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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