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Top careers after completing an artificial intelligence course

Artificial intelligence has revolutionized the world in unexpected ways. From unlocking your smartphones with your face to semi-automatic cars on the roads, from seeking IT support from chatbots to better content recommendations on online streaming platforms, artificial intelligence in today’s time touches every aspect of your life.  The wide application of artificial intelligence across industries makes it a promising career choice.

If you are excited about this advanced technology, we have compiled a list of opportunities that await you after completing an artificial intelligence course: 

• Data scientist: An artificial intelligence degree can help you land a job as a data scientist. As a data scientist, you will analyze information, data patterns, and trends. You will also get to work closely with business stakeholders and provide them with valuable insights for future predictions and crucial business decisions.

• Data engineer: As a data engineer, you are expected to have an in-depth understanding of several programming languages like Java and Python. While data scientists analyze the data, data engineers make the data available to data scientists. Data engineers build integrated data infrastructure for the companies that they work for.

• User experience specialists: Artificial intelligence can make the user experience better – and there’s no doubt about it. Many brands are already using artificial intelligence to give their consumers an experiential experience. From the retail industry and banking sector to real estate – artificial intelligence is adapted across industries to improve customer experience. As a user experience specialist, you will be responsible for understanding how humans interact with technology and how this interaction can be made better.

• Machine learning engineer: Both data scientists and machine learning engineers work with vast amounts of data. However, as a machine learning engineer, you will be expected to implement suitable algorithms and tools and develop apps as per the requirements of the clients. A machine learning engineer needs to have a thorough knowledge of programming, advanced machine learning algorithms, probability, statistics, and data modeling.

• Robotics scientist: Several industries are using robotics to reduce manual tasks. Be it healthcare, the automobile industry, or manufacturing, robots are being widely used in these industries. There is an increase in demand for robotics scientists who can program various machines.

If you want to set yourself up for success in this field, make sure you do a course on artificial intelligence from a reputed university like ours. United world School of Computational Intelligence (USCI) offers B.Sc. (Hons.) Artificial Intelligence and Machine Learning. The course is designed to give you an in-depth understanding of artificial intelligence. The course includes an industry-based internship with some leading IT companies in the country and a capstone project. All this is aimed at giving students hands-on training that will be needed in the real world.