Google to educate people about machine learning and AI for free

Learning about Machine Learning becomes easier!

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We know how serious Google is when it comes to machine learning and artificial intelligence (AI). In fact, for the past two years, Google’s ultimate focus has remained more or less on AI. Whether it’s about making their Assistant understand Hindi or making speakers, cars and television set smarter.

Of course, Google Assistant remains the centre of attention, and for obvious reasons: That’s where this whole AI magic is prominently visible and put into action around users’ day to day activities via both text and voice search. However, the concept is much broader than it may seem and Google is doing everything possible to educate people about what these fancy terms (Artificial Intelligence and Machine Learning) actually mean.

If you are interested in learning more about them, you can simply head over to That’s where you will come across a lot of learning resources specifically on the topics of Machine Learning and Artificial Intelligence.


They have also announced a new Machine Learning Crash Course (MLCC) to make people practically learn the concepts using TensorFlow (TF) APIs. In case you don’t know, many Google services and features like search and voice recognition have the ability to translate the text using TensorFlow. To put it in simple words, it’s an open source software library mainly used to power AI related functions. People will have so much more to learn and explore on their own.

Also Read: Google announces a handful of new features for Assistant at MWC 2018

Zuri Kemp, Program Manager for Google’s machine learning education said in a blog post: “We believe it’s important that the development of AI reflects as diverse a range of human perspectives and needs as possible.” Google believes their AI makes it easier for ‘everyone’ to learn Machine Learning. Thanks to a wide range of content available at disposal. “This is for everyone — from deep ML experts looking for advanced developer tutorials and materials, to curious people who are ready to try to learn what ML is in the first place,” she added further.