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Udacity, the $1 billion online education startup, has laid off about 20 percent of its workforce and is restructuring its operations as the company's co-founder Sebastian Thrun seeks to bring costs in line with revenue without curbing growth, TechCrunch has learned. From the report: The objective is to do more than simply keep the company afloat, Thrun told TechCrunch in a phone interview. Instead, Thrun says these measures will allow Udacity from a money-losing operation to a "break-even or profitable company by next quarter and then moving forward." The 75 employees, including a handful of people in leadership positions, were laid off earlier today as part of a broader plan to restructure operations at Udacity. The startup now employs 300 full-time equivalent employees. It also employs about 60 contractors.

Udacity, which specializes in "nanodegrees" on a range of technical subjects that include AI, deep learning, digital marketing, VR and computer vision, has been struggling for months now, due in part to runaway costs and other inefficiencies. The company grew in 2017, with revenue increasing 100 percent year-over-year thanks to some popular programs like its self-driving car and deep learning nanodegrees, and the culmination of a previous turnaround plan architected by former CMO Shernaz Daver. New programming was added in 2018, but the volume slowed. Those degrees that were added lacked the popularity of some of its other degrees. Meanwhile, costs expanded and their employee ranks swelled.

An anonymous reader writes: In November, Google open sourced TensorFlow, its machine learning platform. Now, the company is following up by teaching people how to use it. They've launched a free course at Udacity that "provides you with all the basic tools and vocabulary to get started with deep learning, and walks you through how to use it to address some of the most common machine learning problems." A series of lectures explains how to set up your data, build training models, and extend those models. It also touches on image recognition and how to use recurrent neural networks. The signup page notes that this is considered an intermediate-to-advanced level course, so you'll probably need some basic machine learning knowledge to get the most out of it.

An anonymous reader writes: In November, Google open sourced TensorFlow, its machine learning platform. Now, the company is following up by teaching people how to use it. They've launched a free course at Udacity that "provides you with all the basic tools and vocabulary to get started with deep learning, and walks you through how to use it to address some of the most common machine learning problems." A series of lectures explains how to set up your data, build training models, and extend those models. It also touches on image recognition and how to use recurrent neural networks. The signup page notes that this is considered an intermediate-to-advanced level course, so you'll probably need some basic machine learning knowledge to get the most out of it.

theodp writes "Next January, writes the NYT's Tamar Lewin, the Georgia Institute of Technology plans to partner with Udacity and AT&T to offer a master's degree in CS through massive open online courses for a fraction of the on-campus cost. Georgia Tech's Online Master of Science in Computer Science can be had for $6,600 — far less than the $45,000 on-campus price. The courses will be online and free for those not seeking a degree; those in the degree program will take proctored exams and have access to tutoring, online office hours and other support. AT&T, which ponied up a $2 million donation, will use the program to train employees and find potential hires. Initial enrollment will be limited to a few hundred students recruited from AT&T and Georgia Tech corporate affiliates. Zvi Galil, the dean of the university's College of Computing, expects that the program could attract up to 10,000 students annually, many from outside the U.S. 'Online, there's no visa problem,' he said."

Georgia Tech and Udacity — the online courseware project led by Sebastian Thrun — have announced a plan to offer an accredited M.S. Computer Science program online. The two organizations are also working with AT&T. This is the first time a major university has made an actual degree available solely through the MOOC format. Getting a degree in this manner is going to be much cheaper than a traditional degree: "... students also will pay a fraction of the cost of traditional on-campus master’s programs; total tuition for the program is initially expected to be below $7,000." U.S. Secretary of Education Arne Duncan said, "Massive open online courses (MOOCs) have quickly become one of the most significant catalysts of innovation in higher education. As parents know all too well, America urgently needs new ideas about how to make higher education accessible and affordable. This new collaboration between Georgia Tech, AT&T and Udacity, and the application of the MOOC concept to advanced-degree programs, will further the national debate — pushing from conversations about technology to new models of instruction and new linkages between higher education and employers." Georgia Tech is looking at the big picture: "At present, around 160,000 master’s degrees are bestowed in the United States every year in computer science and related subject disciplines; the worldwide market is almost certainly much larger, perhaps even an order of magnitude larger."

theodp writes "Back in the day, getting traction for a new programming language was next to impossible. First, one needed a textbook publishing deal. Then, one needed a critical mass of CS profs across the country to convince their departments that your language was worth teaching at the university level. And after that, one still needed a critical mass of students to agree it was worth spending their time and tuition to learn your language. Which probably meant that one needed a critical mass of corporations to agree they wanted their employees to use your language. It was a tall order that took years if one was lucky, and only some languages — FORTRAN, PL/I, C, Java, and Python come to mind — managed to succeed on all of these fronts. But that was then, this is now. Whip up some online materials, and you can kiss your textbook publishing worries goodbye. Manage to convince just one of the new Super Profs at Udacity or Coursera to teach your programming language, and they can reach 160,000 students with just one free, not-for-credit course. And even if the elite Profs turn up their nose at your creation, upstarts like Khan Academy or Code Academy can also deliver staggering numbers of students in a short time. In theory, widespread adoption of a new programming language could be achieved in weeks instead of years or decades, piquing employers' interest. So, could we be on the verge of a programming language renaissance? Or will the status quo somehow manage to triumph?"

theodp writes "Forget about his self-driving cars. CNN reports that Sebastian Thrun's Udacity — where you and 159,999 fellow classmates can take a free, Stanford-caliber online course together at the same time — just might be the future of higher education. Interestingly, of all the students taking Thrun's AI class globally and at Stanford, the top 410 students were online; the 411th top performer was a Stanford student. 'We just found over 400 people in the world who outperformed the top Stanford student,' Thrun said."

theodp writes "Forget about his self-driving cars. CNN reports that Sebastian Thrun's Udacity — where you and 159,999 fellow classmates can take a free, Stanford-caliber online course together at the same time — just might be the future of higher education. Interestingly, of all the students taking Thrun's AI class globally and at Stanford, the top 410 students were online; the 411th top performer was a Stanford student. 'We just found over 400 people in the world who outperformed the top Stanford student,' Thrun said."

mikejuk writes "Professor Sebastian Thrun has given up his Stanford position to start Udacity — an online educational venture. Udacity's first two free courses are Building a Search Engine and Programming a Robotic Car. In a moving speech at the Digital Life Design conference, he explained that after presenting the online AI course to thousands of students he could no longer teach at Stanford: 'Now that I saw the true power of education, there is no turning back. It's like a drug. I won't be able to teach 200 students again, in a conventional classroom setting.' Let's hope Udacity works out; Stanford is a tough act to follow."