This is a course about getting started with the Internet of Things. It's a hands on course with exercises designed to teach you the concepts of gathering, sending, and storing data. We'll build a full end to end project gathering information from sensors, sending them over the internet and into a database. Then we'll build a nice dashboard to view it all. You'll go from a beginner to a confident IoT pro with this course.
What is the Internet of Things? In this module we'll explore the definition and get an introduction to IoT, or the Internet of Things.
In this module I show how to burn Raspian Linux to an SD card from within OSX. I'll show you the quickest way to get a new operating system on to your Raspberry Pi if you're using a Mac.
In this module I'll show you how to connect to your Raspberry Pi from Windows. This is the most common operating system out there, but it's not exactly compatible with Linux systems. I'll show you how you can connect your Windows machine so it behaves exactly the same as a Linux or OSX machine.
In this module I'll show you how to connect to your Raspberry Pi from a Mac (OSX). Because OSX is based of Unix, it has many tools that make connecting to the Linux system on your Raspberry Pi very easy.
For many projects you won't want to be tethered by a network cable, so in this module I show you how to set up and enable WiFi on your Raspberry Pi
For convenience you can set up your Raspberry Pi so you can connect to it automatically without a password, while still having your Raspberry Pi protected. This module shows you how to set up and store your SSH keys for easy access.
When you reinstall the operating system on a Raspberry Pi, you will get a warning the next time you SSH into it. Here's how to fix it. This will save you some trouble if you change operating systems or decide to use different cards.
In this module I'll show you how to wire up an AM2302 Temp/Humidity sensor, install some drivers and read the values. This is a fully fledged temp and humidity sensor and we'll utilize it here and get it ready to send data out.
How to wire up and communicate with a DS18B20 waterproof temperature probe. This is a waterproof probe and great for complex projects, especially those involving liquids.
Want to know how much light is in a room? In this section I'll show you how to read luminosity (how much light is present) with a TSL2561
Barometric pressure is a key factor for weather prediction. In this module I show you how to read barometric pressure with the BMP180 sensor
How to send your data to data.sparkfun.com, a public data feed service that's used by data scientists all over the world. We use the AM2302 to send temperature and humidity to a feed on this endpoint.
How to send the data from your AM2302 to a Google spreadsheet that's stored in your Google docs, or on a Google Drive.
Adafruit.IO is an endpoint that captures your data and displays it with beautiful graphs and controls. In this module we learn how to send our data to this endpoint and create a dashboard to view it.
The "Hello World" of electronics is blinking an LED. In this module I'll show you exactly how to do it!
This module is an introduction to building your own IoT endpoint in Linux. We go over what we plan to do and how we're going to build our very own custom IoT endpoint.
In this module we're going to be setting up our Linux server for our IoT endpoint.
In this module we'll install and set up MariaDB, a highly configurable and peformant database based off of, and forked from MySQL.
In this section we set up a connection between Python and MariaDB. This is crucial for storing data that we'll be sending to our endpoint.
In this section we'll set up a test endpoint with Python and Flask. We'll set up an API endpoint and send commands to it with POSTMan
In this module we will set up our MariaDB by creating a database, putting in our schema, creating a user and assigning them to the database.
In this module we'll be setting up our flask endpoint to handle real data. With the MySQL connection wired in now we just have to make our API take in data and store it to the database. Then we'll make it retrieve info and send it out.
At this point you'll have build a real data driven REST API!!
In this module we'll wire up the data store we just created, then create a model for the data, and create methods to insert and retrieve that data.
In this lecture we'll set up your Pi to send data. We do this by showing you how to wire up the two sensors in our demo, then install the software for them. After that we create a script to read, parse and send the data to our endpoint.
In this section we'll be testing everything out. We'll send some fake data to our endpoint and see if it stores the data. Then we'll connect the Raspberry Pi and start sending some real data.
In this module we'll install our AngularJS IoT dashboard so you can put some awesome visualization to the project!
With Crontab we can have certain commands execute at a specified time. We are going to automate our readings with Crontab so we can get some good minute by minute readings.
In this section we conclude our course.
I'm a professional developer living in the beautiful Northwest. I've been hacking on electronics and programming for 20 years. By day I'm an enterprise software developer building systems in Windows, and by night I'm tinkering around with some Linux box or IoT hardware.
I love teaching others and sharing and I hope you enjoy my courses.