The advent of new technologies is rapidly improving and developing many spheres of our lives with innovative technologies.

Today we can boast of several innovations like virtual reality, Self-Driving Cars, Blockchain technology, Data Science, Artificial intelligence, machine learning etc.

Globally, Artificial Intelligence (AI) is emerging as one of the most promising technologies with a relevant impact on every industry and every human being in our society.

Artificial Intelligence (AI) is a sector that is projected to grow exponentially in the future. According to AI growth statistics, the industry will grow from $5 billion in 2015 to about $125 billion in 2025.

What is Artificial Intelligence?

Artificial Intelligence is the part of computer science that emphasizes machine capability to work like the human mind and perform human tasks without getting tired of doing it.

There has been a huge growth in Artificial Intelligence over the last few years. With this growth comes many opportunities for those who want to learn and get a job in Artificial Intelligence.

In this article, we will examine the guide to becoming an Artificial Intelligence engineer.

As the demand for AI engineers increases, they are increasingly working with machine learning, neural networks, and of course artificial intelligence-related frameworks to solve problems quickly and efficiently.

Who is an AI Engineer?
AI engineer is an IT specialist that builds AI models that are capable of learning, analysing and predicting future events, they create machines capable of reasoning like the human brain.

They make use of machine learning algorithms and deep learning neural networks to create AI models.

AI engineers have a sound understanding of programming, software engineering, and data science.

Responsibilities Of An AI Engineer
AI engineers are expected to perform specific responsibilities.

Let’s go through some of their responsibilities below.
-Artificial Intelligence Engineers Create AI models from concept to completion, they test, and deploy AI models,

-AI engineers interpret the usefulness of the AI models they create to individuals within the organization, which includes stakeholders and product managers.

-Convert the machine learning algorithm into application programming interfaces (APIs) so that they can be used by other applications.

-AI engineers responsibilities include to Automate infrastructure that the data science team can use to perform the statistical analysis of their results, which is very important for an organization.

-Build data ingestion and data transformation infrastructure.

Steps To Becoming An Artificial Intelligence Engineer

-Obtain The Required Education

Obtaining a relevant degree is the first step in starting a career in artificial intelligence. A bachelor’s degree in computer science, data science, engineering, physics, mathematics, statistics is generally required.

Furthermore, bagging Certifications in AI is a great way to meet the educational requirements and technical knowledge. A master’s degree may be required in some cases.

– Be Dedicated And Persistent

There are times it gets frustrating for AI engineers because they encounter complex tasks that they struggle to figure out how to solve. But the best thing to do in such situations is to be calm and dedicated.

– Ignore Myths Around AI

There are many myths around artificial intelligence, some of these myths give a false impression that AI is a tough nut to crack. But as an aspiring AI engineer, ignore them and focus on improving yourself.

– Apply For An Internship

Internships will help you grow and learn because you will experience many challenges, but there is an advantage because you will have people around to put you through things whenever you are stuck.

-Research

Research is essential in Artificial intelligence because you can’t just jump into something without not understanding what it is all about.

-Improve Your Maths And Programming Skills

Programming and mathematical skills are essential skills you must possess to become a successful AI engineer.

Proficiency in programming languages like Linux, SQL concepts, cloud, Java and Python etc, is a requirement if you want to do well in Artificial intelligence.

Skills Required To Become An AI Engineer

If you are interested in becoming an AI engineer here, are some of the skills required in this field.

Programming Skills
This is one of the most important skills the first skill an AI engineer must possess, programming languages, such as Python, R, Java, and C++ are crucial to AI engineers because they are used to build and implement models.

Detailed knowledge In Statistics, Linear Algebra And Probability

AI engineers must have a good understanding of Statistics, Linear Algebra and Probability, because to implement AI models such as Hidden Markov models, Naive Bayes, Gaussian mixture models, and linear discriminant analysis their knowledge of linear algebra, probability, and statistics is highly needed.

Detailed Analytical Skill
Analytical skills are not meant for data scientists alone, In so many cases AI engineers are required to analyse and interpret data. To do this effectively, you must be able to analyze information, develop insights and brainstorm possible solutions.

Understanding Algorithms and Frameworks
The job role of an AI engineer involves the use of Algorithms and Frameworks, and there are certain Algorithms used in the field of AI.

An AI engineer must possess the skill of understanding how machine learning algorithms like linear regression, KNN, Naive Bayes, Support Vector Machine, and others work.

AI engineers must have a detailed understanding framework used in artificial intelligence such as PyTorch, Theano, TensorFlow, and Caffe.

Communication Skills
An AI engineer without good communication skills is incomplete because aside from programming and other Analytical role, AI engineers pitch their products and ideas to stakeholders in this case they need to communicate properly for their ideas to be understood, so good communication is a big plus for ai engineers.

Critical thinking and problem-solving skills

For an AI engineer to come up with an excellent innovative project they must possess Critical thinking and problem-solving skills coupled with other skills. These skills will help an AI engineer to be a problem solver and also to come up with innovative ideas helpful for an organization.

Finally, the expertise of AI engineers is required in a variety of industries, including:
Financial services
Healthcare
Technology
Media
Marketing
Government and military
Agriculture
And many more.

As a Leading Data Science and Artificial Intelligence Powered Learning and Research Centre, we aim to educate our followers on the importance of what we do.

In this blog, we have covered the steps to help you become, an artificial intelligence engineer. If you follow these steps, you will be able to ignite your career in Artificial intelligence.