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Online Certified CourseInternet of Things
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Course Modules
Internet of Things
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Learning Outcomes
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Understand IoT fundamentals and smart agriculture applications.
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Apply basic electronics and Arduino programming.
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Integrate sensors for agricultural monitoring.
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Configure NodeMCU, Wi-Fi, and IoT communication protocols.
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Use cloud platforms for real-time data monitoring and visualisation.
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Develop smart irrigation, greenhouse, and livestock monitoring systems.
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Identify IoT deployment challenges and optimise system performance.
Why Enroll in This Course?
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Why This Course Matters
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Promotes smart farming and precision agriculture through IoT technologies.
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Enables efficient use of water, energy, and other agricultural resources.
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Develops practical skills in sensors, automation, and real-time monitoring.
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Supports data-driven decision-making and improved farm productivity.
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Builds technical skills for careers in agri-tech, IoT, and digital agriculture.
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What You'll Learn in Each Module
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Overview & Objectives
Internet of Things
Structured online learning designed to help learners build practical speaking, presentation and interpersonal ability.
About This Course
This course provides a comprehensive introduction to the Internet of Things (IoT) and its applications in smart agriculture and precision farming. It covers the fundamentals of IoT, its evolution, ecosystem, system components, benefits, and challenges in modern agricultural practices. Learners develop foundational knowledge of electronics, including voltage, current, resistance, Ohm’s law, electronic components, digital and analog signals, and circuit diagrams.
The course offers practical training in Arduino programming and interfacing, sensor integration, and NodeMCU-based communication. It explores agricultural sensors for soil moisture, temperature, humidity, light, water levels, and gas detection, along with Wi-Fi connectivity and communication protocols. Learners also understand IoT architecture, cloud platforms such as ThingSpeak, sensor data transmission, real-time monitoring, data processing, and dashboard visualisation.
Through practical examples and case studies, participants explore smart irrigation, automated pump control, greenhouse monitoring, livestock monitoring, and weather monitoring systems. The course also addresses field deployment challenges and system optimisation. By the end of the course, learners will be equipped with foundational technical and practical skills to develop IoT-enabled agricultural solutions that improve resource utilisation, farm productivity, automation, and sustainable agricultural management.
Meet Your Trainer
Dushyant Kumar Singh
Dr. Dushyant Kumar Singh is an academician, researcher and technologist with more than 18 years of experience in teaching, research and development, industry, corporate training and academic leadership. He is currently working as an Associate Professor at Lovely Professional University, Punjab.
His areas of expertise include embedded systems, the Internet of Things, artificial intelligence, machine learning, deep learning, edge computing, generative AI, Python programming and business intelligence. He has designed and delivered courses, workshops and training programmes on emerging technologies for students, faculty members and industry professionals.
Dr. Singh has authored and edited books, contributed chapters to academic publications and published numerous research papers in reputed journals and international conference proceedings. His research interests particularly include precision agriculture, intelligent irrigation, IoT-enabled monitoring systems and AI-based applications. He also holds several Indian and UK patents and design registrations for innovative technology-based devices.
His achievements include mentoring the first-prize-winning project at the Fourth Delta Advanced Automation Contest in China and serving as a judge, session chair, technical committee member and reviewer for reputed conferences and journals. He is committed to promoting practical, innovation-driven and industry-oriented technology education.
