In the recent years, Artificial Intelligence careers are very much in demand and have grown exponentially courtesy the digitally transformed industries and their job requirements. While there are plenty of jobs in artificial intelligence, there’s a significant shortage of top tech talent with the necessary skills.
What is Artificial Intelligence?
Artificial Intelligence and Machine learning are integral elements of computer science & are closely connected to each other. AI is a type of intelligent system which acts like the human brain, when the machine learns to command and take decisions like a human.It’s a technological development that helps us in data handling, quick calculations and to construct machines & programs that can think like humans.
What is Machine Learning?
A subset of AI which makes a machine to automatically learn from past data, make predictions or take decisions accordingly, without any detailed program. It uses both types of structured and non-structured data to come to accurate results.
Why pursuing AI as a career is a good idea?
According to a Gartner report, in the coming years, Artificial intelligence will pave the way to almost 2.3 million opportunities &the vacancies in this field have doubled over the last three years. Career opportunities in AI are vast for beginners because the competition is still not very prominent.
As an AI aspirant, one can have ample of job opportunities that includes machine learning engineer, data scientist, business intelligence developer, research scientists, and artificial engineer
For a Career as an Artificial Intelligence Engineer
You need:
Apart from a bachelors degree, one must also have desired proficiency in analytical skills, problem-solving skills, creative thinking, effective communication, and industry knowledge. These skills can be achievable through online re-skilling or taking up a Master’s degree. If you’re already a software engineer, you can easily become an artificial intelligence developer with a few AI-focused courses
Top 5 Careers in Artificial Intelligence
1) Machine Learning Engineer:
Machine learning engineers play the key role of building and managing platforms for machine learning projects.
The role of a machine learning engineer is at the crux of AI projects and is suitable for those who come from a background in applied research and data science. It is also necessary to be an AI programmer and have a great understanding of multiple programming languages.
Machine learning engineers should also be able to apply predictive models and leverage natural language processing when working with enormous datasets.
2) Data Scientist:
A data scientist is responsible for collecting, analyzing, and interpreting large, complex datasets by using both machine learning and predictive analytics. They also play an important role in developing algorithms that enable acquisition of data for analysis. Data scientists are must possess strong analytical and communication skills for efficiently communicatingresearches with Business & marketing leaders in the organisation
3) Business Intelligence Developer:
Artificial intelligence career scope also includes the position of business intelligence (BI) developer. Primary role of this profile is to analyze complex data to derive & predict market trends. Business intelligence developers play a key role to improve the ROI of a business which is a much-coveted skill!
4) Research Scientist :
One of the most in-demand careers in AI is that of a research scientist who are certified experts in multiple AI disciplines, including applied mathematics, machine learning, deep learning, and computational statistics. A Research Scientist must possess extensive knowledge and experience in computer perception, graphical models, reinforcement learning, and natural language processing.
5) Big Data Engineer:
A Big data engineer plays a key role in developing an ecosystem that enables business systems to communicate with each other and collate all useful & required data. The person must have a significant programming experience with C++, Java, Python, and Scala & experience in Data mining & migration
School of Computer Science and Applications at REVA UNIVERSITY
The School of Computer Science and Applications at REVA UNIVERSITY is offering B.Sc. (Honours) in Computer Science (with specialization in Cloud Computing& Big Data) programme as a three-year undergraduate degree programme to create motivated, enthusiastic, thinking and creative graduates to fill the roles as computer algorithm developers, computer programmers, computer application developers, professors, scientists, professionals and administrators.
B.Sc. (Honours) in Computer Science (with specialization in Cloud Computing & Big Data) has been designed and developed by industry experts. The cloud related subjects are handled by corporate trainers and it is in par with the industry standards.
The curriculum is outcome based and it imbibes required theoretical concepts and practical skills in the domain. By undergoing this programme, students develop critical, analytical thinking and problem solving abilities for a smooth transition from academic to real-life work environment. In addition, students are trained in communication skills and interdisciplinary topics to enhance their scope.
