Thinking About Career in AI & Machine Learning; Know all Here


According to a survey around five out of six Americans use AI services every day, in one form or another, which proves how AI is a viable career option. And, so do the Machine Learning.

For those who are new to this sector, AI is how we make intelligent machines and Machine learning is a subset of AI. So when we’re describing AI, we’re describing machine learning, which is the process by which AI learns.

And, because of the growing adoption of the technology across industries and the need for trained professionals to do the jobs created by this growth, AI has been a sound career choice for a while now. It is predicted by experts that AI will create close to 2.3 million jobs by 2020. From entertainment to transportation, AI is used in almost every industry, which implies we have a massive need for qualified, skilled professionals.

Skills & Abilities one Needs To Step In

Well, there is a common characteristic that all successful AI professionals share that allows them to always reach one step ahead in their careers. And, that is, the analytical thought process and the ability to solve problems with efficient as well as cost-effective solutions. Plus, it also demands the foresight about technological innovations that translate to state-of-the-art programs that let businesses to remain competitive.

Moreover, AI experts also need technical skills to design, maintain and repair the technological software programs. Ultimately, all one need is to know how to translate highly technical information in ways that others can understand in order to carry out their tasks.

Besides all, there are three different types of professionals are in demand such as programmers, those new to the domain, and those already working in data science.

For the novices who recently stepped into the field, it is suggested to start with mathematics and taking all kinds of machine learning courses. Plus, as a prerequisite, they should have strong computer skills as well as programming skills like C++ and an understanding of the algorithms to complete the machine learning training.

For those who are already programmers but like to move into AI, can go straight into the algorithms and start working on their coding skills.

And, at last, those who are already data scientist or analyst but seizing into AI, everything they require is to cross a bridge from being a data scientist to machine learning expert. Most importantly, they need good communication skills with knowledge to prepare data, along with proficiency in model building and visualization.

Must say, no matter what stage of learning you are, you can opt for machine learning courses to get highly skilled and archive high paying jobs you aspire for.

Some of the specific jobs roles held by AI & Machine Learning professionals are:

AI engineer
Machine learning researcher
Data analyst
Data warehouse engineer
Data mining and analysis
Machine learning engineer
Data scientist
Business intelligence (BI) developer
Full-stack developer
Software architect
Product manager
Front-end developer

The Future Scope Of AI & Machine Learning

There are no speculations yet about the future of AI. And, according to some experts, it is hard to forecast its future as the pace of its development is quite high. we can’t even imagine what will develop with the innovation we will see in the coming years, but we do know that there is already a shortage of trained AI and machine learning professionals, and that bridge will only grow until we get people trained and placed in the millions of AI jobs.

So, if you also want to be one of those professionals, complete machine learning courses and get certified.

Make sure, the sooner you get your machine learning training started, the sooner you will be working in this exciting and rapidly changing field.
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