Practical IoT education across India
Explore practical IoT training covering Arduino, ESP32, Raspberry Pi, sensors, embedded systems, wireless communication, cloud integration, and Industrial IoT. Choose a learning path that matches your current knowledge and technical goals.
Course discovery
Filter by level or topic. Every course lists its syllabus, prerequisites, tools and projects. Fees are confirmed on request.
Showing all 12 courses
Understand how IoT systems work, from sensors and microcontrollers to networks, cloud platforms and dashboards, with simple hands-on exercises.
IoT Fundamentals
Learn Arduino programming, sensor and actuator interfacing, and build reliable microcontroller projects you can later connect to the internet.
Embedded Systems / IoT Fundamentals
Build Wi-Fi and Bluetooth connected devices with ESP32 and ESP8266, send data with MQTT and HTTP, and design reliable wireless IoT nodes.
Embedded Systems / Wireless IoT
Use Raspberry Pi and Python to read sensors, build gateways, run services and connect edge devices to dashboards and the cloud.
Cloud and Software / Embedded Systems
An end-to-end IoT course covering sensors, firmware, connectivity, cloud integration, dashboards, security basics and a full project.
Cloud and Software / IoT Fundamentals / Wireless IoT
Understand how IoT applies to factories and machines: sensors, protocols such as Modbus and OPC UA, gateways, SCADA and condition monitoring.
Industrial IoT
Design and build home-automation systems: relay control, sensors, scenes, voice-assistant integration concepts and safe mains-voltage practice.
Projects and Internship / Wireless IoT
Build IoT systems for farms and greenhouses: soil moisture, weather and water monitoring, irrigation control and low-power remote nodes.
Projects and Internship / Wireless IoT
Learn IoT for urban and environmental monitoring: air quality, noise, water and waste use cases, sensor networks and open-data dashboards.
Cloud and Software / Wireless IoT
Combine IoT data with machine learning: sensor data preparation, anomaly detection, forecasting basics and edge-inference concepts.
Cloud and Software
Learn embedded C, microcontroller peripherals, interrupts, RTOS concepts and structured firmware design for reliable devices.
Embedded Systems
Guided IoT project development for final-year and pre-final-year students: topic selection, design, build, testing, report writing and demonstration.
Projects and Internship
No courses match these filters.
Choose your learning path
Each path states its prerequisites and the sensible next step, so you always know what to learn next.
Complete beginners who want to understand what IoT is before touching hardware.
Prerequisites: No prior knowledge required. Basic computer use is enough.
Next: Move to Arduino to build your first working circuits.
Students who want to build sensor-based devices and connect them to Wi-Fi.
Prerequisites: Basic electronics vocabulary helps; the fundamentals course covers the rest.
Next: Add MQTT and Node-RED to send device data to a live dashboard.
Learners comfortable with basic programming who want gateways, edge devices and Linux-based IoT.
Prerequisites: Basic programming logic in any language.
Next: Combine gateway and cloud skills in the complete IoT development course.
Learners who want to take a project from sensor to cloud dashboard.
Prerequisites: Comfort with Arduino or ESP32 basics and simple Python or C/C++.
Next: Apply the full stack in a documented project.
Electronics and computer-science students who want firmware and microcontroller depth.
Prerequisites: Basic C programming and digital electronics concepts.
Next: Study communication stacks and low-power design.
Diploma and engineering learners interested in factories, machines and monitoring.
Prerequisites: Basic electrical or electronics knowledge and an interest in automation.
Next: Study PLC and SCADA integration with IoT gateways.
Final-year and pre-final-year students who need a working, documented project.
Prerequisites: A project topic or willingness to choose one with guidance.
Next: Document the project with a report and demonstration plan.
Learners who already build IoT systems and want to add data analysis and edge intelligence.
Prerequisites: Python basics and an IoT project or course completed.
Next: Explore anomaly detection and predictive maintenance concepts.
What you will learn
Topics are grouped by layer. Courses cover the groups that are relevant to them.
Devices, gateways, networks, cloud platforms and applications; how the layers fit together.
Temperature, humidity, distance, motion, soil moisture, relays, motors and signal conditioning.
Microcontroller programming, GPIO, ADC, PWM, timers, interrupts and Wi-Fi connectivity.
Linux basics, GPIO programming, serial and I2C devices, scripts and services.
Memory, registers, peripherals, state machines and structuring firmware.
Wi-Fi, Bluetooth Low Energy and LoRaWAN concepts, range, power and data-rate trade-offs.
Publish/subscribe messaging, REST endpoints, JSON payloads and authentication basics.
Brokers, device registries, time-series storage and device-to-cloud data flow.
Node-RED flows, gauges, charts, alerts and basic reporting.
Secure credentials, TLS, firmware updates, device identity and common attack surfaces.
Modbus, OPC UA concepts, PLC and SCADA integration and gateway design.
Sensor data cleaning, anomaly detection, forecasting basics and edge inference concepts.
