As India's first artificial intelligence (AI) university is yet to become operational, you can now learn AI as well as Machine Learning (ML) online for 'Free' through Google's recently introduced "Learn with Google AI" platform.

The platform was created by its Machine Learning experts at Google to enable people to understand and use AI in solving complex as well as real-world problems, develop skills and learn about a variety of concepts.

In an official blog post, Google said, "This site provides ways to learn about core ML concepts, develop and hone your ML skills, and apply ML to real-world problems. From deep learning experts looking for advanced tutorials and materials on TensorFlow, to "curious cats" who want to take their first steps with AI, anyone looking for educational content from ML experts at Google can find it here."

The course will take approximately 15 hours to complete and has 40 different exercises. It is comprised of not just these exercises but also a wide range of interactive visualisations, modules and learning videos. The company also says that over 18,000 people who make use of Google services have enrolled so far.

The platform also features a new, free course called Machine Learning Crash Course (MLCC). The course provides exercises, interactive visualizations, and instructional videos that anyone can use to learn and practice ML concepts.

Notably, the future predictions about the job landscape in the next few years involve automation, AI and increasingly-redundant humans. Yes, layoffs are inevitable going forward, but what much of the chatter ignores is that the future will also see employment creation, including jobs that are as yet unheard of.

To recall, in 2015-16, India's IT giant Infosys replaced 9,000 jobs with automation and AI. So its better to prepare for future jobs of ML and AI then to get redundant in future, when it comes to professional skill set.

The demand for a new skill like ML and AI is growing, especially in regard to data scientists, for whom the demand is projected to exceed supply by more than 50% by 2018. This is probably a good indication as to why Harvard Business Review declared data scientist to be the “sexiest” job of the 21st century back in 2012.

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