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