We started TekZone Academy to deliver rich content to young Africans in urban and rural areas. But we are also aware that the Internet is not always available. When it is, it might not be as reliable. To help with this challenge, we have designed TekZone Academy so that you can connect, download your courses to your phone or tablet, then go through the course offline including taking the quizzes. The next time you connect to the Internet, it will synchronize with your account.
To get started with your mobile app, follow the steps below:
Step 1: Install the Moodle app from the play store. See the screenshot below.
Step 2: Connect the app to TekZone Academy. When you open the app, it will ask you for the URL to the web site. put it www.tek.zone/academy
Step 3: Login to the App. When the app connects successfully to the TekZone Academy platform, you’ll see the logo and name appear. You will also be prompted to login. Put in your username and password and click “Log In”
Step 4: You’re all done. If you followed these steps, you should now be logged in to the app (see image below). You will only be asked to login this once. The next time you launch the app, it will directly open in your dashboard.
Watch the video below to see how easy it is to interact with the application.
Hello TekZone Community. In 2015 we launched a Robotics Course designed to expose young Africans to robotics. This course covers topics such as sensors, actuators, and controls algorithms. To make this course accessible to all, we partnered with National Instruments to leverage LabVIEW Home edition which is a version of LabVIEW designed to work with Arduino, Raspberry Pi and Beaglebone Black. This was ideal because LabVIEW is graphical and easier for newbies to pick up. They could focus on building their robots rather than learning text-based programming. You can see some pictures from that class below.
Unfortunately, LabVIEW Home edition was discontinued by National Instruments. The change eliminated this option for many. It seems that we were not the only people needing this because National Instrument just announced the introduction of a new NI LabVIEW Community Edition which does the same thing and is completely free. See the official launch video below.
TekZone Robotics Course will return
We will revamp the Introduction to Robotics course using this new Community edition and make it available to the public. Stay tuned.
The Machine Learning course offered by Standford through Coursera is a great way to start. It provides details behind the Machine Learning concepts and provide everything needed to practice it. The course goes through the math behind AI and ML. You can access it for Free here: https://www.coursera.org/learn/machine-learning . Millions of people already have.
The Machine Learning Guide podcast is a great one for a newbie. While it covers some of the technical details of ML, the main objective of this podcast is to cover the forest that is ML. It covers they why behind each concept including when it should be used and why. You can access it for free a the following link or on your favorite podcast app. http://ocdevel.com/mlg
The Emerj AI in Industry podcast helps connect typical industry challenges with corresponding AI fields. I recommend it whether you’re starting or are deep into your AI journey. https://emerj.com/
The book Machines of Loving Grace presents a very good history of AI from the early 1900s to the recent boom in this field. It helps understand current trends. I highly recommend it.
LEGO Robotics is a hands on, multidisciplinary, collaborative, authentic learning experience, and TekZone wants you to give it a try. In this program, you will learn how to use sensors such as sound , color and touch to have a robot identify different sounds, color and obstacles. You will learn how to make a robot move in various directions and how to measure those moves. You will learn advanced programming techniques that will allow you to build a program autonomous robots able to move and avoid obstacles. Watch the video below for what’s possible after this training:
Who can attend this session?
Anyone passionate about Robotics can attend this session. Below is a copy of the syllabus for this training (French and English).