8 Technical Acumen that Could Land You a Job in Google

Artificial Intelligence

In the past decade, Google has stepped up from just being a leader in search engines and has progressed subtly but strongly into Robotics, Automation and Artificial Intelligence. The initiative to develop driverless cars is a major example of their interest and self-belief in the AI field. Anyone with considerable knowledge about robotics and their ventures particularly gains an upper hand in securing a place for themselves in Google. The purpose of this learning is to introduce individuals to basics of modeling, designing, planning, and control of robot systems. In essence, the materials treated in Robotics and AI is a brief survey of relevant results from geometry, kinematics, statics, dynamics, and control, which will help individuals to master the skill in-depth.

Learn to build new compilers 

It is also important for prospective candidates to learn the know-hows of compiler fabrication. Cousera offers detailed learning about the major ideas used today in the implementation of programming language compilers. In addition, individuals will also learn how a program written in a high-level language is systematically translated into a program written in low-level assembly language.

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