Mathematics Course for Artificial Intelligence + 8 ECTS Credits Mathematics Course for Artificial Intelligence + 8 ECTS Credits

Online Training

Mathematics Course for Artificial Intelligence + 8 ECTS Credits

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200 hours

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8 ECTS

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Spanish

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$ 5,393

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Mathematics Course for Artificial Intelligence + 8 ECTS Credits

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Details to take into account

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Multilingual support

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Digital certificate included

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Assistant Phia

Objectives

- Understand the essential mathematical foundations for artificial intelligence. - Apply linear algebra to represent and manipulate large data sets. - Use differential and integral calculus for optimization problems in AI. - Analyze probability and random variables to model uncertainties. - Implement statistical techniques for the analysis of complex data. - Explore vector algebra and geometry in multidimensional spaces. - Develop numerical methods to solve practical problems in AI.

Content

Career opportunities

The main professional opportunities of this Mathematics for Artificial Intelligence Course are focused on areas such as data science specialized in AI, machine learning engineering, real-time data analysis, development of optimization algorithms, signal processing specialist, predictive analysis consulting, among others.

What it prepares you for

By completing the Mathematics for Artificial Intelligence Course, you will prepare to apply mathematical foundations to solve complex problems in AI. You will master linear algebra and apply differential and integral calculus to optimize models. You will be able to use probability and statistics for data analysis, and you will use numerical methods and Fourier transforms in signal processing.

Addressed to

The Mathematics for Artificial Intelligence Course is designed for professionals and graduates in the technological and scientific sector who seek to strengthen their understanding in fundamental areas such as linear algebra, differential and integral calculus, and information theory. Ideal for those interested in applying numerical methods and Fourier analysis in the field of AI.

Methodology

Our training is 100% online, which allows students to self-regulate their study and adapt it to their own needs. We are committed to personalized and autonomous teaching, with an approach based on critical thinking and constructivism.

We have a highly specialized teaching team that will accompany you throughout the entire teaching-learning process. This will allow you to personalize your training even more, since we adapt to your pace and needs.

You will have access to our learning platform, MyLXP, from any device and at any time of the day, allowing you to decide how and when to study. All of this is possible thanks to our Educa LXP (Learning Experience Platform) methodology, an environment designed to boost your educational progress, encourage innovation and offer a personalized learning experience adapted to each need.

Certificación

Degree in Mathematics Course for Artificial Intelligence with 200 hours and 8 ECTS issued by UTAMED - Atlántico Mediterráneo Technological University
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Diploma certificado

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