In 2017, the topic of “artificial intelligence” remained hot. In 2018, AI will only grow in popularity — technology and products will become more ubiquitous, and DIY AI will become possible. You don’t even need a PhD in computer science or math to build your own AI.
Top AI Trends To Watch In 2018 CB Insights, a renowned RESEARCH institution In the United States, recently released a major report, “Top AI Trends To Watch In 2018”, the report conducted an in-depth analysis of the development of the AI industry. It points out that China is trying to overtake the US and other Western countries in THE field of AI, and the government has invested a lot of energy and money in it. In 2017, China accounted for 48% of the global investment in AI startups, overtaking the United States to take the top spot for the first time. There will be a lot of hiring in AI.
Objectively speaking, the fierce competition for talent also stems from the very long training cycle for AI professionals. In China, BAT not only selects CS majors of the best universities in China, but also targets Udacity, a cutting-edge technology learning platform from Silicon Valley, for its talent cultivation plan:
■ In early 2017, Ali and Udacity held the first Tianchi Technology Competition;
■ In August, Tencent announced the Udacity nanodegree program as an official training component for its internal staff;
■ In September, Baidu and Udacity launched the “Introduction to Driverless Driving” nanodegree program, which aims to attract AI talent by promoting technology and branding around the world
Founded by Sebastion Thrun, the founder of Google’s self-driving car, Udacity has teamed up with Google, Facebook, Amazon and other leading companies to create a series of cutting-edge technology courses that aim to make Silicon Valley’s latest and hottest technologies available to everyone at a much lower cost than an offline education. And eventually become the in-demand talent to change the world through technology.
Deep learning is the most eye-catching direction in the field of machine learning in recent years. In the academic and industrial circles, deep learning technology has gradually achieved significant breakthroughs in speech recognition, image recognition, natural language processing and other fields. At the same time, a number of new enterprises relying on deep learning have emerged in China, such as Gling Deep Pupil (security, automatic driving), Kuangshi technology (face recognition), Sensetime (face recognition), Horizon Robotics (ADAS) and so on. Deep learning is expected to play an increasingly important role in companies’ future AI layouts.
In the Deep Learning Cornerstone Nano degree course, you will follow top experts such as Sebastian Thrun, the father of Silicon Valley’s driverless cars, Ian Goodfellow, the father of generative Adversative Networks, Andrew Trask, a scientist at Google’s Deepmind lab, and the Youda Deep Learning team. Starting from scratch, I systematically learned core knowledge, personally challenged cutting-edge practical projects from Silicon Valley and obtained professional review and feedback.
[First-class Teachers]
After graduating from the Cornerstone Nanodegree program in Deep Learning, you will skip the heavy application process and be recommended to one of three advanced nanodegree programs for driverless Engineers, robotics development or artificial intelligence engineers. The project is jointly built by Udacity and industry leaders such as Mercedes Benz, BMW, Didi Chuxing, IBM, Amazon, etc. You will be able to challenge more cutting-edge and in-depth deep learning projects and become an industry recognized expert. Over the next year, you will not only be mentored by some of silicon Valley’s top lecturers, but you will also be challenged by several cool practical projects.
(This is part of the actual combat project)
If you want to jump on the AI+China bandwagon but don’t know where to start, and want to learn and progress together with mentors and partners, you can jump on Udacity’s bandwagon.