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From 0 to 1: Raspberry Pi and the Internet of Things

From 0 to 1: Raspberry Pi and the Internet of Things


This is a course is for everyone. You need not be an electrical engineer, or an engineer at all. We explain all engineering or automation concepts from absolute scratch.

Overview

About this Course
Taught by a team of electrical engineers from Stanford and IIT Madras.

An Internet-Of-Things course for everyone - accessible yet serious, to take you from absolute beginner to a solid intermediate level - built around Home Automation using Raspberry Pi.

This is a course is for everyone. You need not be an electrical engineer, or an engineer at all. We explain all engineering or automation concepts from absolute scratch.

This is an Internet-of-Things course, not merely a Raspberry Pi course. This is important because we think too many courses end up becoming like manuals for the Raspberry Pi, or the Arduino, or some specific hardware device. This course is careful to generalize

The course takes you to a solid intermediate level. The objective is to get you to a point where if you imagine a really cool IoT application, you will be able to independently figure out how to implement it.

We focus on Home Automation using Raspberry Pi for our use-cases. This is so that you can immediately put it to use around the home (turn that music down without getting off the couch!)

As with all our courses, this one too is quirky. The examples are irreverent. Lots of little touches: repetition, zooming out so we remember the big picture, active learning with plenty of quizzes. There’s also a peppy soundtrack, and art - all shown by studies to improve cognition and recall.

What's Covered:

Internet of Things : Sensors, Actuators, Microcontrollers, Arduino, Raspberry Pi, Physical Computing, Smart homes
Raspberry Pi 2 Model B Components, System on a Chip (SOC) , Input Output Interfaces, SD Card / Secondary Storage, Choice of Operating Systems, RISC/CISC Architectures, x86 vs ARM, Raspbian OS installation, Raspbian tour, Linux Shell commands overview, Installing software's, Connecting to the Internet
Physical Computing: Sensors (Photoresistors, Ultrasonic sensors, motion sensors, temperature and humidity sensors), Relays, LEDs, Push buttons, Basics of circuit design, Ohm's law, RC circuit, GPIO pins, Serial and Parallel interfaces, UART, SPI, I2C, Pulse Width Modulation (PWM), Python (RPi DOT GPIO), WiringPi, Node js (RPi-GPIO)
Home Automation projects: Measuring Distance, Measuring Light Intensity, Controlling switches with sensors, Controlling switches over local and external networks
Basic knowledge
No real prerequisites. Beginner level understanding of electric circuits and programming might help but its not mandatory
If you intend to do the physical computing projects, go ahead and purchase a Raspberry Pi - but the course does give you advice on things you might need to get for your automation projects so you can wait to decide as well.

Course Information

No real prerequisites. Beginner level understanding of electric circuits and programming might help but its not mandatory
If you intend to do the physical computing projects, go ahead and purchase a Raspberry Pi - but the course does give you advice on things you might need to get for your automation projects so you can wait to decide as well.

Understand what the internet of things and physical computing are
Know their way around a Raspberry Pi
Use the Raspberry Pi in Home Automation projects
Think of different IoT applications and visualize the components needed to build them
Do cool things like control switches in their home with their smartphone

Yep! Anyone who is interested in Internet of Things, Physical computing, hardware hacking and wants to get their hands dirty with real projects
Yep! Non-engineers / Non-tech persons who are interested in home automation projects or Raspberry Pi
Yep! People who are looking to understand the details of IoT and want to think of new startup ideas in the IoT space or work in this space
Yep! Engineers who have book knowledge but want some help with practical application of electronics concepts

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Course Specifications

Our great AI and Machine Learning courses include Artificial Intelligence, Coding and Programming. 

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Adult education is the non-credential activity of gaining skills and improved education. 

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Online education is electronically supported learning that relies on the Internet for teacher/student interaction. 

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A short course is a learning programme that gives you combined content or specific skills training in a short period of time. Short courses often lean towards the more practical side of things and have less theory than a university course – this gives you a more hands-on experience within your field of interest.

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Course duration is 24 hours.

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