Udacity’s Contribution to the COVID-19 Crisis: One Free Month Access to Nanodegree Programs

At this point, we’ve all been changed by COVID-19. Our normal lives have halted and our day-to-day activities have been turned upside down. Here’s what we’ve experienced so far:

  • Hundreds of millions of people around the world are quarantined or working from home. 
  • Schools and universities are shut down, and parents and educators are scrambling to move to a virtual learning environment. 
  • Millions and soon to be tens of millions of people have lost their jobs.

If you’ve been laid-off, or stuck working at home, or even have stir-crazy kids that need something to do, we can help.



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Advanced Android with Kotlin by Google!

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In 2016, Udacity released its very first free course on Android development in collaboration with Google. Since then, Udacity and Google have worked together to build 17 free courses and two full Nanodegree programs related to Android development. To date, more than 3.8 million students have enrolled in Udacity’s Android courses to kick off careers in Android development. 



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Udacity, Tencent WeChat Launch Free WeChat Mini Program Course for Global Audience

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Udacity and Tencent WeChat are launching a new free course to teach developers around the world how to create their own mini-programs on WeChat, the most popular messaging app among Chinese consumers. This is the online education platform’s latest effort to teach students the skills to build “mini-programs” on the WeChat platform.

Developed by Tencent in 2011, WeChat is a multi-function mobile communications application. Among WeChat’s most disruptive capabilities are its “WeChat Mini Programs,” sub-applications within the WeChat ecosystem. And with more than one billion active monthly users in China, WeChat’s importance is almost impossible to overestimate.  



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Practical Machine Learning with TensorFlow 2.0 Alpha

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In 2016, Udacity released the very first free course on TensorFlow in collaboration with Google. Since then, over 400,000 students have enrolled in the course and joined the AI revolution. We’re excited to release an all-new version of this free course featuring the just-announced alpha release of TensorFlow 2.0: Intro to TensorFlow for Deep Learning. This update makes AI even more accessible to everyone, and we’ve again worked directly with the deep learning experts at Google to ensure you’re learning the very latest skills to utilize TensorFlow.

Google and Udacity Intro to TensorFlow for Deep Learning course

This free course is a practical approach to deep learning for software developers. Our goal is to get you building state-of-the-art AI applications as fast as possible, without requiring a background in math. If you can code, you can build AI with TensorFlow. You’ll get hands-on experience using TensorFlow to implement state-of-the-art image classifiers and other deep learning models. You’ll also learn how to deploy your models to various environments including browsers, phones, and the cloud.

Machine Learning for Everyone

The alpha release of TensorFlow 2.0 is a big milestone for the product. TensorFlow has matured into an entire end-to-end platform. In this alpha release, TensorFlow has been redesigned with a focus on simplicity, developer productivity, and ease of use. This release integrates Keras more tightly into the rest of the TensorFlow platform so that it’s easier for developers new to machine learning to get started with TensorFlow. Along with standardizing around Keras as the main API, other deprecated and redundant APIs have been removed to reduce complexity in the framework. A general release candidate will be available later in Q2 2019.



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Introducing the PyTorch Scholarship Challenge from Facebook

Build deep learning models today.

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UPDATE: This scholarship program has ended, but you can enroll in the free Introduction to Deep Learning with PyTorch course! 

Earn a scholarship from Facebook and Udacity, and learn how to build, train, and deploy state-of-the-art deep learning models with PyTorch. Apply today!

PyTorch Scholarship Challenge from Facebook - Udacity

Today, we’re pleased to share details of our newest offering to rapidly expand students’ machine learning skills —the PyTorch Scholarship Challenge from Facebook.

PyTorch is an open source deep learning framework that’s quickly become popular with AI researchers for its ease of use, clean Pythonic API, and flexibility. With the preview release of PyTorch 1.0, developers can now seamlessly move from exploration to production deployment using a single, unified framework.

This new scholarship program, announced today at the PyTorch Developer Conference, offers participants the opportunity to acquire cutting-edge skills in deep learning using PyTorch, and earn a full scholarship to Udacity’s Deep Learning Nanodegree program.

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Udacity Launches Free Career Courses

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Developed from a successful pilot with Google, these new courses help you go from learning to landing the job.

Udacity Launches Free Career Courses

Ever since we first launched Nanodegree programs back in 2014, my team has been helping students to achieve their career goals—to land rewarding jobs, secure valuable promotions, execute meaningful career changes, and earn higher salaries.

Connecting learning to jobs has been central to our mission from the start, and nearly 75% of our Nanodegree program students report coming to Udacity expressly to advance their careers. That is why we’re very excited to launch our new, free Udacity Career courses today, at a time of year when, all over the world, university students are graduating.

This next generation of talent will enter the job market possessing a diverse range of skills, but facing a lot of competition, and a rapidly-shifting hiring landscape. They’re going to need every resource they can get to make sure they’re able to compete successfully for available roles. They are not alone in benefitting from this kind of support. Mid-career professionals pursuing career change, older workers returning to the workforce, and anyone looking ahead to a job search, will find these courses valuable as well.

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