// Arduino — read a temperature sensor (DHT11)
#include <DHT.h>

#define DHTPIN 4
#define DHTTYPE DHT11

DHT dht(DHTPIN, DHTTYPE);

void setup() {
  Serial.begin(9600);
  dht.begin();
}

void loop() {
  float t = dht.readTemperature();
  float h = dht.readHumidity();

  if (isnan(t) || isnan(h)) {
    Serial.println("Sensor error");
  } else {
    Serial.print("Temp: "); Serial.print(t);
    Serial.print(" C, Humidity: "); Serial.println(h);
  }
  delay(2000);
}

// ESP32 — publish sensor data to an MQTT broker
#include <WiFi.h>
#include <PubSubClient.h>

const char* ssid = "YOUR_WIFI";
const char* pass = "YOUR_PASS";
const char* broker = "broker.hivemq.com";

WiFiClient espClient;
PubSubClient client(espClient);

void setup() {
  Serial.begin(115200);
  WiFi.begin(ssid, pass);
  while (WiFi.status() != WL_CONNECTED) delay(500);

  client.setServer(broker, 1883);
}

void loop() {
  if (!client.connected()) {
    client.connect("uncodemy-device-1");
  }
  client.loop();

  float temp = readTemperature();   // your function
  String payload = String("{\"temp\":") + temp + "}";
  client.publish("uncodemy/iot/data", payload.c_str());

  delay(5000);
}

# Raspberry Pi — read a sensor and post to an API
import time
import requests
from gpiozero import MCP3008

sensor = MCP3008(channel=0)

API_URL = "https://api.example.com/iot/readings"

while True:
    value = sensor.value         # 0.0 to 1.0
    temperature = value * 100    # simple conversion

    payload = {"device": "pi-01", "temp": temperature}
    try:
        r = requests.post(API_URL, json=payload, timeout=5)
        print("Sent:", r.status_code, temperature)
    except Exception as e:
        print("Error:", e)

    time.sleep(5)

IoT course — fee breakdown (typical):
Course fee:            ₹32,000
Hardware kit:          Included (campus batch)
Study material:        Included
Certification exams:   Included
Mock interviews:       Included
Placement support:     Included
EMI (9 months):        ~₹3,556 / month

Weekend batches may include an extra lab-hour premium.

Batch comparison:
Weekday   — 4 months, 2 hrs/day
             Best for students and freshers

Weekend   — 6 months, 4 hrs/day
             Best for working professionals

Online    — 4–6 months, live sessions
             Best for out-of-city learners

All batches use the same syllabus and labs.

Capstone — Smart home monitoring
1. DHT11 + PIR sensors on ESP32
2. Publish to MQTT broker
3. AWS IoT Core → DynamoDB
4. Grafana dashboard for live temp/humidity
5. Alerts when motion is detected
6. README + 2-min demo video

Skills shown: sensors, MQTT, cloud, dashboards.

Capstone — Smart agriculture node
1. Soil moisture + light sensors on Arduino
2. Raspberry Pi gateway with Python
3. Sends data to a REST API
4. Dashboard shows 24-hour trends
5. Automatic watering trigger (relay)
6. Full documentation on GitHub

Skills shown: embedded + edge + cloud + UI.

Typical career paths after the IoT course:
- IoT Developer (₹4–7 LPA entry)
- Embedded Software Engineer (₹4–8 LPA)
- IoT Support Engineer (₹3.5–6 LPA)
- IoT Analyst (₹4–7 LPA)
- Cloud IoT Engineer (₹5–9 LPA, after 1-2 yrs)

Cities hiring: Gurugram, Noida, Bengaluru, Pune,
               Hyderabad, Chennai.

Interview checklist after the course:
☐ Portfolio project live (GitHub + demo)
☐ Two smaller projects documented
☐ README for each project with photos
☐ One-page resume tailored to IoT roles
☐ LinkedIn with "Open to Work"
☐ Two mock interviews completed
☐ Can explain MQTT vs HTTP
☐ Can explain security basics (TLS, IAM)