load balancing and resource management in edge computing-enabled IoT solutions, and implement a proof-of-concept demonstration.

12 hours

Optimizing Data Processing and Storage at the Edge

Intermediate

In this task, students will explore strategies for optimizing data processing and storage at the edge in IoT solutions, and evaluate the trade-offs of different approaches.

10 hours

Prerequisites

  • • Basic understanding of cloud computing concepts
  • • Familiarity with programming languages (e.g., Python, Node.js)
  • • Experience with IoT device development or cloud platform services

Certificate

Certificate of Completion

Earn a certificate upon successful completion