20 Tips to Make a Successful Career in Artificial Intelligence

At present, artificial intelligence (AI) has tightened up
its position in the industry. The objective or goal of this
innovative technology is to transform human resources into the
machine’s power. AI develops wireless machine, automatic machine,
or robotic machine which can think, act, or perceive as a human
being. In the forthcoming year, AI will lead over the
technology-driven world with its capability. So, students should
learn artificial intelligence, machine learning, deep learning,
neural networks, and much more cutting edge trend and technology to
build up their AI careers. There is no surprise that there will be
several job openings for artificial intelligence or
machine learning in the upcoming
year.

Tips to Make Career in Artificial
Intelligence

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The field of artificial intelligence and machine
learning^[1] has a great career
outlook with its high salary. So, how does one start his career in
artificial intelligence? In this article, we address this question
and narrate 20 useful tips to make a successful career in
artificial intelligence for your convenience. A career in
artificial intelligence requires patience and knowledge to cope up
with upgrading terms and technologies.

Tips 1:  Educational
Requirements

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To start your career in artificial intelligence and
machine learning, the basic knowledge of computer science is
required. A bachelor of Computer Science and Engineering degree,
B.Tech in Computer Science and artificial intelligence, or robotics
is needed for entry-level. If you are a research scientist or a
software developer, you can easily switch to artificial
intelligence. But you must know about robotics, artificial
intelligence, and machine
learning.

Tips 2: Boost Up Your
Skills

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Artificial intelligence is nothing special; it’s just a
computer-based system that can mimic the human brain or
intelligence. At present, there are two types of artificial
intelligence: strong AI and weak AI. The strong AIs perform complex
functions than weak AIs. They perform a task without human
guidelines or help. They mimic human cognition. On the other hand,
weak AIs perform a certain task.

So, to build up your AI career, you should boost up various
level of skills like natural language processing (NLP), deep
learning, ontology, mathematical, statistical, knowledge
representation and reasoning (KR), semantic, pattern recognition,
neural network (NN), data pre-processing, graphics, robotics,
cognitive science theory, physics, and algorithm design.

Tips 3: Learn Programming
Languages

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If you want to develop your career in machine learning
(ML) or artificial intelligence (AI), then you must be a good
programmer. You must know the syntax of a programming language very
well. A programming
language is a set of instructions. To develop
an artificial intelligence or machine learning project, several
programming languages are used.^[2]

As an instance, R, Python,
Java, JavaScript, Scala, Prolog,
LISP, C++, and so forth. Among these,
Python is the most popular and easy-to-use
programming language for artificial and machine learning
applications. Its simple syntax is easy to learn
and implement. Also, its packages and
libraries minimize the use of
code. ^[3][4]

Tips 4: Know about Tools and
Frameworks

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One must have to use tools and frameworks to develop any
machine learning and artificial intelligence
project^[5]. So, as a beginner, you
must keep an idea about what kind of tools are used to develop an
artificial intelligence project. There are several tools and
frameworks are available like TensorFlow, PyTorch, Caffe, NumPy,
Theano, Microsoft Cognitive Toolkit (CNTK), SciPy, Keras, Spark
MlLib, Apache MXNet, and many more.

If you are interested in building up your career in artificial
intelligence or you are searching for an artificial intelligence
job, then you should know which framework or tool will make your
code easy to implement.

Tips 5: Do an Online Course to
Learn AI & ML

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Are you interested in a machine learning or artificial
intelligence job? Then, you must have to pursue an online course.
Why? An online course will help you to learn at your home without
any cost. We have outlined some of the best machine learning
courses^[6]
which are available online. These online courses will
help you to develop your artificial intelligence project
effectively and efficiently. These courses cover basic to advance.
So, grasp your desired course.

Tips 6: Refresh Your
Algorithms

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An algorithm is a crucial part of machine learning and
artificial intelligence. So, if you are interested in doing an
artificial intelligence job or a machine learning job, then you
should understand algorithms very well. There are several
algorithms, and each algorithm is very much important to develop
any machine learning project.

Each algorithm is different from each other. Some are basic and
easy algorithm, whereas some are advanced and complex. Here we
outlined some: Linear Regression, Support Vector Machine (SVM),
Naive Byes, Decision Tree, K-means, K-nearest Neighbor (KNN),
Gradient Descent, and many more. You may also read our previous
article: AI and Machine Learning Algorithms, Methods,
and Techniques^[7].

Tips 7: Know About Machine
Learning Library

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If you are searching for an artificial intelligence job,
then you must know how to use a machine learning library^[8] for developing a machine
learning project. There are several machine learning libraries are
available for any programming language. Among
these, TensorFlow and scikit-learn are
the most widely used machine learning library. These are efficient
tools.^[9][10]

Tips 8: Know About Deep
Learning

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You have already known about the basics of artificial
intelligence, algorithms, and programming language, and now it’s
time to move forward to the next tips that are deep learning. Deep
learning or deep structured learning is one kind of machine
learning based on artificial neural networks.

