Electrical Course

Internet of Things

Build Smart Connected Systems with Arduino, ESP32, Raspberry Pi & Cloud IoT

The Internet of Things (IoT) is transforming industries by connecting devices, sensors, and cloud platforms to automate processes and enable real-time decision-making. This hands-on training program is designed for students, graduates, engineers, and technology enthusiasts who want to develop practical IoT applications from scratch.

Throughout this course, participants will learn electronics fundamentals, embedded programming, wireless communication, cloud integration, Raspberry Pi, MQTT, Python, and IoT data analytics through real-world projects. The syllabus progresses from basic concepts to advanced IoT system implementation using Arduino, NodeMCU (ESP8266), Raspberry Pi, ThingSpeak, MQTT, and Python. 

Course Overview

  • Duration: 56 Hours (14 Days × 4 Hours) 
  • Mode: Offline / Online 
  • Level: Beginner to Intermediate 
  • Practical Sessions: Yes 
  • Certificate: Course Completion Certificate 
Who Should Join?

This course is ideal for:

  •  Electrical & Electronic Engineering (EEE) Students 
  •  Computer Science (CSE) Students 
  •  Mechatronics & Robotics Students 
  •  Diploma Engineering Students 
  •  IoT & Embedded System Enthusiasts 
  •  Fresh Graduates 
  •  Engineers interested in Smart Automation 
What You Will Learn

Module 1: Electronics & IoT Fundamentals

  •  Basics of Electronics 
  •  Introduction to IoT 
  •  IoT Architecture 
  •  Components of IoT Systems 
  •  Embedded System Fundamentals 
Module 2: Arduino Programming

  •  Arduino IDE Installation 
  •  Arduino Programming Basics 
  •  Variables, Functions & Logic 
  •  Digital & Analog I/O 
  •  LED and Breadboard Projects 
Module 3: Sensors & Communication

  •  Serial Communication (UART & USB) 
  •  Sensor Interfacing 
  •  Infrared Proximity Sensor 
  •  Data Representation Techniques 
Module 4: Wireless IoT Communication

  •  TCP/IP Protocol 
  •  OSI Model 
  •  Bluetooth Communication 
  •  HC-05 Bluetooth Module 
  •  Device-to-Device Communication 
Module 5: Wi-Fi Based IoT

  •  NodeMCU (ESP8266) 
  •  DHT11 Temperature Sensor 
  •  Connecting IoT Devices to Wi-Fi 
  •  Real-Time Data Acquisition 
Module 6: Cloud IoT

  •  Introduction to Cloud Computing 
  •  ThingSpeak Platform 
  •  API Keys & Channels 
  •  Live Sensor Data Upload 
  •  Cloud Data Visualization 
Module 7: ESP8266 Advanced Applications

  •  ESP8266 Architecture 
  •  AT Commands 
  •  TCP Client Implementation 
  •  Arduino + ESP8266 Integration 
  •  Remote Monitoring 
Module 8: Remote IoT Control

  •  REST API Basics 
  •  ThingSpeak TalkBack 
  •  Mobile & PC Based Device Control 
Module 9: Python for IoT

  •  Python Installation 
  •  Variables & Operators 
  •  Functions 
  •  Data Structures 
  •  Modules 
  •  Control Flow 
Module 10: Raspberry Pi as IoT Gateway

  •  Raspberry Pi Setup 
  •  Python CGI 
  •  Client-Server Architecture 
  •  VNC Configuration 
  •  Raspberry Pi Web Server 
Module 11: Cloud Integration

  •  Raspberry Pi Cloud Communication 
  •  PubNub Cloud Platform 
  •  Publisher-Subscriber Model 
  •  Cloud Data Management 
Module 12: MQTT Communication

  •  MQTT Protocol 
  •  Broker & Client Architecture 
  •  Machine-to-Machine Communication 
  •  MQTT Broker using Raspberry Pi 
Module 13: IoT Data Analytics

  •  Python for Data Analysis 
  •  NumPy 
  •  Pandas 
  •  Matplotlib 
  •  SciPy 
  •  Scikit-learn 
  •  Jupyter Notebook 
  •  Anaconda Environment 
The course structure follows a 14-day progression from IoT fundamentals to data analytics using Python libraries and cloud-based IoT platforms. 

Hands-on Projects

Students will develop practical IoT applications including:

  •  Smart Temperature Monitoring System 
  •  Bluetooth-Based Home Automation 
  •  Wi-Fi Sensor Monitoring 
  •  ThingSpeak Cloud Dashboard 
  •  ESP8266 Remote Monitoring System 
  •  Raspberry Pi IoT Gateway 
  •  MQTT-Based Smart Communication 
  •  Cloud-Based Real-Time Data Logger 

Software & Hardware Covered

Software

  •  Arduino IDE 
  •  Python 
  •  Jupyter Notebook 
  •  Anaconda 
  •  ThingSpeak 
  •  PubNub 
  •  VNC Viewer 
Hardware

