Thanks to this Hybrid professional master’s degree, you will develop specialized technical skills in machine learning, data mining, neural networks and natural language processing"

Artificial Intelligence (AI) has experienced significant advances in recent years, transforming various industries thanks to emerging technologies such as large language models and deep neural networks. Engineers are implementing these technologies to optimize processes.

This is how this Hybrid professional master’s degree was created, which will address the historical evolution of AI, the principles of neural networks and genetic algorithms, as well as the importance of data structuring through thesauri and taxonomies. In addition, it will focus on the fundamental concepts of statistics, data classification and its life cycle, including planning, collection and storage in data warehouses.

Furthermore, the agenda will focus on data science and data mining, providing engineers with tools and techniques for information extraction, transformation and visualization, as well as data preparation and cleansing. Algorithm design strategies, algorithm efficiency analysis and agent theory will also be introduced, as well as knowledge representation and the semantic web.

Finally, from supervised and unsupervised learning to advanced Deep Learning techniques will be covered. Likewise, professionals will be able to personalize models with TensorFlow and apply Deep Learning in natural language processing. The degree will culminate with the study of Autoencoders, GANs and diffusion models, as well as in bio-inspired computing and AI implementation strategies in various sectors.

In this context, TECH has designed a university program that combines 100% online theory with a practical stay of 3 weeks in the most recognized companies in the sector. In this way, the first half of the program will be adapted to the graduate's work and personal schedule, who will only need an electronic device with an Internet connection. Additionally, it will be based on the revolutionary Relearning methodology, consisting of the repetition of key concepts for an optimal and organic assimilation of the contents.

You will expand your professional opportunities, positioning yourself at the forefront of technological innovation and being highly competitive in a constantly evolving labor market"

This Hybrid professional master’s degree in Artificial Intelligence contains the most complete and up-to-date scientific program on the market. The most important features include:

• Development of more than 100 case studies presented by experts in Artificial Intelligence
• Its graphic, schematic and practical contents provide essential information on those disciplines that are indispensable for professional practice
• Its special emphasis on innovative methodologies
• All of this will be complemented by theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection
• Furthermore, you will be able to carry out an internship in one of the best companies

You will spend an intensive 3-week stay in a prestigious institution specialized in Artificial Intelligence, where you will obtain the skills you need to boost your career as an engineer"

In this Hybrid professional master’s degree proposal, of professionalizing character and blended learning modality, the program is aimed at updating Computer Science professionals. The contents are based on the latest scientific evidence, and oriented in a didactic way to integrate theoretical knowledge into practice.

Thanks to its multimedia content elaborated with the latest educational technology, it will allow the IT professional a situated and contextual learning, that is to say, a simulated environment that will provide an immersive learning programmed to  specialize in real situations. This program is designed around Problem-Based Learning, whereby the physician must try to solve the different professional practice situations that arise during the course. For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.

You will delve into data science, mining and visualization techniques, and data preparation and cleaning for data mining, thanks to an extensive library of multimedia resources"

You will delve into advanced supervised and unsupervised learning techniques, as well as the application of Deep Learning, through the best didactic materials, at the forefront of education"

The academic degree will develop key competencies for engineers, equipping them with advanced technical skills and specialized knowledge in areas such as machine learning, data mining and neural network design. As such, professionals will be able to apply innovative methods to solve complex problems, using cutting-edge tools and techniques, such as TensorFlow, and Deep Learning models. In addition, skills in data management, predictive analysis and optimization of algorithms will be strengthened, preparing professionals to lead AI projects and address emerging challenges.

You will acquire a deep understanding of several key concepts, such as machine learning, data mining and neural networks, with the support of the Relearning learning methodology"

General Skills

• Master data mining techniques, including complex data selection, preprocessing and transformation
• Design and develop intelligent systems capable of learning and adapting to changing environments
• Control machine learning tools and their application in data mining for decision making
• Employ Autoencoders, GANs and Diffusion Models to solve specific challenges in Artificial Intelligence
• Implement an encoder-decoder network for neural machine translation
• Apply the fundamental principles of neural networks in solving specific problems

Specific Skills

• Apply AI techniques and strategies to improve efficiency in the retail sector
• Delve into understanding and application of genetic algorithms
• Implement noise removal techniques using automatic encoders
• Effectively create training data sets for natural language processing (NLP) tasks
• Run grouping layers and their use in Deep Computer Vision models with Keras
• Use TensorFlow features and graphics to optimize the performance of custom models
• Optimize the development and application of chatbots and virtual assistants, understanding their operation and potential applications
• Master reuse of pre-workout layers to optimize and accelerate the training process
• Build the first neural network, applying the concepts learned in practice
• Activate Multilayer Perceptron (MLP) using the Keras library
• Apply data scanning and preprocessing techniques, identifying and preparing data for effective use in machine learning models
• Implement effective strategies for handling missing values in datasets, applying imputation or elimination methods according to context
• Investigate languages and software for the creation of ontologies, using specific tools for the development of semantic models
• Develop data cleaning techniques to ensure the quality and accuracy of the information used in subsequent analyses

You will strengthen your analytical and problem-solving skills, as well as your ability to design, implement and optimize intelligent systems and AI models. What are you waiting for to enroll?"