Diploma in
Generative AI for Content Creation and Design
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In collaboration with the Official Association of Architects of Madrid
This program is designed to help students understand the implications of generative AI in Architecture and creative disciplines. It focuses on learning through various tools based on text, images, and video.
The integration of artificial intelligence in the creative field is radically transforming the way content is designed and produced. In the field of architecture, generative AI is revolutionizing how architects and designers conceive, define, and present their projects. This paradigm shift justifies the creation of the Diploma in Generative AI for Content Creation and Design for several key reasons:
- Innovation in Architectural Design: Generative AI enables architects and designers to explore a much wider range of possibilities in design. Tools are available to facilitate the rapid creation of visualizations and renderings, allowing architects and designers to experiment with shapes, materials, and concepts more efficiently and creatively.
- Expanded Productivity in the Design Process: The automatic generation of visual content and 3D models significantly streamlines the design process, reducing the time needed to go from conceptualization to final presentation. This not only saves time but also frees architects and designers to focus on the more creative and strategic aspects of their work.
- Customization and Adaptability: Generative AI tools enable the creation of customized and adaptive designs that respond to specific client needs and environmental contexts. For example, the ability to generate multiple variations of a design based on different parameters allows architects to offer more precise and personalized solutions.
This journey is structured into three major blocks, with an eminently practical vision:
- Introduction to AI: Students will learn about the history of this technology, which began in the 1960s. They will grasp the basic concepts and understand how AI has evolved over time, going through various stages such as Machine Learning, Neural Networks, and currently, Generative AI.
- Developing Competences in Generative AI for Language: Students will acquire knowledge about the fundamentals of large language models (LLMs) and their application in text generation using advanced tools such as ChatGPT and Microsoft Copilot. Additionally, text extraction techniques from documents using retrieval-augmented systems (RAG) will be explored.
- Training in Generative AI for Images: The course includes extensive training in diffusion models and their applications in image generation. Students will learn to use tools such as DALL-E, Midjourney, and Stable Diffusion to create innovative and high-quality visual content. The generation of architectural renders with LookX will also be addressed.
- Training in Generative AI for Video and 3D Modeling: A deep understanding of the fundamentals of video and 3D models will be provided, with practical applications in video generation through platforms such as Runway and Sora, and in the creation of 3D content with tools like Luma AI and Bezi AI.
- Application Project: As a fundamental part of the program, students will develop a final project (FP) where they will apply all the knowledge acquired in a practical setting. This project will allow them to demonstrate their skills in using generative AI for content creation and put into practice everything they have learned during the training.
Course program 18 ECTS
- 3 ECTS | Introduction to AI
- 4 ECTS | Generative AI with Language
- 4 ECTS | Generative AI with Images
- 4 ECTS | Generative AI with Video & 3D
- 3 ECTS | Final Course Project
Professors
Raúl Boldú Toro
Profesor
Professor
Manager del Skill Center de Mixed Reality de Acciona. Es Ingeniero Industrial por la Universidad de Clarkson en Nueva York. Inicialmente era director de sucursal bancaria y decidió darle un giro a su carrera estudiando un máster de Realidad Virtual y Computación Gráfica. Ha realizado más de 20 proyectos de implementación de tecnologías 3D inmersivas para Museografía para Acciona Cultura, así como en la creación de vídeos 360 para contenidos inmersivos. Raúl está utilizando la IA para dotar de inteligencia a personajes 3D y explorando el mundo de la creación audiovisual usando IA Generativa.
José Daniel García Espinel
Profesor
Professor
Doctor Ingeniero de Caminos, Canales y Puertos especializado en Innovación Digital, Tecnología, Transformación Digital y Desarrollo de Producto. Actualmente lidera el equipo de Innovation Growth de Ferrovial, que tiene como objetivo el incrementar el valor de la Innovación a través de la comercialización externa y la generación de Nuevos Negocios. Cuenta con sólida experiencia profesional en Construcción de Infraestructuras, así como en Innovación y en el desarrollo de Nuevos Productos y Líneas de Negocio Digitales basados en Inteligencia Artificial, Internet de las Cosas, Cloud, Impresión 3D y Realidad Mixta/Virtual/Aumentada. Antes de incorporarse a Ferrovial, José Daniel ha desarrollado su carrera profesional en empresas como Prosegur, Dragados o Acciona, donde ha ocupado posiciones como Director de Innovación, Director de Transferencia Tecnológica, Director del Hub de Innovación Digital Avanzada y Director de Desarrollo de Producto Digital. Es Head of Digital Construction en la Universidad Nebrija.
