Expertise in these areas is an essential basis for the development of cars driving in piloted mode, intelligent robots and digital mobility services. One important element here is Audi's cooperation with the online platform Udacity. "In our areas of the digital future, the rapid development of new IT skills is a critical competitive factor. The topics of artificial intelligence and big data play a key role here," stated Michael Schmid, Head of the Audi Academy. Also Read: Strong Nov-Dec seen lifting Audi's 2017 China volumes into growth This starts with basic programs for new entrants without any knowledge of programming, such as the basis of data analysis, and ends with courses at university level on topics such as artificial intelligence and machine learning.
With each passing month, we see more and more car companies taking a deep dive into artificial intelligence and autonomous systems, as well as studying big data that comes with developing autonomous systems for use in city environments. They do this either by partnering with existing companies or absorbing them, or through loose investments with tech sharing agreements. Audi is starting to train their own employees in-house under the new "data.camp"
How soon do you need to prepare for artificial intelligence? Artificial intelligence is already here – it's no longer a futuristic promise. And it's been here for years. Companies should already be thinking about how they can automate many of their ordinary marketing processes. This is the basic step that every company should take to make themselves more efficient.
This training is ideal for engineers creating algorithms and software for visual machine perception in all types of applications (e.g. in the industrial, medical, consumer, retail, public safety or automotive area) who want to quickly come up to speed on using TensorFlow for these applications. It's also appropriate for managers who want to get a flavor for creating deep neural networks and using TensorFlow. After the training, attendees will be ready to begin using TensorFlow productively in their work. In addition, for attendees who require an introduction to deep neural network algorithms, the Embedded Vision Alliance will offer a two-hour video tutorial presentation online prior to the TensorFlow class.
BENGALURU: The humongous amount of digital data being generated, and companies' need to glean insights and make predictions from them have made skills in data visualisation, data science, and machine learning among the most valued for technology recruiters today. This is reflected in the number of working professionals signing up for specialised courses in these spaces. Candidates who complete the courses tend to get between 20% and 50% increase in salaries. Kashyap Dalal, chief business officer at online learning platform Simplilearn, says that big data and analytics courses were the big growth drivers in the past three years. While data science continues to remain popular, accounting for 30% of all learners, courses on visualisation tools and machine learning have become very attractive over the past six months, he said.
Developing training programmes for a large group of sales or technical or services personnel is a challenging task as the programme is meant for a diverse group, and has to be engaging and meaningful for the participants. The programmes are mostly delivered at multiple locations, they have to be updated from time to time and at times, also require to be culturally sensitive to remain relevant as well as contemporary. Effective assessment strategy is also important to ensure the programmes meet the stated business objectives. In the digital era, there is a plethora of content available on the internet. A lot of it is free of cost via options such as MOOCs, Course Era, You Tube and others.