Courses to broaden your knowledge of artificial intelligence

Artificial intelligence (AI) has been pervasive in our lives for several years now. While there is no exact definition of AI, one description could be "the ability of a machine to display human-like capabilities such as reasoning, learning, planning and creativity". This process is done through the creation and application of algorithms. In other words, AI refers to the ability of computers, software and other machines to think and act as humans would.

Artificial intelligence allows the development of different use cases that facilitate decision-making or provide solutions to complex problems. As a result, artificial intelligence has been able to revolutionise not only the business world but also the social sphere, with applications ranging from the rapid detection of cancer to the fight against deforestation in the Amazon, to name but a few examples.

Given all these advantages, it is not surprising that in recent years the demand for professional profiles related to this field has grown. Therefore, here are some examples of interesting courses and training that could help you to broaden your knowledge of artificial intelligence.

Online courses

Elements of AI

• Taught by: University of Helsinki and Reaktor
• Duration: 50 hours
• Language: English
• Price: Free

This massive open educational project (MOOC), which has already enrolled more than 750,000 students, offers you the opportunity to learn what artificial intelligence is, as well as showing how it can affect your work and personal life and how it will evolve in the coming years.

This course, which offers all citizens the possibility of training and first-hand knowledge of how AI works and the opportunities it offers, has been promoted in our country by the Secretary of State for Digitalisation and Artificial Intelligence together with the UNED.

Building AI

• Taught by: University of Helsinki and Reaktor
• Duration: 50 hours
• Language: English
• Price: Free

The authors of the previous course launched this new course some time later with the aim of closing the gap between courses for beginners such as 'Elements of AI' and the vast majority of training courses in this field, which usually present a more advanced level.

This course, which starts where the previous one ends, will help you to delve deeper into elements such as machine learning, neural networks or some practical applications of AI. It also offers you the option of setting up your first artificial intelligence project and getting started in programming if you wish.

Specialised programme: Introduction to artificial intelligence

• Taught by: Coursera (UNAM)
• Duration: 8 meses
• Language: Spanish
• Price: Free

This course is aimed at people who are interested in learning more about the different developments that have been generated over the last few years in the field of artificial intelligence.

If you opt for this training you will learn how to implement AI technology for a specific purpose, how to compare the solution you have developed with other existing ones or how to report the results obtained in a structured test.

Machine Learning Crash Course

• Taught by: Google
• Duration: 15 hours
• Idioma: English
• Price: Free

Through this course you will learn some key concepts such as the detailed study of machine learning and you will take your first steps with the TensorFlow API, among others.

To attend this course, it is recommended: some programming experience (preferably in Python), basic knowledge of machine learning, statistics, linear algebra and calculus.

Machine Learning

• Taught by: Coursera (Stanford)
• Duration:: 60 hours
• Language: English (English subtitles)
• Price: Free (47€ if you wish to apply for a certificate)

This is a MOOC on machine learning created by Andrew Ng, founder of the Google Brainproject in 2011 and the online course platform Coursera.

Through this course you will cover topics such as supervised and unsupervised learning, statistical pattern recognition or the application of 'best practices' in this field. In addition, you will also learn how to apply learning algorithms to the construction of intelligent robots, among many other aspects.

Masters

The current training offer on artificial intelligence does not only come in the form of courses. An increasing number of universities and study centres are offering their students specialised programmes and university master's degrees related to the field of AI. Here are just a few examples:

• Official Master's Degree in Computer Security and AI, Rovira i Virgili University (60 ECTS credits, one academic year): its programme covers research topics related to information protection, application security, machine learning, modelling and problem solving, among others.
• University Master's Degree in Artificial Intelligence, University of Santiago de Compostela (USC) (90 ECTS credits, 18 months): it offers students the possibility of broadening their knowledge in areas such as natural language processing, robotics, AI fundamentals or data engineering.
• Master's Degree in Intelligent Systems and Numerical Applications in Engineering, University of Las Palmas de Gran Canaria (ULPGC) (60 ECTS credits, 1 academic year): it introduces students to the bases and fundamentals of some leading areas such as computational modelling and numerical simulation of engineering problems, the use and development of intelligent and autonomous systems, or methods of data analysis and interpretation.
•  Master in Artificial Intelligence, Universitat Politécnica de Catalunya (90 ECTS credits, 18 months): it offers a solid foundation and advanced knowledge in artificial intelligence. In this master's degree you will learn key concepts in computational intelligence, computer vision and multi-agent systems.
• Master's Degree in Applied Artificial Intelligence, Universidad Carlos III Madrid (60 ECTS credits, 1 academic year): it allows students to understand the most relevant AI methods and techniques and apply them to develop appropriate solutions to different types of problems.
• Master's Degree in Artificial Intelligence, UNIR (60 ECTS credits, 1 academic year): in this master's degree you will learn techniques of computational perception and artificial vision, automatic reasoning and planning, machine learning and deep learning, Natural Language Processing, as well as the technologies needed to implement them.
• Master's Degree in AI Research, Spanish Association for Artificial Intelligence (AEPIA) (60 ECTS credits, one academic year): it has three specialisations: Learning and Data Science, Web Intelligence and Reasoning and Planning.
• Master in Artificial Intelligence, Universidad Europea (30 ECTS credits, 8 months): aimed at providing students with an integrated vision of Artificial Intelligence and the mastery of advanced Machine Learning and Computational Optimisation techniques.

This has been just a small compilation of training courses related to the field of artificial intelligence that we hope will be of interest to you. If you know of any other course or master's degree that you would like to recommend, do not hesitate to leave us a comment or send us an email to dinamizacion@datos.gob.es.