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Udacity and Google Introduce New (and Free) TensorFlow Course for Deep Learning

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Udacity and Google Introduce New (and Free) TensorFlow Course for Deep Learning

Machine learning skills are among the most coveted in the tech world today, though talent is in short supply.

· AI Zone ·
Free Resource

Developer at work

When HackerRank released its Student Developer Report last year, there probably weren’t too many devs out there surprised by the fact that more than half of all developers are largely self-taught, with almost 30 percent being entirely so. As the report explains, “computer science programs lag behind the pace at which technology evolves, [so] for skills that are growing in the industry today, students have to rely on self-teaching to learn.”

And as this piece from CIO explains, machine learning skills are among the most coveted by today’s tech companies. Unfortunately, however, “demand continues to outpace the supply of qualified talent for these emerging skills.”

This is where the online learning platform Udacity steps in, offering an entire suite of machine learning courses, many of which are completely free.

Announced earlier this month, Intro to TensorFlow for Deep Learning is the newest addition, launched in partnership with Google.

Speaking to TechRepublic’s Nick Heath, Udacity’s Mat Leonard explained what this course is all about:

"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 [the framework] 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."

Udacity has already released a first batch of lessons, but more will become available every 3 to 4 weeks.

For more info, head on over to Udacity.

Topics:
continuing education ,self development ,dev life ,skills gap ,online course learning software

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