Week 1: IoT Fundamentals (Days 1–7)

📍 Day 1 – Introduction to IoT

• What is IoT?
• Components: sensors, actuators, network, cloud
• Applications of IoT in health, home, industry

📍 Day 2 – IoT Architecture

• Sensing layer
• Network layer
• Data processing layer
• Application layer

📍 Day 3 – Sensors & Actuators

• Analog vs digital sensors
• Common sensors: temp, humidity, IR, PIR, gas
• Output devices: LED, buzzer, relay, motor

📍 Day 4 – Microcontrollers

• Arduino UNO overview
• GPIO pins, analog/digital I/O
• Programming Arduino (basic sketch structure)

📍 Day 5 – Hands-on with Arduino

• Blink LED
• Read sensor values (e.g., temperature)
• Display on Serial Monitor

📍 Day 6 – Communication Protocols

• UART, SPI, I2C basics
• Analog vs digital signals
• Hands-on: multiple sensor interfacing

📍 Day 7 – IoT Communication Technologies

• WiFi, Bluetooth, ZigBee, LoRa, NFC
• Use cases of each
• Intro to ESP8266 (NodeMCU)

Week 2: Connectivity, Cloud & Projects (Days 8–14)

📍 Day 8 – Working with NodeMCU (ESP8266)

• Setup and install
• Connect to WiFi
• Simple data upload

📍 Day 9 – IoT with Blynk

• Install Blynk app
• ESP8266 + Blynk setup
• Control LED from smartphone

📍 Day 10 – IoT with MQTT Protocol

• What is MQTT?
• Install Mosquitto Broker
• Publish/Subscribe example

📍 Day 11 – IoT with ThingSpeak Cloud

• Send sensor data to ThingSpeak
• Plot live graphs
• Hands-on: Temp monitor to cloud

📍 Day 12 – IoT with Google Firebase

• Firebase setup
• Send/receive data using ESP8266
• Real-time database

📍 Day 13 – Home Automation Project

• Control appliances via phone
• Relay + ESP8266
• Voice control with Google Assistant (optional)

📍 Day 14 – Security in IoT

• Data privacy, encryption
• Network attacks
• Secure firmware updates

Week 3: Advanced Concepts & Final Projects (Days 15–21)

📍 Day 15 – IoT with Raspberry Pi (Intro)

• Pi vs Arduino
• Raspbian OS, SSH
• GPIO basics, blink LED

📍 Day 16 – Python with Raspberry Pi

• Python scripts to read sensors
• Connect to cloud from Pi
• Camera module basics

📍 Day 17 – AI + IoT Intro

• Smart systems (face detection, voice)
• Deploy ML model on Raspberry Pi
• Use-case: Intruder detection

📍 Day 18 – IoT Data Analytics

• Collect and log data
• Simple dashboard (using Excel or Grafana)
• Analyze trends, anomalies

📍 Day 19 – Final Project Planning

• Smart home automation system
• Weather monitoring station with cloud
• IoT-based health tracker
• Smart agriculture (soil moisture + pump control)

📍 Day 20 – Final Project Implementation

• Build, test, debug
• Document code & circuit
• Present results

📍 Day 21 – Review & Deployment

• Revise major topics
• How to deploy IoT products
• Career in IoT: roles, certifications

🧰 Tools & Hardware You’ll Use

• Arduino UNO
• NodeMCU ESP8266
• Raspberry Pi (optional)
• Sensors: DHT11, LDR, IR, gas, ultrasonic
• Relay module
• Blynk, ThingSpeak, Firebase, MQTT