You will develop skills to analyze design data, which will allow you to obtain useful information about user patterns and market trends"

Intelligent Systems have become an indispensable resource for designers, as they analyze user data to identify patterns and trends. In this way, experts can optimize their designs to provide them with better usability and improve the user experience. In addition, they can automatically identify design errors and problems in development prototypes. Thanks to this, professionals correct their projects before they are launched, therefore reducing the risk of problems after implementation. In this scenario, TECH has developed a program consisting of a 120-hour stay in a reference entity in the field of Artificial Intelligence in Design. 

Throughout 3 weeks, the graduates will become part of a team of specialists of the highest level, with whom they will work actively in the creation of creative products. In this way, students will develop advanced skills to handle tools such as TensorFlow, Deep Dream Generator or Fotor. Thanks to this, they will optimize their daily practice and make the most of the multiple opportunities offered by this industry. 

On the other hand, during the on-site stay, the graduates will have the support of an assistant tutor. This figure will be in charge of ensuring compliance with all the requirements for which this Internship Program has been designed. At the same time, they will resolve any doubts that may arise during the academic itinerary and will provide students with personalized advice according to their needs. Undoubtedly, this is an ideal learning proposal for designers who want to acquire new skills to carry out highly innovative and creative proposals.

You will have access to a library of multimedia resources 7 days a week, 24 hours a day"

This Internship program will provide designers with technical skills in key areas of Artificial Intelligence, including Natural Language Processing, Computer Vision or Deep Learning. In this way, graduates will carry out projects using techniques such as user experience personalization, automatic design generation and user behavior analysis. At the same time, students will effectively handle sophisticated tools such as TensorFlow to create generative models capable of automatically generating visual elements. 

Develop Virtual Assistants specialized in Design to automatically generate designs and prototypes of digital products”

General Objectives

• Understand the theoretical foundations of Artificial Intelligence
• Study the different types of data and understand the data lifecycle
• Evaluate the crucial role of data in the development and implementation of AI solutions
• Delve into algorithms and complexity to solve specific problems
• Explore the theoretical basis of neural networks for Deep Learning development
• Analyze bio-inspired computing and its relevance in the development of intelligent systems
• Analyze current strategies of Artificial Intelligence in various fields, identifying opportunities and challenges
• Develop skills to implement Artificial Intelligence tools in design projects, covering automatic content generation, design optimization and pattern recognition
• Apply collaborative tools, leveraging Artificial Intelligence to improve communication and efficiency in design teams
• Understand the symbiosis between interactive design and Artificial Intelligence to optimize user experience
• Develop skills in adaptive design, considering user behavior and applying advanced Artificial Intelligence tools
• Understand the transformative role of Artificial Intelligence in the innovation of design and manufacturing processes

Specific Objectives

• Analyze the historical evolution of Artificial Intelligence, from its beginnings to its current state, identifying key milestones and developments
• Understand the functioning of neural networks and their application in learning models in Artificial Intelligence
• Analyze the life cycle of data, from generation to disposal, identifying key stages
• Explore the initial stages of the data life cycle, highlighting the importance of data planning and structure
• Analyze supervised and unsupervised models, including methods and classification
• Use specific tools and best practices in data handling and processing, ensuring efficiency and quality in the implementation of Artificial Intelligence
• Master the techniques of statistical inference to understand and apply statistical methods in data mining
• Perform detailed exploratory analysis of data sets to identify relevant patterns, anomalies, and trends
• Introduce algorithm design strategies, providing a solid understanding of fundamental approaches to problem solving
• Analyze the efficiency and complexity of algorithms, applying analysis techniques to evaluate performance in terms of time and space
• Evaluate and compare different knowledge representations, integrating these to improve the efficiency and accuracy of intelligent systems
• Study clustering techniques to identify patterns and structures in unlabeled data sets
• Develop skills in Adaptive Design, considering user behavior and applying advanced AI tools
• Implement Transfer Learning as an advanced technique to improve model performance on specific tasks
• Implement mass customization strategies in production using Artificial Intelligence, adapting products to individual needs
• Apply microchip architecture optimization techniques using AI to improve both performance and efficiency

This Internship program offers you the opportunity to develop in a real work scenario, with the guarantee of an institution at the forefront of technology"