Welcome
IPN-Dharma AI Lab
This is an IPN CIC - DHARMA initiative to provide an Artificial Intelligence Laboratory to motivate researchers, professors and students to take advantage of the courses, resources and tools of the main technology platforms of the industry in the areas of Machine Learning, Data Science, Cloud Computing, Artificial Intelligence and Internet of Things with the purpose of generating a practical experience through a learning model between peers and by objectives.
Level 1: Literacy and Foundations
IoT Node-RED
Node-RED is a programming tool for connecting hardware devices, APIs, and online services in exciting new ways.
It provides a browser-based editor that makes it easy to connect streams to each other using a wide range of palette nodes that can be deployed with a single click.
Courses in this program
1) Node-RED: Basics to Bots
Get hands-on experience and learn how to convert speech to text, analyze tone, translate text into different languages, send tweets through Twitter, add audio and video capabilities, and set up a chat bot using the IBM Watson Assistant service and Facebook Messenger. And you don't even need any programming experience!
Node-RED, which is built on Node.js, is a browser-based flow editor that makes it easy to wire together devices, APIs, and online services by simply dragging and dropping nodes on a palette. You then connect, or wire, the nodes to create flows that can be then deployed to the lightweight Node.js runtime with a single click.
Node-RED, which is built on Node.js, is a browser-based flow editor that makes it easy to wire together devices, APIs, and online services by simply dragging and dropping nodes on a palette. You then connect, or wire, the nodes to create flows that can be then deployed to the lightweight Node.js runtime with a single click.
Estimated effort 6 hours
English language
2) Robots are coming! Build IoT apps with Watson AI, Swift, and Node-RED
In this hands-on Internet of Things (IoT) course, you'll build Node-RED flows (applications) running on the cloud and connect them to more flows and Swift applications. You'll use those applications to track the temperature of a Raspberry Pi CPU, store that data in a Cloudant NoSQL database, take pictures with the RaspCam, use AI to recognize objects in the pictures, send Twitter notifications, and send simple commands from your smartphone to a robot called iRobot Create 2.