Free Download IoT Essentials for Professionals Smart Tech & Automation
Published 12/2025
Created by IEMLearning .com
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 20 Lectures ( 2h 14m ) | Size: 4.6 GB
Master device connectivity, Node-RED development, edge computing & real-world IoT deployments.
What you'll learn
Learn how IoT devices communicate using sensors, microcontrollers, and wireless technologies.
Gain hands-on experience with major IoT communication protocols such as MQTT, CoAP, and gRPC.
Build and deploy IoT workflows using Node-RED and other industry-relevant platforms.
Explore edge, fog, and cloud computing models to design scalable IoT solutions.
Analyze IoT data using dashboards, visualization tools, and predictive analytics techniques.
Study real-world IoT applications, including smart cities, automation, monitoring systems, and robotics.
Develop the skills to conceptualize, design, and implement end-to-end IoT projects for industry use.
Requirements
No requirements or prerequisites needed.
Description
The Internet of Things (IoT) is transforming the world around us: connecting devices, enabling automation, and generating intelligent insights that power modern industries. This comprehensive IoT course is designed for students, professionals, and tech enthusiasts who want to build a strong foundation and practical skillset in the rapidly growing IoT ecosystem.Across six structured modules, learners begin with the fundamentals of IoT, exploring how connected devices communicate and how IoT solutions are architected. They then dive into the essential hardware and networking components that form the backbone of IoT systems. Communication protocols such as MQTT, CoAP, and gRPC are covered in depth, giving students the ability to design robust and scalable systems.The course further explores cutting-edge computing technologies like edge, fog, and cloud. Also demonstrates how IoT applications are built using platforms like Node-RED. Learners also gain strong analytical skills by working with dashboards, visualization tools, and predictive analytics for IoT datasets.To bridge theory with practice, the course concludes with real-world use cases across industries, including asset monitoring, drone surveillance, smart water management, traffic systems, and conveyor belt monitoring.By the end of this course, learners will have both the knowledge and confidence to conceptualize, design, and implement IoT solutions making them industry-ready and prepared for future technological advancements.
Who this course is for
Students, professionals, and anyone who wants to build a strong foundation in Internet of Things (IoT).
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