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To build a successful career in the field of artificial intelligence, the following skills are required.

Artificial intelligence has become the most popular sector in the tech industry at present. It is also a very popular choice of career for aspiring students. The following are the essential requirements that the aspirants must hone to make a successful career in artificial intelligence.

Educational Requirements

To build a career in artificial intelligence, students must acquire a bachelor’s degree in computer science, information technology, mathematics, statistics, finance, or economics. They should also be proficient in analytical skills, problem-solving skills, creative thinking, effective communication, and industry knowledge. A Master’s degree in advanced computer science education with a specialization in artificial intelligence or a Master’s degree in artificial intelligence will allow the students to weave their AI career. A working professional from the IT industry can build their skills in practical as well as technical knowledge regarding AI.

Technical Skills

Students aspiring for an AI career should learn programming languages like R, Python, Java, and C++. They should have a knack for coding. This will help them understand concepts like data structures and classes. Learning more than one programming language will always prove to be an added advantage since organizations these days are focusing on individuals with multiple skill-sets. Statistics, Linear Algebra, and Calculus would help them understand how algorithms and machine learning would function. A solid understanding of probability and models like Naive Bayes, Hidden Markov models, and Gaussian Mixture models are required. Familiarity with vectors, matrices, matrix multiplication, and understanding of integrals and derivatives are also advisable to be acquired for an aspiring AI engineer. They should also know more about neural network architectures, which have a vital role to play in performing acts of speech recognition, image classification, and translation.

Non-Technical Skills

Building an AI career does not only require technical skills but an AI engineer must also have the ability to explain matters in a simple way to people of the industry. While discussing the analytics with company people, using technical languages will not be helpful as everyone is not familiar with them. So, the AI engineer will be required to explain critical matters to the stakeholders and industrialists. This is why non-technical skills are very important.  In-depth knowledge regarding the industry scenario will also prove beneficial for AI professionals working in this field since this will help them understand the real-world scenario and the main issues of the industry.

Critical Thinking

After acquiring technical and non-technical skills, AI aspirants must develop a bridge between those skills. After creating structured smart data, AI engineers should come up with insightful conclusions from those findings. With the emergence of AI, every sector is now looking to implement artificial intelligence making the demand for professionals a lot higher.

An amalgamation of all these skills would make the most successful career in the field of AI. Posts like big data engineers, program developers, and data analysts have high salaries and come with a lot of responsibility. The most important matter is that without a knack for coding and programming language, building a career in this field is almost impossible.

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