What Should You Study to Work in Artificial Intelligence

What should you study to work in artificial intelligence?
The rise of new technologies and their ubiquity in daily life is radically changing the way we conceive our leisure, our social relationships, and our way of working. It has also given rise to new professions that, sometimes, do not yet have a defined study path, such as video game developer.
Drone air traffic controller, Nanorobot driver, Engineer of a smart factory… Artificial intelligence (AI) is beginning to revolutionize the labor market. And you, what will you be when you grow up?". According to data from the Observatory for Employment in the Digital Era , 80% of Spaniards between 20 and 30 years old will work throughout their careers in professions that are still in their infancy.
The precise situation is less optimistic and even worrying. The global shortage of professionals with higher education in this field will be forty million in 2020. However, AI is a field in which there are more and more opportunities for training, both basic and specialized education in areas such as 'big data', robotics, computational intelligence.
AI is a cocktail of disciplines and applications. The demand for professionals is so new that a solid combination of STEM knowledge , updated almost in real time, They can help to carve out a space in these newly emerging positions. People with training in science fields with a good foundation in mathematics, people with degrees in technical engineering, find it easier to guide their training.
The best bet, Today, is offered by the countries that have introduced the subject of computational thinking in primary and secondary education. Students of the future need to know this language, even if they eventually study any other scientific field such as medicine, biology, architecture, economics..., recommends Andrés Pedreño , the rector who turned the University of Alicante (UA) into a technological benchmark in the academic world, in addition to being one of the greatest Spanish experts in digital economy. It is important to complete the information with knowledge of computer science at the level of programming and design, agrees Manuel Martín Molina , professor of the Department of Artificial Intelligence at the Polytechnic University of Madrid
For the former rector of the University of Alicante and currently president of the laboratory of concepts It&Is Siglo XXI , the issue is of the utmost urgency and relevance, since, in his opinion, there is no future positioning for our country, nor human capital formation without a good educational foundation in computational thinking.
For Martín Molina it is also important to break some of the stereotypes associated with computer science. Certain images of computer scientists – for example, as geeky people, point out- are harmful for generalizing this profession, they usually lean more towards a male sector and can prevent the participation of people with great potential talent for artificial intelligence.
The university takes the lead
Universities are already starting to offer specific training in AI. But the first step is an undergraduate degree with an important foundation in mathematics and engineering such as, for example, computer science, mathematics, physics, related engineering fields such as telecommunications or industrial engineering. Then, the best is a postgraduate specialization (master's, doctorate) in areas of artificial intelligence. For example, hay másteres oficiales de gran calidad relacionados con inteligencia artificial (en aprendizaje automático, robótica…) en universidades públicas españolas”, explica Martín Molina.
Estos estudios suelen incluir contenidos de representación del conocimiento y razonamiento (para realizar automáticamente planificación, diagnóstico…), machine learning, robótica cognitiva, percepción computacional (for example, visión artificial reconocimiento del habla) y procesamiento de lenguaje natural (como la comprensión de textos, la generación de textos).
In any case, los matemáticos y los ingenieros en computación tienen una base excelente para pivotar hacia campos como el ‘ machine studying ‘ y el ‘deep learning artificial intelligence blog‘”, afirma Pedreño. A su juicio, Hybridization with data scientists could complete the most competitive training.
Distance learning options
Simultaneously, Distance degrees and MOOCs (Massive Open Online Course) Provide excellent training in AI. After completing a basic curriculum, One can always start specialization in a specific domain: 'Huge data', robotics, Computational intelligence, among others.
Online training’ Is highly recommended and in-person there is a growing and increasingly competitive offer. In the opinion of experts, Udacity , Coursera and EdX , Among other platforms, Are offering excellent courses in MOOC format that cover autonomous driving, Introduction to AI, 'Machine learning'’ and neural networks among other AI techniques. Systems like TensorFlow , the AI library that Google has released as open source, and Microsoft's Cognitive Toolkit , place learning platforms within reach of almost anyone.
There is also official regulated specific training in AI, provided by non-face-to-face universities on 'e-studying' platforms, as is the case in Spain with the UNED (Master's in Advanced AI), the most recent initiative promoted by the Spanish Association for Artificial Intelligence ( AEPIA ) and the UIMP , a research Master's in AI Also the University of La Rioja (UNIR), with various courses and master's programs , offers online training around AI.
Cuanto más rápido avancemos en una formación de calidad en todos los frentes, mucho mejor”, alienta Andrés Pedreño, desde Alicante. Lo importante”, points out, es poder trabajar y comprender a los especialistas en IA”. Para el experto, el primer paso debería pasar por una aproximación conceptual a la materia, lo que contribuye a romper las barreras de este lenguaje.
Quizás más que en otras disciplinas, la formación continua es fundamental en esta profesión, cuyas técnicas evolucionan de una forma muy rápida. Dado el grado de innovación previsible, hará falta que los futuros trabajadores diseñen una estrategia formativa muy sólida. Hoy el ‘networking’ internacional es sorprendente. Aparte de identificar al mejor talento, propicia redes muy valiosas para complementar conocimientos y concebir nuevos avances”, comenta Pedreño, quien aventura el gran reto que las universidades tienen por delante en la materia.
El profesional que trabaje en IA debe tener capacidad de aprendizaje autodidacta, manejar con eficacia publicaciones en inglés sobre revistas técnicas y científicas y otros recursos en web y redes sociales.
El 2018 será, además, un muy buen año para la IA. El eighty% de las grandes organizaciones invertirá en este área, el 60% llevará a cabo pruebas de concepto y todas ellas, según Joseph Reger, jefe de Tecnología de Fujitsu, sufrirán un déficit de trabajadores capacitados Este año será el principio del fin del mercado de trabajo como lo conocemos. AI is not just the future, it is the immediate present.
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What should you study to work in artificial intelligence?
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