Edge Computing Essentials Concepts to Real– World Use Cases

Learn Edge Computing Architecture, Platforms, and Technologies with Real-World Applications and Practical Implementation
What you'll learn
✓ Understand the fundamentals and architecture of edge computing.
✓ Explore the key technologies driving the edge, including IoT, 5G, and edge AI.
✓ Gain insights into edge infrastructure, devices, and runtime components.
✓ Learn about edge platforms, software frameworks, and deployment models.
✓ Analyze the benefits, challenges, and real-world impact of edge solutions.
✓ Explore real-world use cases, including a Smart Building Energy Management system.
✓ Get hands-on experience with Node-RED and ThingsBoard for edge workflows.
✓ Develop the confidence to design, implement, and evaluate edge computing solutions.
Requirements
● Basic understanding of computers and networking concepts is helpful but not mandatory.
● Curiosity about IoT, AI, and modern computing system - no prior edge computing experience required.
● Access to a computer with internet to run hands-on tools like Node-RED and ThingsBoard.
Description
Edge computing is transforming how modern systems process data—enabling real-time decisions, low latency, and intelligent applications closer to the data source.
This course is designed to give you a clear, structured, and practical understanding of edge computing, starting from core concepts and architecture, and progressing toward real-world applications and hands-on implementation. You will learn how edge computing fits into today's IoT, AI, and distributed system landscape, and why it has become a critical component of modern digital infrastructure.
Rather than focusing on theory alone, this course bridges the gap between concepts and real-world use cases. You will explore edge platforms, deployment models, benefits and challenges, and practical workflows—culminating in hands-on exposure using Node-RED and ThingsBoard.
By the end of this course, you will not only understand what edge computing is, but also how and where it is applied in real systems, and how to get started with implementing edge solutions in practice. You will gain the confidence to evaluate use cases, design basic architectures, and make informed decisions when integrating edge computing into existing or future technology solutions across industries with scalability, performance, and operational reliability in mind.
Enroll NOW for the course and start building practical edge computing skills today!
Who this course is for
■ Beginners, students, and tech enthusiasts who want to understand Edge Computing, IoT, AI, cloud, and distributed systems and its growing importance in the AI era.
■ IT and engineering professionals in software, networking, cloud, DevOps, or data engineering seeking to expand skills into edge-to-cloud architectures.
■ IoT developers, automation engineers, and embedded systems learners aiming to explore how devices, sensors, gateways, and edge platforms work together.
■ Product managers, business analysts, and technology leaders preparing for AI, 5G, smart infrastructure, digital transformation, or Industry 4.0, and understanding the business impact and real-world applications of edge solutions.
Homepage

https://www.udemy.com/course/edge-computing-essentials-concepts-to-real-world-use-cases/

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