Discover the science and technology behind intelligent temperature sensing! This course introduces you to the design, operation, and integration of smart temperature sensors used in modern devices and systems. Learn how these sensors collect, process, and communicate data for applications in IoT, automation, and environmental monitoring — turning raw temperature readings into smart insights.
- 72 Hours (2 hours/day x 6 days/week x 6 weeks) OR at your own pace
- Hindi, English
- Learn & Get Certified
- Basic & Intermediate
- Hands-On Training
About this course
The IoT Engineer (Core Foundation) Master Course is a comprehensive 152-hour, 8-week training program.
It is designed to build strong fundamentals in IoT through a blend of 40% theory and 60% hands-on practicals.
The course introduces learners to the IoT ecosystem, sensors, microcontrollers (Arduino, ESP32), communication protocols such as MQTT, HTTP, and WebSockets, along with cloud platforms like Thingspeak, Firebase, Arduino IoT Cloud, and Blynk.
Learners gain practical experience in device interfacing, wireless communication, dashboarding, Python-based data handling, networking basics, and IoT security, with optional training on Raspberry Pi and edge computing.
Weekly mini-projects and a final capstone project ensure students acquire real-world skills in building complete IoT solutions, covering hardware, firmware, cloud integration, networking, and security, preparing them for advanced specializations and industry-ready IoT roles.
This course provides essential knowledge and practical training to build industry-relevant skills.
Fees: ₹3500, ₹2000 (incl. GST) (Excluding tools & equipment cost)
Certification: TCoE
Duration: 72 Hours (2 hours/day x 6 days/week x 6 weeks) OR at your own pace
What you'll learn
After this course you will be able to:
- Fundamentals of Temperature Sensing: Understand the principles, types, and working mechanisms of modern temperature sensors.
- Sensor Design & Calibration: Learn how to design, configure, and calibrate sensors for accurate temperature measurement.
- Smart Sensor Integration: Explore how microcontrollers and IoT platforms enhance traditional sensors with smart capabilities.
- Data Acquisition & Communication: Gain hands-on knowledge of how sensors collect, process, and transmit temperature data wirelessly.
- Applications & Real-World Use Cases: Discover how smart temperature sensors are applied in smart homes, healthcare, industry, and environmental systems.
- Project-Based Learning: Develop a mini-project integrating a smart temperature sensor with a control or monitoring system.
Course Content
Why take this course?
This course empowers you to design, develop, and deploy smart connected systems that bridge the physical and digital worlds. You will learn how sensors, embedded devices, communication protocols, cloud platforms, and data analytics work together to create real-time, scalable IoT solutions. With IoT transforming industries such as smart cities, healthcare, manufacturing, agriculture, and energy management, this course equips you with in-demand, future-ready skills. It is an ideal choice for building a strong career in connected technologies, innovation, and Industry 4.0 applications.
How to use online TCoE platform?
Tools and Equipment required
National Skill Development Mission
Module 1: Introduction to IoT and Automotive Systems (6 Hours)
- Covers the basics of IoT and its role in transforming the automotive industry.
- Learners explore connected vehicle ecosystems, IoT architecture in vehicles, and use-cases like telematics, smart parking, and fleet management.
Module 2: Automotive Sensors, Actuators & Microcontrollers (8 Hours)
- Introduces automotive-grade sensors (temperature, pressure, proximity, speed, oxygen, fuel level) and actuators.
- Learners interface these with ESP32 or Arduino-based controllers to acquire vehicle parameters such as speed, engine temperature, and distance.
Module 3: In-Vehicle Communication Protocols (8 Hours)
- Students learn about CAN, LIN, and OBD-II communication standards used for intra-vehicle data exchange.
- They decode sensor data via serial and CAN bus, exploring diagnostic tools and ECUs for automotive networks.
Module 4: Vehicle Data Acquisition using IoT Devices (8 Hours)
- Hands-on implementation of IoT data logging using ESP32, GSM, and GPS modules.
- Learners design real-time data capture and transmission to cloud servers for monitoring engine performance, fuel usage, and route activity.
Module 5: Telematics and GPS-based Vehicle Tracking (10 Hours)
- Design and implement telematics systems integrating GPS + GSM for vehicle tracking and telemetry.
- Learners build dashboards to display live vehicle position, route history, and alerts for over-speeding or geo-fence violations.
Module 6: Cloud Integration and Dashboard Development (10 Hours)
- Covers IoT cloud platforms like Firebase, ThingsBoard, Blynk, or AWS IoT Core.
- Students upload real-time sensor and GPS data to the cloud and create dashboards for vehicle analytics, trip reports, and remote monitoring.
Module 7: Predictive Maintenance & Vehicle Health Monitoring (8 Hours)
- Focuses on analyzing data to predict faults or maintenance needs.
- Learners use Python/Excel to interpret temperature, vibration, and performance trends.
- They develop simple rule-based or ML-based predictive models for vehicle health.
Module 8: Smart Mobility, EV Integration, and V2X Communication (8 Hours)
- Explores future trends — Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), and smart traffic management.
- Introduces EV monitoring (battery SoC, temperature) and integration of IoT with electric vehicle BMS and chargers.
Module 9: Case Studies & Capstone Project (6 Hours)
Learners apply knowledge to real-world projects such as:
- GPS + IoT-based Smart Vehicle Tracker
- Cloud-Connected Vehicle Health Dashboard
- IoT-Based EV Battery Monitoring System
Module 10: Assessment & Certification
- Includes final project presentation, viva, and online test. Certified participants demonstrate hands-on skills in IoT applications for modern automotive systems.
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With over a decade of experience, our mission is to produce future-ready skilled resources.
IoT-Based Temperature Monitoring System
Learn how smart temperature sensors communicate real-time data through the Internet of Things (IoT) to enable intelligent monitoring and control. From designing sensor networks to visualizing temperature data on cloud dashboards, this topic shows how technology transforms ordinary sensors into smart, data-driven systems used in homes, industries, and healthcare applications.
Job Opportunities
Here are some interesting job opportunities after completing the IoT in Automobiles course:
Sensor Design Engineer – Develop and optimize temperature sensors for accuracy, reliability, and performance.
IoT System Developer – Integrate smart sensors into IoT networks for real-time data collection and analysis.
Embedded Systems Engineer – Program microcontrollers and hardware interfaces to control smart temperature devices.
Data Analyst (IoT Applications) – Interpret and visualize sensor data for intelligent decision-making in smart systems.
Automation & Control Engineer – Implement temperature-based control systems in industrial and environmental settings.
Smart Home Solutions Developer – Design innovative smart home devices using temperature sensors for energy efficiency and comfort.
Research & Development Associate – Work on next-generation sensor technologies and their applications in climate, healthcare, and manufacturing.
Frequently asked questions
Who can join this course?
Anyone interested in electronics, IoT, or smart technologies — students, hobbyists, and beginners are all welcome!
What will I learn in this course?
You’ll learn how temperature sensors work, how to interface them with microcontrollers, and how to build smart applications that monitor and control temperature.
Do I need programming skills to start this course?
No, the course starts from the basics. You’ll gradually learn simple coding and circuit concepts along the way.
Will there be any practical projects?
Yes! You’ll create a smart temperature monitoring system as a hands-on project to apply what you’ve learned.
How long does the course take to complete?
The course is designed to be completed in a few weeks, depending on your pace and practice time.
What can I do after finishing this course?
You can apply your skills in IoT projects, work with embedded systems, or pursue roles related to smart devices and automation.