Robotics Intermediate 2

Robotics Intermediate Module 2 – IoT Fundamentals: Sensors to Cloud

Course Code: HIA/ROBOTICS/IOT02
(Institute / Category / Course)

Duration: 1 Month
Level: Intermediate
Prerequisite: Arduino Fundamentals & Basic Robotics Knowledge

What you'll learn

• Understand Internet of Things (IoT) concepts
• Connect microcontrollers to Wi-Fi networks
• Send real-time sensor data to cloud platforms
• Build simple IoT dashboards and monitoring systems
• Read and visualize sensor values remotely
• Combine robotics, sensors, and cloud communication

This course includes:

• 1 Final IoT Monitoring Project
• 12–16 Hours Live Practical Classes
• Online / Onsite (Physical)
• IoT Dashboard Practice
• Sensor & Cloud Integration Labs
• Certificate of Completion

Course Content

Introduction to IoT

• What is IoT (Internet of Things)?
• Real-world IoT applications:

• Smart homes
• Smart agriculture
• Industrial automation
• Environmental monitoring
  • Understanding:
• Sensors
• Devices
• Cloud platforms
• Dashboards
  • IoT communication workflow basics

Using:
• ESP8266

ESP8266 Wi-Fi Fundamentals

• Introduction to Wi-Fi-enabled microcontrollers
• Connecting ESP8266 to Wi-Fi networks
• Understanding:

• SSID
• Password authentication
• IP addresses
  • Sending and receiving data through internet connections
  • Serial Monitor debugging for Wi-Fi connections

Sensor Integration

• Connecting sensors to ESP8266
• Reading environmental data from:

• Temperature sensors
• Humidity sensors
• Ultrasonic distance sensors
  • Understanding analog and digital sensor inputs
  • Displaying live sensor values

Using:
• DHT11
• HC-SR04

Sending Data to the Cloud

• Introduction to IoT cloud platforms
• Sending sensor data to online dashboards
• Understanding:

• API keys
• Data channels
• Cloud updates
  • Real-time monitoring concepts

Using:
• ThingSpeak
• Blynk

Building IoT Dashboards

• Creating simple cloud dashboards
• Displaying:

• Temperature
• Humidity
• Distance data
  • Real-time graphs and widgets
  • Monitoring sensor data remotely using mobile or web dashboards

IoT Logic & Automation Basics

• Combining sensors with automation logic
• Creating threshold-based alerts
• Example scenarios:

• Temperature warning system
• Distance alert system
• Smart room monitoring
  • Introduction to remote monitoring systems

Example sensor concept:

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Mini Practice Activities

• Wi-Fi connection testing
• Sending sensor values to cloud dashboards
• Real-time temperature monitoring
• Distance monitoring system
• Mobile dashboard visualization

Final Project

Project: Smart IoT Monitoring System

Features:

• ESP8266 Wi-Fi connectivity
• Real-time sensor monitoring
• Cloud data updates
• Mobile/web dashboard display
• Temperature, humidity, or distance monitoring system

Requirements

• Basic Arduino knowledge recommended
• Laptop/PC with internet connection
• Smartphone optional for dashboard testing

Description

This course introduces students to Internet of Things (IoT) systems using ESP8266 Wi-Fi microcontrollers and cloud platforms. Students will learn how sensors communicate with online dashboards and how IoT systems collect and visualize real-time data.

By the end of this program, learners will be able to create simple connected IoT systems with live cloud monitoring capabilities.

Why Choose This Course?

• Beginner-friendly IoT learning path
• Real cloud-connected projects
• Practical sensor and Wi-Fi integration
• Hands-on dashboard creation experience

Activities During Class

• Connecting ESP8266 to Wi-Fi
• Reading live sensor data
• Sending information to cloud platforms
• Creating IoT dashboards
• Monitoring real-time environmental values

Who Is This Course For?

• Robotics and Arduino learners
• IoT beginners
• STEM and automation students
• Future smart systems developers

Course Highlights

• ESP8266 Wi-Fi Programming
• Sensor-to-Cloud Communication
• ThingSpeak & Blynk Dashboards
• Temperature & Humidity Monitoring
• Real-Time IoT Visualization
• Basic Automation Logic

🌐 Final Outcome

Students will be able to:
• Connect IoT devices to Wi-Fi networks
• Read and process sensor data
• Send live data to cloud platforms
• Build IoT monitoring dashboards
• Create simple smart monitoring systems
• Understand foundational IoT architecture