Not every technology is covered in every course. Each course page lists exactly what that course teaches.
Practical projects
Sample project concepts. These are example project ideas used for teaching and planning, not a record of projects completed by students.
Read a temperature and humidity sensor, show values locally and publish them to a simple dashboard.
Typical stack: ESP32, DHT22 or SHT31, MQTT
Switch relays from a phone or web page and add schedules and manual overrides.
Typical stack: ESP32, relay module, web server
Measure soil moisture, log readings and trigger a pump with simple threshold and hysteresis logic.
Typical stack: ESP32, capacitive soil sensor, pump relay
Track tank level with an ultrasonic or pressure sensor and raise alerts at configurable levels.
Typical stack: Arduino or ESP32, ultrasonic sensor, buzzer
Publish sensor topics to a broker and visualise live data in Node-RED.
Typical stack: ESP32, MQTT broker, Node-RED
Collect data from several nodes, buffer it locally and forward it to a cloud endpoint.
Typical stack: Raspberry Pi, Python, MQTT
Monitor vibration and temperature on a demo motor and show health indicators on a dashboard.
Typical stack: ESP32, accelerometer, Modbus or MQTT
Detect unusual sensor behaviour with statistical thresholds and a simple model.
Typical stack: Python, pandas, scikit-learn
Who can enroll
Each course page lists eligibility and prerequisites so you can check suitability before you enquire.
Electronics, electrical, computer-science and mechatronics students who want practical depth beyond the classroom syllabus.
Polytechnic learners looking for hands-on microcontroller and automation skills.
Programming-oriented learners who want to connect code to real hardware.
Students who need a guided, documented IoT project for their academic submission.
Recent graduates building a practical portfolio before applying for entry-level roles.
IT, electronics and automation professionals extending their skill set into IoT.
Hobbyists who already tinker with Arduino or ESP32 and want structure.
Anyone curious about IoT. The fundamentals course lists its prerequisites clearly.
How training works
Browse the catalog and shortlist the course that matches your current knowledge and goals.
Tell the training team about your background and what you want to build or achieve.
Confirm syllabus, eligibility, duration, fees and batch availability before you commit.
Enroll through the approved process. An enquiry alone does not complete enrollment.
Attend sessions and complete the practical assignments in the plan.
Complete the course project or assessment relevant to your course.
Fee benefits
Looking for practical IoT training that fits your learning goals and budget? Contact our team to check the current fee, available offers, batch options, and course details for your preferred program.
Special fee benefits may be available on selected courses. Contact us to confirm the current offer and applicable conditions.
What we confirm for you
From the learning desk
New tutorials and guides, a project idea that changes every day and a topic that changes every week.
IoT Fundamentals
A semester-by-semester IoT roadmap for engineering and diploma students, from electronics basics to a documented project.
IoT Fundamentals
Sensors turn physical conditions into signals; actuators turn commands into action. Learn the common types, how they connect and how to choose one.
IoT Fundamentals
Follow one temperature reading from a sensor to a dashboard and back to an actuator, and see what happens at every step of an IoT system.
Project idea of the day
Monitor vibration and temperature on a demo motor and show health indicators on a dashboard.
Typical stack: ESP32, accelerometer, Modbus or MQTT
Advanced Learn it in Industrial IoT (IIoT) Training
Changes daily · 16 October 2026
Topic of the week
Sensor data cleaning, anomaly detection, forecasting basics and edge inference concepts.
Changes weekly
City guides
Learners in every city follow the same online courses. Each city guide explains delivery, suggests a learning path and lists project themes for that city.
50 city guides published · 50 more scheduled
FAQs
IoT training teaches how connected devices are built and used: sensors and actuators, microcontrollers such as Arduino and ESP32, communication protocols such as MQTT, cloud and dashboard integration, and increasingly security and analytics. Good IoT training combines concepts with hands-on exercises.
Engineering, diploma, BCA and B.Sc. IT students, freshers, working professionals and electronics hobbyists can all learn IoT. Each course page lists its own prerequisites, so beginners can start with IoT Fundamentals and move on step by step.
Not for the fundamentals course. Programming is introduced gradually in the Arduino and ESP32 courses. Raspberry Pi and AIoT courses assume basic programming logic.
Complete beginners should start with IoT Fundamentals, then Arduino, then ESP32. If you already know programming, Raspberry Pi with Python may be a good entry point. The learning paths page maps each route and its prerequisites.
Embedded systems is the discipline of building computing into devices, with a focus on firmware and hardware. IoT adds connectivity, cloud services and data applications on top of embedded devices. Many IoT products need both skill sets.
A low-cost starter kit with a microcontroller board, a few sensors and a breadboard is enough to begin. Free simulators and local MQTT brokers let you practise the software side without any cloud subscription.
Get started
Tell us about your background and learning goals. Our training team can help you explore suitable courses, understand the syllabus, and check available training options.