In the principles and practices around artificial intelligence (AI), cognitive systems, and automation, a basic grounding is something which is likely to become increasingly valuable regardless of your field of business, expertise or profession. Fortunately, to become familiar with this seemingly hugely complex technology, one doesn’t have to take years out of their life studying at university. In recent years, a growing number of online courses have sprung up that cover everything from the basics to advanced implementation. Aimed at people who want to dive straight into coding their own artificial neural networks as well as those who want to learn how this technology can be applied by anyone, following are some of the best free online AI courses:
Learn with Google AI
Learn with Google AI is a recently launched resource which is a part of Google’s plan to broaden the understanding of AI among the general public. It already contains a Machine Learning with TensorFlow (Google’s machine learning library) crash course and more material is slowly being added to it. Covering the ground from a basic introduction to machine learning, to getting started with TensorFlow, and to designing and training neural nets, the program is designed so that those with no prior knowledge of machine learning can jump in right at the start while those with some experience can pick or choose modules which interest them. Machine learning experts can use it as an introduction to TensorFlow.
Google – Machine Learning
Offered through Udacity, this is a slightly more in-depth course from Google. It assumes that the user has some previous experience of machine learning and is are at least familiar with supervised learning methods. The course focuses on deep learning along with the design of self-teaching systems that can learn from large, complex datasets. The course is aimed at enterprising individuals wanting to make use of the plethora of open source libraries and materials available as well as those looking to put machine learning, neural network technology to work as data analysts, data scientists or machine learning engineers.
Keep watching this space for more.