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Artificial intelligence (AI) , sometimes known as machine intelligence, refers to the ability of computers to perform human-like feats of cognition including learning, problem-solving, perception, decision-making, and speech and language.

In essence, artificial intelligence engineering is the use of algorithms, computer programming, neural networks, and other technologies in the development of AI applications and techniques. These techniques and applications will typically have practical uses in commerce, science, and other aspects of life.

An artificial intelligence engineer must, therefore, be able to extract data efficiently from a variety of sources, design algorithms, build and test machine learning models, then deploy those models to create AI-powered applications capable of performing complex tasks.

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Instrumentation engineering is the branch of engineering that specialises on the principle and operation of measuring instruments that are used in fields of design, configuration of automated systems in electrical, pneumatic domains, etc.

The required tasks are very domain dependent; instrumentation engineers typically work for industries with automated process with the goal of improving the productivity, reliability, safety, optimisation and stability. Instrumentation engineers are commonly responsible for integrating the sensors with the recorders, transmitters, displays or control systems. They may design or specify installation, wiring and signal conditioning. They may be responsible for calibration, testing and maintenance of the system.