Tips 9: Hone Your Overall
Skills

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You have already known about all the necessary things
which are needed to get an artificial intelligence job. So, its
time to hone your skills by doing some practical tasks. To enhance
and enrich your skills, you can do many things like you can do an
internship or can attend an AI and machine learning conference.
Also, you can join GitHub to
practice ongoing machine learning projects. It will be helpful for
you to get a machine learning job. ^[11]

Tips 10: Brush Up Your Statistical
Skills

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If you are searching for an artificial intelligence job, then
you must have to know statistics properly to understand critical
algorithms. There are many popular algorithms based on statistical theorems^[12] like Hidden Markov
Models (HMM), Gaussian Mixture Models, Naïve Bayes, and so
forth.

However, machine learning models find out patterns from a vast
amount of information. To build up your AI career, you must have to
know statistical proofs and theorems deeply to extract insights
from data efficiently. Understanding statistical methods help you
to be an AI professional.

Tips 11: Refresh Your Mathematical
Skills

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Mathematics is very much important for machine learning and
artificial intelligence projects. So, anyone who wants to start his
career in machine learning, he must have to know mathematical rules
and techniques. Strong mathematical skills help you to solve
programming problems efficiently. Also, it will help you to create
logic in your program.

We will suggest you learn mathematics and practice very well.
You have to refresh your mathematical knowledge like algebra, calculus, matrices, vectors,
and functions. So, revise your mathematical knowledge again and
again. ^[13]

Tips 12: Develop Your Own AI
Project

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Already, you have gained theoretical knowledge of artificial
intelligence. Now, its time to apply your knowledge. To apply your
skills, you have to develop a machine learning project. You can
develop a small project, or you can develop an ongoing project of
GitHub. By developing an artificial intelligence project, you can
examine your own ability.

Tips 13: Read AI & ML
Books

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We all know the reading book is one of the best ways of
learning. We can enrich our knowledge by reading books. Also, books
allow us to understand tricky things. So, if you are interested in
building up your career in artificial intelligence, we will suggest
you read several books on artificial intelligence. Here we have
listed some of the best books on Artificial intelligence and
Machine Learning^[14].

Tips 14: Watch YouTube Videos

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In this modern era, there are multiple sources of
learning. To make a successful career in artificial intelligence,
the next tips or suggestion for you is that learn from every single
source. At present, there are so many standard YouTube channels and
videos on artificial intelligence.

Here we listed some for you: Google Cloud
Platform, Deeplearning.AI, Siraj
Raval, Data School^[18], and
many more. Watch these videos and learn about artificial
intelligence and machine learning.^[15][16][17]

Tips 15: Go Through AI Blogs

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Another way of modern learning is reading blogs. If you are
interested in getting a machine learning or artificial intelligence
job, then you must go through AI blogs. By reading blog articles,
you can know many cut edge techniques. Here we listed some blogs:
Open AI, Machine Learning Mastery, MIT AI News, Chatbots Life, and
many more.

Tips 16: Learn About AI Engineer’s
Responsibilities

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Before starting any career, I think everyone should know the
primary responsibilities and objectives of this career. It’s too
important because you can examine yourself whether you are
interested or not. Moreover, you will be more interested after
knowing the responsibilities since you are investing your time in
learning the required skills.

An AI professional must have to know how to implement algorithms
and how to evaluate them as he is responsible for research
artificial intelligence and machine learning projects. He should
also know about data mining, software design, and data pipeline. To
start his AI career, he must know how to design, develop, and
maintain artificial intelligence and machine learning models.

Tips 17: Learn About Data
Pre-processing Techniques

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Data pre-processing is the first step for developing any machine
learning project. As data are collected from different sources, so
they should be cleaned. Its a technique of transforming raw data
into the desired format. To get a machine learning job, you must
know the data pre-processing technique deeply.

Tips 18: Learn About Distributed
Computing

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Distributed computing is an important topic for artificial
intelligence and machine learning. Because for almost all machine
learning project requires complex and large volume datasets;
sometimes these are difficult to process using a single machine. So
an AI professional needs to know distributed computing to process
large datasets across a cluster.

Tips 19: Learn About
Probability

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Probability is another important topic to build up an AI career.
For any machine learning classification model, you need
probability. In order to develop an accurate application, you have
to think about your logic more critically, and you have to write
your code more precisely. You can only achieve this if you are good
at mathematics and statistics.

Tips 20: Know About Career
Opportunities

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Nowadays, AI career is one of the most demanding and trendy
careers. Definitely, it has a bright future in forthcoming years.
Almost all innovative companies are trying to incorporate machine
learning and artificial intelligence into their business. So before
starting your career in artificial intelligence, you must know
about the job prospect.

Ending Thoughts

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Artificial intelligence (AI) has excellent career
opportunities. So, to establish an AI career, one first needs to
have excellent programming skills. If you are good enough in
programming, then you should go for an online course where you can
learn basic terms. And then you should move on gradually. You
should always update about the latest happenings of this
cutting-edge field and how AI is changing the
workplace. However, this emerging field has a
tremendous job outlook. You can get a handsome salary by working in
this sector. But you should keep in mind that you need a passion to
learn something new.

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tuned.