[MULTI] From The Sensor To The Cloud - The Industry Perspective

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From The Sensor To The Cloud - The Industry Perspective
Published 2/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 48m | Size: 3.62 GB​
Fundamentals of IoT and Digital Solutions, a Professional Perspective from Real-World Practice
What you'll learn
Detailed understanding of how IoT and Digital Systems are implemented in real-world practice.
Philosophy behind sensing and design of Digital Systems.
Refresh key fundamental Electrical and Electronics sciences behind Digital Systems.
Understand various solutions in detail, like Building Management Systems, Waste Management, Parking Management.
Detailed understanding of Practical IoT & Digital Systems Architecture - based on real-world implementations.
Structure of Software Applications and how they are relevant to respective use-cases and end-users.
Requirements
No specific prior experience required, the course provides sufficient detail to understand and learn the industry implementations of the topics.
Description
This course provides a practical, industry-driven perspective on how physical phenomena-such as temperature, humidity, pressure, and visual data-are sensed, processed, and transformed into meaningful digital intelligence that drives modern automation systems. Rather than focusing solely on theoretical concepts, the course bridges the gap between textbook fundamentals and real-world engineering applications.
Participants will explore the complete journey of a physical parameter, starting from how it exists in the natural environment, to how it is captured by sensors and embedded devices. The course explains the working principles of different sensor types, signal conditioning, data acquisition, and the role of microcontrollers, gateways, and communication protocols in converting raw physical signals into reliable digital data streams.
From there, the focus shifts to how this digital data is transmitted, processed, and analyzed within software platforms, cloud systems, and automation algorithms. Learners will gain insight into how sensor data is used to trigger actions, optimize processes, generate alerts, and support data-driven decision-making across industries.
At every stage-from sensing and device integration to connectivity, data processing, analytics, and application layers-the course presents real-world examples and implementations. By combining fundamental engineering principles with practical case studies, the course provides a comprehensive understanding of how physical sensing technologies are deployed in real projects. Participants will leave with a clear, end-to-end view of how raw environmental inputs are transformed into automated actions, intelligent insights, and scalable digital solutions.
Who this course is for
Professionals embarking on or enhancing, their career in IoT and Digital Systems, and engineering students exploring the next steps in the professional world.


Code:
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