  •  Arduino Mega 
  •  NodeMCU (ESP8266) 
  •  Raspberry Pi 
  •  HC-05 Bluetooth Module 
  •  DHT11 Temperature Sensor 
  •  Infrared Sensor 
  •  Breadboard & Electronic Components 

Learning Outcomes

After completing this course, you will be able to:

  •  Design complete IoT systems from scratch. 
  •  Program Arduino and ESP8266 boards. 
  •  Interface sensors with embedded systems. 
  •  Connect devices to cloud platforms. 
  •  Build Wi-Fi-enabled smart applications. 
  •  Configure Raspberry Pi as an IoT gateway. 
  •  Implement MQTT communication. 
  •  Analyze IoT data using Python. 
  •  Develop real-world IoT monitoring and automation projects. 
  •  Prepare for careers in Embedded Systems, Smart Automation, Industrial IoT, and Industry 4.0. 

Career Opportunities

After completing this course, you can pursue roles such as:

  •  IoT Engineer 
  •  Embedded Systems Engineer 
  •  Automation Engineer 
  •  Smart Home Solution Developer 
  •  Industrial IoT Engineer 
  •  Firmware Developer 
  •  Robotics Engineer 
  •  Research Assistant (IoT & Embedded Systems) 
Why Choose This Course?

  •  ✔ 100% Practical Learning 
  •  ✔ Industry-Oriented Curriculum 
  •  ✔ Real Hardware Experience 
  •  ✔ Cloud IoT Integration 
  •  ✔ Project-Based Learning 
  •  ✔ Experienced Instructor Support 
  •  ✔ Career Guidance 
  •  ✔ Certificate Upon Completion 

Enroll Now Learn More
Electrical Courses
40+
Instructional Hours

Why Choose This AI & ML Course?

Course Overview

Our comprehensive course curriculum covers everything from fundamentals to advanced techniques, preparing you for a successful career.

40
Instructional Hours
14.00
Comprehensive Modules
40.00
Lab Hours
2.00
Capstone Project
Module Duration (Hours) Theory Lab Self-Study Tools/Software
Basics of Electronics, Introduction to IoT concepts and Technologies, Internet of Things Architecture and Implementation 4 - - -
Arduino Programming Language concepts. Introduction to Arduino Embedded Development BoardandATmega Microcontroller 4 - - -
Working with Arduino IDE 1.8.6 and programming Arduino MEGA Hardware. Interfacing Arduinowith LED, Breadboard. Data Representation concepts. 4 - - -
Serial Communication – UART Protocol, USB Protocol. UART to USB Conversion. WorkingwithSerial ports in Arduino. Introduction to Sensors and Concepts. InfraRed Proximity Sensor Principles, working and connecting with Arduino. 4 - - -
IoT Communication Wired and Wireless Protocols Layers and Protocols - TCP/IP Layer, OSI Model. IEEE Standards – Bluetooth Standards. Bluetooth Module – Working of HC05 Module, BluetoothStandards, Specifications, Protocol Stack, versions, controlling devices using Bluetooth module 4 - - -
Collecting Real time data using Temperature Sensor (DHT11) – DHT11 libraries and principle. Wireless Technologies & Standards – NodeMCU WiFi Development Boards. Connecting NodeMCUWiFi module to Internet 4 - - -
Cloud Computing – Introduction, Services and Importance in IoT. Introduction to ThingSpeakCloudand Working with ThingSpeak API Keys and Channels. Data collection from Sensors and automaticstorage in ThingSpeak Cloud using NodeMCU. 4 - - -
ESP8266 WiFi Chip – Working Principle, pin outs, connection with Arduino MEGAboard, ATCommands. Setting up TCP Client using ESP8266. Data collection from Sensors and automaticstoragein ThingSpeak Cloud using ESP8266 and Arduino MEGA. 4 - - -
Send Messages to IoT devices using Talkback. REST Client. Control IoT Devices remotely fromRESTClient in System and Mobile. 4 - - -
Python – Introduction , Environment Setup, Basic Building blocks – Variables, , Operators, IOfunctions, Data types, Control Structures, Data Structures – List, Tuple, Set, Dictionary, Functions, Modules 4 - - -
Python Common Gateway Interface – Introduction, Enabling CGI Server in Windows, ImplementingClient – Server Architecture. Raspberry Pi – Introduction, Raspberry pi as an IoT gateway, Connectingwith Raspberry pi through VNC. Make Raspberry pi as Server using Python CGI 4 - - -
Integration of Cloud with Raspberry pi as an IoT Gateway. Pubnub Cloud – Publishers and SubscribersArchitecture. Publishing data to Pubnub cloud using Raspberry pi. Real time data storage in cloudusingArduino, ESP8266 and Raspberry pi. 4 - - -
IoT Protocol - Message Queing Telemetry Transport Protocol(MQTT) – Architecture, Machine toMachine Communication. Implementing MQTT Broker using Raspberry pi 4 - - -
IoT Data Analytics – Data Analytics using Python, Introduction to Python Libraries – Matplotlib, Mayavi, NumPy, SciPy, Pandas, Scikit learn. Anaconda Installation and Data Analysis in Jupiter 4 - - -
Total Hours 56

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