Duration: 4 years
Artificial intelligence (AI) makes it possible for machines to learn from experience, adapt to new inputs, and perform human-like tasks. Most examples of AI you hear today – from computers playing chess to self-driving cars – are based on deep learning and natural language processing. Using these technologies, computers can be trained to perform specific tasks by processing large amounts of data and recognizing patterns in the data.
History of Artificial Intelligence
The term artificial intelligence was coined in 1956, but artificial intelligence has become more popular today thanks to increased data volumes, advanced algorithms, and improvements in computing power and storage.
Early AI research in the 1950s explored topics such as problem solving and symbolic methods. In the 1960s, the US Department of Defense took an interest in this type of work and began training in computers to mimic basic human reasoning. For example, the Defense Advanced Research Projects Agency (DARPA) completed street mapping projects in the 1970s. DARPA produced intelligent personal assistants in 2003, long before Siri, Alexa or Cortana were household names.
This early work paved the way for the automation and formal reasoning we see in computers today; these include decision support systems and intelligent search systems that can be designed to complement and strengthen human capabilities.
While Hollywood movies and science fiction novels portray AI as human-like robots taking over the world, the current evolution of AI technologies isn't all that scary or quite intelligent. Instead, AI has evolved to provide many specific benefits in every industry from health to education etc.
The data produced in almost every sector such as internet, energy, telecommunications, automotive, health, education, retail, security, logistics, finance has reached enormous dimensions and this increase is expected to continue in the coming years. The efficient processing of data obtained by the rapid application of concepts and technologies such as the internet of things, cloud computing and big data analytics in the production and service sectors is one of the issues with the highest added value for countries and companies.
Artificial Intelligence Engineering students will be entitled to produce this added value with the training they will receive on topics such as machine learning, deep learning, image processing, natural language processing, data analysis, data visualization, computer games, robotics, business intelligence, CO. with branded courses within the scope of the OP system, you will have the opportunity to meet leading engineers in the field of artificial intelligence during your education and our graduates will be employed as engineers needed in almost every sector.
Artificial Intelligence Engineering
People who program machines to work as if they were human brains and design machine learning algorithms are called artificial intelligence engineers. Artificial intelligence engineers who program machines to perform movements in a logical and efficient way can work in software companies. It is also a profession that will be needed in hospitals, factories and the service sector in the future.
What Does an Artificial Intelligence Engineer Do? What are their Duties and Responsibilities?
Analyzing human behavior in problem solving and decision-making processes, artificial intelligence engineers work on the operation of machines, decision-making processes and the organization of systems in the face of various problems. Among the duties of artificial intelligence engineers are:
● Coordinating between data engineers and business managers and experts,
● Automate the infrastructure used by the data science team,
● Organizing machine learning models in a way that other practitioners can easily access and use,
● Testing and running artificial intelligence models,
● Making machine learning useful and ensuring that processes become automated.
Requirements to Become an Artificial Intelligence Engineer
In order to carry out the task of artificial intelligence engineering, it is important to graduate from the artificial intelligence engineering departments of universities. In addition, people who graduated from computer engineering or software engineering departments of universities can also carry out this profession if they improve themselves in the field of artificial intelligence.
People who want to become an artificial intelligence engineer must graduate from the Artificial Intelligence Engineering department of universities, which provides a 4-year education. Artificial intelligence engineers usually work in private sector organizations and public affiliates.