Winter Bootcamp in ML and IoT in Jaipur
 Course content (For Bootcamp & Winter Training):- Machine Learning (ML) || Internet of Things (IoT) || Register for winter bootcamp
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Hardware requirements:

  1.        Raspberry-PI
  2.        Power adepter
  3.        SD Card (Minimum 16 GB, with OS for Raspberry-PI)
  4.        3 standard 5 Mm LEDs
  5.        3, (270 OHM) Registers to connect these LEDs to RASPBERRY-PI
  6.        4 Jumper wires (Male to Female; Female end to connect with RASPBERRT-PI; Male end to connect with breadboard)

LED GPIO Connection

LED connection with Raspberry-PI's GPIO

1.       First connect pin no 7 of RASPBERRY-PI to breadboard using Jumper wire.

2.       Breadboard connections:- the top and bottom rows of holes are connected horizontally while the remaining holes are connected vertically.

3.       For LED long end is Positive and short end is negative.

4.       So longer end of LED will connect to GPIO pin no. 7 of RASPBERRY-PI.

5.       Now take a register and connect it to negative end of LED.

6.       Now take a jumper wire and connect it to negative end of LED to RASPBERRY-PI’s ground through register.


7.       In same way connect 2nd & 3rd LED to RASPBERRY-PI.

Python Program

 Import RPi.GPIO as GPIO  # Install Raspbian from latest NOOBS to ensure you have the GPIO library

Import time   #  importing "time" module for time operations


GPIO.setup(7,GPIO.OUT)  # it will use 7 no. Pin of RASPBERRY-PI as output.

GPIO.setup(11,GPIO.OUT)  # it will use 11 no. Pin of RASPBERRY-PI as output.

GPIO.setup(13,GPIO.OUT)  # it will use 13 no. Pin of RASPBERRY-PI as output.

For x in range(0,7):






        GPIO.output(11, False)



        GPIO.output(13, False)


Winter 10 Days boot-camp classes(7 HRS Daily) will start from 5, 20 & 27 December 2019 in:
1) Internet of things(IoT) Using RASPBERRY-PI
2) Machine Learning (ML)

70% OFF| Fee-INR 3,000/-

Limited seats!! Hurry up!!

[[ CALL - 07976731765 ]]

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