Certification in Internet of Things (IoT)
Categories: IoT, Technology
About Course
This course focuses on the transformative intersection between the Internet, mobile, and sensor technology to equip participants with IoT-enabling skills. Learners will design IoT systems to connect embedded sensors using commodity smartphones via Bluetooth Low Energy. Topics include embedded system design, app development, and practical hands-on sessions, supervised by industry expert trainers.
What Will You Learn?
- Understand IoT architecture and concepts
- Gain practical experience in microcontroller programming
- Learn about sensors, connectivity, and data messaging protocols
- Perform cloud-based IoT analytics
- Develop IoT applications for real-world use cases
Course Content
Subject 1: Introduction to the Internet of Things
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Covers history, IoT concepts, frameworks, and various industry applications in sectors like manufacturing, healthcare, and transportation.
00:00
Subject 2: IoT Architecture and Core IoT Modules
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Focuses on IoT ecosystems, machine-to-machine communication, architecture roles, and the value of network technologies like Fog and Edge computing.
00:00
Subject 3: Microcontroller Programming
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ARM and AVR series architecture, instruction sets, firmware development, and peripheral programming techniques.
00:00
Subject 4: Programming Languages
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Overview of C and Python programming for IoT devices, including data structures, memory management, and libraries.
00:00
Subject 5: Sensor, Endpoints, and Power Systems
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Discusses various sensors (temperature, Hall effect, PIR, MEMS) and their practical use in IoT systems.
00:00
Subject 6: IoT Networking Protocols and Connectivity
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Details low-power and high-power connectivity protocols like Bluetooth, ZigBee, NFC, and Wi-Fi.
00:00
Subject 7: IoT Networking Data Messaging Protocols
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MQTT, HTTP, CoAP, DDS, and their use cases in data communication for IoT devices.
00:00
Subject 8: IoT Analytics for the Cloud
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Focuses on elastic analytics, cloud infrastructure, designing for scale, and cloud security.
00:00
Subject 9: Getting to Know Your Data
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Techniques for exploring and visualizing IoT data, including time-series analysis and data quality assessment.
00:00
Subject 10: Communication and Dashboard Visualization
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Covers visual analysis design, creating dashboards, and best practices for IoT data visualization.
00:00
Subject 11: Data Science for IoT Analytics
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Introduction to machine learning, optimization, and evaluation in IoT.
00:00
Subject 12: Bringing it all Together
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Final review of IoT data flow, exploratory analytics, and building revenue from IoT analytics.
00:00
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