What courses do you need to study to dedicate yourself to Artificial Intelligence?

The rise of artificial intelligence It had its peak when ChatGPT broke into social networks and began to be used and studied by countless users. However, this is something that is constantly developing and very little is known about it, so the job market in that area opens up enormous possibilities for those who wish to specialize in this subject. Because of this, It is essential to know which careers to study to dedicate yourself to AI.

Despite being founded in 2015, artificial intelligence had its boom on the internet only a couple of years ago. Millions of people have started using ChatGPT and other artificial intelligence in both work and daily life. Although it is very easy to enter and formulate any type of question or suggestion, the truth is this Few know how to fully exploit these tools.

In Argentina, There are many companies that have incorporated artificial intelligence into their business, using them as the main tool or as something additional to the work already done. Others, even if they haven’t introduced it, are starting to study it and see how it can be productive for their business or enterprise. However, lack of experience and knowledge is the problem main obstacle to the possibility of applying its use appropriately.

Although there are many of them online and in-person courses that provide information on artificial intelligence, there are some universities that already offer degrees such as “Artificial Intelligence Engineering”.

However, industry specialists themselves recognize that they are very far from knowing everything about artificial intelligence.. There are some careers that span much of the AI ​​spectrum, and having these studies will allow you to have a greater advantage over the rest of the people.

Something essential to study artificial intelligence is programming, automation and data processing. It is also essential to have intermediate/advanced knowledge in mathematics and physics.

The same happens with the mobile, web and backend developers, etc., and to a lesser extent with other training fields such as computer or system engineering or with careers as graphic designers. Without prior knowledge of these topics it will be extremely difficult to access them from the world of artificial intelligence.

Tips for learning artificial intelligence

When asked about the elements and characteristics to take into consideration when you want to study and become professionals with artificial intelligence, ChatGPT reply with the following advice:

• Fundamentals of mathematics and statistics: Strengthen your skills in linear algebra, calculus, and probability. These concepts are fundamental to understanding artificial intelligence algorithms and models.
• Programming– Become familiar with common AI programming languages, such as Python. Check out popular libraries like TensorFlow and PyTorch.
• Understanding the basic concepts of Machine Learning (ML)– Learn about classification, regression, clustering, and other ML basics. Understanding how algorithms work will give you a solid foundation.
• Learn more about neural networks and deep learning: studies the architectures of neural networks and their functioning. Deep neural networks are central to most modern artificial intelligence applications.
• Practice with hands-on projects– Apply what you learn in practical projects. They can be challenging, but they provide valuable hands-on experience.
• Explore AI applications– Examine specific use cases for AI in areas such as natural language processing, computer vision, robotics, etc. This will help you understand the practical applications of artificial intelligence.
• Stay up to date: Artificial intelligence is evolving rapidly. Follow blogs, conferences and academic journals to stay up to date on the latest trends and developments.
• Participate in communities: Join online communities, forums and discussion groups. Sharing knowledge and experiences with other students and industry professionals can be very enriching.
• Work in software development: Develop your programming skills and become familiar with software engineering. Many AI applications require strong development skills.
• Develop problem solving skills: Artificial intelligence often involves solving complex problems. Develop your ability to break down problems and find effective solutions.
• Ethics in artificial intelligence– Understand the ethical implications of artificial intelligence. As you work on projects, consider the social and ethical consequences of your decisions.
• Perseverance and patience– AI can be challenging, but persistence is key. Learn from challenges and maintain an attitude of continuous learning.