COLLABORATION WITH

IBM: Internet of Things

Duration: 2 Weeks
Price: Rs 6499 (+18%GST)

Exam Objective Register Now
IBM: AI Deep Learning with TensorFlow
  1. 1. Self Paced ~ 50 Hrs
  2. 2. IBM Catalyst Certificate on successful completion
  3. 3. Unlimited lifetime access to the course

Earning Potential
  1. 1. $151,730 on an average annually.
  2. 2. Prove that you have the IoT skills it takes to build a better world. Earning your IBM: Internet of Things with TensorFlow can supply the foundation you need to build your career.
What will you learn?
  1. 1. Data Analytics and prediction
  2. 2. Security
  3. 3. Conceptualization and working of IoT
  4. 4. Machine Learning and AI
  5. 6. Capstone Project
Skills Gained
  1. 1. Watson AI, Swift, Node-RED, Bot Building, IOT
  2. 2. IBM: Internet of Things can be used to prepare for other role-based certifications like ML Scientist

Our Pricing Plan

Rs 6,499

(+18%GST)

  • Self Paced
  • Microsoft Certificate
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Program Lessons

IOT - Prerequisite

Chapter 1
  • 1.1.Introduction to course
  • 1.2.Brief Introuction to IoT
  • 1.3.IoT Architechture
  • 1.4.Embedded.System
  • 1.5.Controller & Processor
Chapter 2
  • 2.1.Creating account on Tinkercad
  • 2.2.Basic of Arduino
  • 2.3.LED
  • 2.4.Led blinking.assignment1
Chapter 3
  • 3.1.Blinking assignment Solution
  • 3.2.Serial.communication
  • 3.3.For loop
  • 3.4.User Input
  • 3.5.controlling With User Input
  • 3.6.Pushbutton LED
Chapter 4
  • 4.1.Introduction to PWM
  • 4.2.GPIO
  • 4.3.LED.Forward.voltage
  • 4.4.Potentiometer
  • 4.5.String Input Assigment solution
Chapter 5
  • 5.1.Potentiometer mapping Assigment Solution
  • 5.2.Concept of RBG
  • 5.3.Understanding breadboard
  • 5.4.RGB project
  • 5.5.Sensor Basic &.Ultrasonic sensor
  • 5.6.Ultrasonic sensor working
  • 5.7.Temperature Sensor Assignment
  • 5.8.Solution Temperature Sensor
  • 5.9.PIR Sensor
Chapter 6
  • 6.1.Introduction to Robotics
  • 6.2.DC motor & L293D
  • 6.3.Command to Motor
  • 6.4.Solution Manual command Assignment
  • 6.5.Motor
  • 6.6.Servo motor
Chapter 7
  • 7.1.Remote Control robot
  • 7.2.Obstacle Avoidance robot
  • 7.3.Obstacle Avoidance robot continue
  • 7.4.Speed control of motor
Chatper 8
  • 8.1.Introduction To IoT
  • 8.2.Component of IoT
  • 8.3.Selection of IoT Board
  • 8.4.Case study on IoT Product
Chapter 9 & 10
  • 9.1.Introduction To Thinkspeak
  • 9.2.Thinkspeak HTTP
  • 9.3.LED blinking
  • 9.4.IR.Sensor
  • 9.5.ultrasonic.Sensor
  • 9.6.Air.quality.Sensor
  • 9.7.Soil.moisture.sensor
  • 9.8.DHT11 sensor Serial monitor
Chapter 11
  • 11.1.Introduction To MIT App Inventor
  • 11.2.Speech.To.Text.App
  • 11.3.IoT.App
Chapter 12 & 13
  • 12.1.Smart.Home.automation
  • 12.2.Adafruit.dashboard
  • 12.4.Relay.application
  • 13.2.Mosquitto.process
  • 13.3.Mosquitto.project
  • 13.4.Mosquitto.Authentication
  • 13.5.Mosquitto.Authentication.continued
  • 13.6 Adafruit_MQTT
Chapter 14
  • 14.1.Introduction.To.Python.programming
  • 14.3.Python programming.1
  • 14.4.Python.programming
  • 14.5.Pycharm.installation
Chapter 15
  • 15.1.Introduction.To.Socket.Programming
  • 15.2.Server.Client.Implementation
  • 15.3.Socket.Chat.Room
  • 15.4. UART & I2C & SPI
Chapter 16
  • 16.1.World.Map.Covid.19.Dashboard
  • 16.2.World.Map.Covid.19.Dashboard.final
Chapter 17
  • 17.1 World Map_Covid_19_Dashboard

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