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IoT Project Development

The IoT Project Development Internship Course offers hands-on experience in building real-world Internet of Things (IoT) applications.

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OVERVIEW

Learn IoT Project Development today

The IoT Project Development Internship Course offers hands-on experience in building real-world Internet of Things (IoT) applications. Participants will learn the fundamentals of IoT, including sensor integration, microcontroller programming, and cloud connectivity. The course focuses on designing and developing end-to-end IoT projects, from concept to implementation, while utilizing platforms like Arduino, NodeMCU, and Raspberry Pi. Ideal for students and professionals looking to gain practical skills and knowledge in the growing field of IoT.

Protocols

Server

Micro-controllers

Sensors

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Course Curriculum

Discover our comprehensive Web Development course curriculum, designed to provide in-depth knowledge and practical skills.

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Introduction to IoT

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  1. Overview of IoT concepts and applications
  2. Understanding IoT architecture and components
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Setting Up Your IoT Environment

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  1. Installing Arduino IDE and necessary libraries
  2. Introduction to IoT development boards (ESP8266/ESP32)
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Basics of Networking

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  1. Introduction to networking concepts: IP addresses, HTTP, and MQTT
  2. Understanding client-server model in IoT
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Getting Started with Wi-Fi Modules

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  1. Overview of Wi-Fi modules (e.g., ESP8266/ESP32)
  2. Connecting your Wi-Fi module to the Arduino IDE
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Connecting to Wi-Fi

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  1. Writing a sketch to connect your board to a Wi-Fi network
  2. Using the Serial Monitor to debug connection issues
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Sending Data Over HTTP

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  1. Introduction to HTTP requests (GET and POST)
  2. Sending data from Arduino to a web server using HTTP
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Review and Mini Project

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  1. Review of the week’s concepts
  2. Mini project: Create a simple web server to display sensor data
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Introduction to MQTT

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  1. Understanding MQTT protocol and its use in IoT
  2. Setting up an MQTT broker (e.g., Mosquitto)
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Connecting to an MQTT Broker

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  1. Writing a sketch to connect to an MQTT broker
  2. Publishing and subscribing to MQTT topics
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Handling Sensor Data

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  1. Connecting and reading data from sensors (e.g., temperature, humidity)
  2. Formatting and sending sensor data over MQTT
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Data Storage Solutions

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  1. Introduction to data storage options: SD cards, cloud services
  2. Logging data to an SD card with Arduino
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Cloud Integration Basics

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  1. Overview of popular cloud platforms (e.g., ThingSpeak, Blynk, Adafruit IO)
  2. Setting up an account and integrating with Arduino
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Sending Data to the Cloud

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  1. Writing a sketch to send data from Arduino to a cloud platform
  2. Visualizing data on the cloud dashboard
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Review and Intermediate Project

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  1. Review of concepts from the week
  2. Mini project: Build a weather monitoring system that sends data to the cloud
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Introduction to IoT Security

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  1. Understanding IoT security basics and best practices
  2. Implementing basic security measures (e.g., HTTPS, API keys)
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Working with Actuators

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  1. Introduction to actuators (e.g., motors, relays)
  2. Controlling actuators from IoT devices
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Home Automation Basics

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  1. Understanding home automation concepts
  2. Setting up and controlling home devices (e.g., lights, appliances)
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Building an IoT Home Automation System

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  1. Creating a project to control home devices remotely via a web interface or mobile app
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Introduction to Edge Computing

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  1. Overview of edge computing and its role in IoT
  2. Implementing basic edge computing concepts with Arduino and IoT devices
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Integrating Multiple Sensors

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  1. Combining multiple sensors in a single IoT project
  2. Managing and visualizing complex sensor data
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Review and Complex Project

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  1. Review of concepts from the week
  2. Mini project: Create a multi-sensor system with remote monitoring and control
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Advanced Cloud Services

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  1. Exploring advanced features of cloud services (e.g., real-time data, analytics)
  2. Implementing advanced cloud integration with Arduino
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Introduction to Machine Learning in IoT

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  1. Overview of machine learning concepts and their application in IoT
  2. Basic example of integrating machine learning with Arduino
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Building an IoT Dashboard

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  1. Designing and creating a custom dashboard to display and control IoT devices
  2. Using tools like Node-RED or custom web interfaces
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Working with IoT Protocols

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  1. Exploring additional IoT protocols (e.g., CoAP, LwM2M)
  2. Implementing these protocols in Arduino projects
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Final Project Planning

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  1. Designing and planning a comprehensive final project
  2. Examples: Smart garden, security system, environmental monitoring
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Final Project Build

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  1. Building and testing your final IoT project
  2. Troubleshooting and refining the project
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Final Project Presentation and Review

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  1. Presenting your final project
  2. Reviewing the entire course material
  3. Discussing further learning paths and advanced topics

Meet our team of creative experts

Meet the talented and creative minds behind our work. Our mentors bring a wealth of experience and a passion for innovation to every mentorship course.

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Sparkovation Hub

Upon successfully completing this course, you will receive a certificate of completion that helps potential employers assess your proficiency.

Pricing Plans

LExperience the premium features at an affordable price. Get industrial experience, 10+ live working projects and mentorship from top 1 percentile mentors and much more. Choose the plan that suits your needs and take your practical and outcome based learning to the next level. Join today and lead tomorrow.