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Artificial Intelligence for Robotics

Learn how to program all the major systems of a robotic car from the leader of Google and Stanford's autonomous driving teams.

This class will teach you basic methods in Artificial Intelligence, including: probabilistic inference, planning and search, localization, tracking and control, all with a focus on robotics.

The 6 Best Free Online Artificial Intelligence Courses For 2018

A basic grounding in the principles and practices around artificial intelligence (AI), automation and cognitive systems is something which is likely to become increasingly valuable, regardless of your field of business, expertise or profession.

It is designed so that those with no prior knowledge of machine learning can jump in right at the start, those with some experience can pick or choose modules which interest them, while machine learning experts can use it as an introduction to TensorFlow.

The course is aimed at those looking to put machine learning, neural network technology to work as data analysts, data scientists or machine learning engineers as well as enterprising individuals wanting to make use of the plethora of open source libraries and materials available.

The course covers the spectrum of real-world machine learning implementations from speech recognition and enhancing web search, while going into technical depth with statistics topics such as linear regression, the backpropagation methods through which neural networks “learn”, and a Matlab tutorial – one of the most widely used programming languages for probability-based AI tools.

As a manufacturer of graphics processing units (GPUs), Nvidia unsurprisingly covers the crucial part these high-powered graphical engines, previously primarily aimed at displaying leading-edge images, has played in the widespread emergence of computer vision applications.

The self-driving cars which are widely expected to become a part of our everyday lives rely on AI to make sense of all of the data hitting the vehicle’s array of sensors and safely navigate the roads.

This is a course taught at the bricks ‘n’ mortar university for the first time last year, and all of the materials including lecture videos and exercises are available online – however you won’t be able to gain a certification.

3 Free Online Artificial Intelligence Courses Taught by Google and Stanford Experts

Marketing is on the verge of making a huge pivot, thanks to artificial intelligence.

It doesn’t matter if you’re a manager driving your company's marketing strategy or a developer looking to build marketing AI systems—this type of experience and knowledge will only become more valuable as the industry progresses.

According to their developer's blog: “We believe that the potential of machine learning is so vast that every technical person should learn machine learning fundamentals.” The awesome thing about Google’s machine learning crash course is that it’s really not that technical.

More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems.

Finally, you'll learn about some of Silicon Valley's best practices in innovation as it pertains to machine learning and AI.” This free artificial intelligence course is a great opportunity to learn from one of the brightest minds in the industry.

It has an estimated timeline of four months, is 100% free, and counts as credit towards their machine learning and data analyst nano degree programs for those who choose to pursue them.