Google and the online learning platform Coursera are launching a five-course machine learning specialization to teach developers how to build machine learning models using the TensorFlow framework, Frederic Lardinois reports at TechCrunch:
The new specialization, called “Machine Learning with TensorFlow on Google Cloud Platform,” has students build real-world machine learning models. It takes them from setting up their environment to learning how to create and sanitize datasets to writing distributed models in TensorFlow, improving the accuracy of those models and tuning them to find the right parameters.
As Google’s Big Data and Machine Learning Tech Lead Lak Lakshmanan told me, his team heard that students and companies really liked the original machine learning course but wanted an option to dig deeper into the material. Students wanted to know not just how to build a basic model but also how to then use it in production in the cloud, for example, or how to build the data pipeline for it and figure out how to tune the parameters to get better results. …
It’s worth noting that these courses expect that you are already a somewhat competent programmer. While it has gotten much easier to start with machine learning thanks to new frameworks like TensorFlow, this is still an advanced skill.
The new series is a continuation of Google’s longstanding partnership with Coursera, through which the tech giant went public with its internal IT support training curriculum earlier this year.
Google has taken its internal IT training curriculum and, in partnership with Coursera, taken it public in the form of a certificate program. The tech giant is also providing full funding to 10,000 students, despite the fact that the majority of them will never become Googlers. Still, this initiative will allow Google to build a pipeline of talent in a critical field—they’ll have an inside track to hiring top performers from the program—while also enabling diversity across the entire sector by upskilling candidates from non-traditional backgrounds. It burnishes the company’s public image as well: The program is available to anyone, the cost is highly subsidized, and Google will have a hand in closing the digital talent gap.
The cost of the program is $49 per month, and scholarships will be funded by Google.org grants and distributed in part through community groups such as Year Up, Goodwill, Student Veterans of America, and Upwardly Global, per Google’s press release. The goal is for students to be ready for entry-level IT support jobs within 8 to 12 months after they complete the training, which consists of 64 hours of video lessons as well as interactive labs and assignments.
Trainees will learn to handle tasks such as troubleshooting and customer service, operating systems, and system administration, automation, and security. Once students complete the program, they will also have the option to share their information with an impressive list of corporate employers such as Bank of America, Walmart, PNC Bank, and more, in addition to Google.
While Google is the trendsetter here, Coursera is working on similar programs with other companies, Quartz’s Michael J. Coren notes:
With the rapid advance of AI and machine learning technology, employers need talent with skills and knowledge in this field at a greater rate than university programs are able to churn them out. The imbalance of supply and demand has led to large, rich companies buying up all the AI startups and luring AI professors away from universities with much larger salaries. To address this issue and expand access to AI education, Stanford University professor and Coursera co-founder Andrew Ng has launched a new website, Deeplearning.ai, whose courses “offer coders without an AI background training in how to use deep learning, the technique behind the current frenzy of investment in AI,” Wired’s Tom Simonite reports:
“This sounds naive, but I want us to build a new AI-powered society,” Ng tells WIRED. “The only way to build this is if there are hundreds of thousands of people with the skills to do things like improve the water supply for your city or help resource allocation in developing economies.” Ng’s new courses cost $49 a month and are offered through online-education startup Coursera, which he cofounded in 2012 and where he still sits on the board. …
With his new courses, Ng is offering a solution to a problem he helped create. His prominence comes from work on deep learning at Stanford and Google’s X Labs that helped prove machine learning could do transformational things for businesses. In a 2012 paper, he and coauthors described a system that learned to recognize cats in still images from YouTube without human help. Now there aren’t enough people with machine learning skills to go around.
Ng’s motivation to launch Deeplearning also stems from his sense that people who don’t understand how AI works are afraid of it, which he thinks we shouldn’t be, Daniel Terdiman adds at Fast Company: Read more