Image Credits: Udacity
For those who still have doubts as to what Artificial Intelligence (AI) is, simply put AI is the creation of smart machines that perform human-like functions. It is the creation of software that enables the machines to learn the way humans learn, to speak the way humans speak, to think the way humans think and perform tasks that humans perform, at a much faster speed than humans can. The main attributes of these intelligent machines include speech recognition, learning, planning, and problem-solving.
An extremely vital segment of Computer Science, Artificial Intelligence has made life very easy. It has flowed into every industry right from entertainment to transportation. A striking and perfect example of Artificial Intelligence can be none other than ‘Alexa’ which has garnered immense craze among people because of the functions it performs; functions which were otherwise only performed by humans.
While there are many talks revolving around how AI is going to lead to loss of jobs of millions, it is important to know that though this is true to a certain extent, it is also true that AI is also going to create another million jobs. Experts have predicted that AI is going to lead to the creation of over 2.5 million jobs by 2020. That’s like now!
With Artificial Intelligence gaining massive prominence and growing exponentially in almost every sector of business and industry, it’s only sensible to choose a career in this field. It will definitely guarantee a bright future. In order to pursue a career in AI, there are few things one must have.
This role will demand you to analyze data in order to gauge and identify business and industry trends. The main motive of a Business Intelligence Developer is to help the business/company increase their profitability after a careful and detailed study of the market conditions. In this job role you will be expected to not just analyze and study the market, but also design and build data on the collected analyses and put it up on highly accessible cloud-based data platform.
In this capacity, you will be required to develop and manage platforms that will be needed to carry out the machine learning projects. This job will demand an accurate understanding of various programming languages like Java, Scala and Python. Those holding strong analytical, programming and mathematical skills must undoubtedly opt for this job role.
To become a research scientist, you must have a thorough understanding in multiple disciplines of AI which include deep learning, machine learning, computational statistics and applied mathematics.
Just like in machine learning engineering, Big Data Engineers will have to be thorough with programming languages like C++, Java, Python and Scala. Big Data Engineers/Architects have the responsibility of planning, designing and building big data ecosystems on software and computer programs like Spark and Hadoop.
Their key role involves collecting and analyzing huge amounts of complex data and also developing algorithms that helps them in collecting such data for analysis purpose. Aspiring data scientists must be comfortable with the tools and big data platforms like Hadoop, Spark, Pig, Hive and Map Reduce. They must also be sound with programming languages.
Given below are some of the business giants who are increasingly hiring AI qualified professionals:
Listed below are the top most institutes known for offering best AI and Machine Learning courses and degrees
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