Master in Artificial Intelligence

This study provides a comprehensive set of skills and knowledge to develop, implement and manage intelligent systems. It prepares you to face the technical and ethical challenges of AI and to apply these technologies in a wide variety of professional contexts, promoting innovation and efficiency in organizations and trains the student in: - Fundamentals of AI: You will learn the fundamental principles and theories of artificial intelligence, including the history, the main methodologies and the key concepts. - Machine Learning: You will develop skills in machine learning techniques, such as regression, classification, clustering and dimensionality reduction, using tools and programming languages ​​such as Python and R. - Neural Networks and Deep Learning: You will train in the design and implementation of deep neural networks, learning to build and train complex models for tasks such as image recognition, natural language processing and sequence analysis. - Natural Language Processing (NLP): You will acquire knowledge about techniques and tools for the analysis and generation of natural language, applying models for tasks such as machine translation, sentiment analysis and chatbots. - Computer Vision: You will learn to design and develop computer vision systems, working on problems such as object detection, facial recognition, and interpretation of images and videos. - Robotics and AI: You will develop skills to apply artificial intelligence in robotic systems, including autonomous navigation, object manipulation, and human-robot interaction. - Big Data and AI: You will be trained in the management of large volumes of data and in the application of artificial intelligence techniques to extract valuable knowledge and make informed decisions. - Ethics and Regulation in AI: You will learn about the ethical considerations and regulations related to the development and implementation of artificial intelligence systems, ensuring responsible and sustainable use of technology. - Data Engineering and Preprocessing: You will learn to prepare and clean data, as well as use feature engineering techniques to improve the performance of AI models. - Implementation and Deployment of AI Models: You will develop skills in the implementation and deployment of AI models in production environments, using AI frameworks and platforms such as TensorFlow, PyTorch and AWS. - Research in AI: You will train in research and development methodologies in the field of artificial intelligence, contributing to the advancement of knowledge through scientific projects and publications. - AI Applications in Various Sectors: You will learn to apply artificial intelligence techniques in different sectors, such as health, finance, manufacturing, marketing and security, identifying opportunities to improve processes and create value.