Fernando Moral Andrés
Profesor
Professor
Doctor en Proyectos Arquitectónicos por la Universidad Politécnica de Cataluña, alcanzó el título de Máster (Arquitectura: Crítica y Proyecto) en la Escuela Técnica Superior de Arquitectura de Barcelona tras haber obtenido el título de arquitecto por la Universidad de Valladolid. Obtuvo la Beca Internacional de Investigación “Jorge Oteiza” de la Cátedra del mismo nombre de la Universidad Pública de Navarra durante el periodo 2005-2007. Ha participado en diferentes cursos, congresos y talleres organizados por la Universidad Complutense de Madrid, ETSAB-UPC, IE Business School, IIT, March- Moscow School of Architecture y Architectural Association, entre otros. Ha sido profesor y advisor en IE University-IE School of Architecture and Design, ESNE Escuela de Diseño, Innovación y tecnología. Ha comisariado exposiciones como “MECANOO architecten: the Dutch mountains” y “ÁBALOS+SENTKIEWICZ: 6 verticalscapes”. Prensa y publicaciones especializadas como Domus, Detail, On Diseño, dì, a+a, Arquitectura Viva o El Croquis han recogido su trabajo en diferentes ámbitos. Su obra ha sido reconocida con diferentes galardones como finalista en los premios “Arquitectura Plus 2013”, seleccionado para la XII Bienal Española de Arquitectura y Urbanismo (BEAU) o haber sido escogido por parte del Virserums Konsthall (Suecia) para participar en la Trienal “Architecture of Necessity”. Colabora con el Museo Nacional Centro de Arte REINA SOFÍA.
José Luis Navarro Salinas
Profesor
Professor
José Luis Navarro, también conocido como Lito, es un emprendedor que desentraña y explora tecnologías emergentes e inmersivas, con el objetivo de replicar y amplificar la "vida" con la tecnología, y hacerla tangible. Pionero en los campos de VR y AR, dentro de diversos sectores como Industrial, Entretenimiento, Eventos, Turismo, Salud, Deportes, Educación, Capacitación y Marketing. Ayudando a crear, explorar y desarrollar el METAVERSO. Director y productor de películas de video 360. Productor Senior de Multimedia para Fox Kids, Jetix. Consultor y Docente en tecnologías emergentes como la Inteligencia Artificial Generativa y las tecnologías inmersivas.
Christian Velasco Gallego
Profesor
Professor
Graduado en ingeniería en sistemas y tecnología naval por la Universitat Politècnica de Catalunya, graduado en ingeniería informática por la Universitat Oberta de Catalunya y es doctor en arquitectura naval, ingeniería marina y oceánica por la University of Strathclyde. Presenta experiencia investigadora en la aplicación de inteligencia artificial en el sector industrial. Actualmente es miembro del grupo de Investigación Aplicada en Ingeniería y Ciencias de la Computación (ARIES) de Universidad Nebrija, donde lidera la línea de aplicación de la inteligencia artificial en el sector marítimo. También es profesor de la asignatura de inteligencia artificial del grado en ingeniería informática de Universidad Nebrija y posee experiencia profesional como consultor técnico implementando herramientas de inteligencia de negocio y desarrollo de software. Sus principales intereses se centran en la aplicación de la inteligencia artificial, sistemas inteligentes en tiempo real, visión por computación y gemelos digitales.
More Academic Information
Competences
- Mastery of Large Language Models (LLMs): Understand and apply the fundamentals of LLMs in text generation.
- Advanced Text Generation: Use tools such as ChatGPT and Microsoft Copilot to create innovative textual content.
- Information Extraction from Texts: Apply retrieval-augmented generation (RAG) techniques to extract information from documents.
- Fundamentals of Diffusion Models: Understand the principles and applications of diffusion models in generating visual content.
- Image Generation: Utilize tools such as DALL-E, Midjourney, and Stable Diffusion to create high-quality images.
- Architectural Renders Generation: Create detailed 3D models and architectural renders using tools such as LookX.
- Video Generation: Produce innovative videos using platforms such as Runway and Sora.
- 3D Content Creation: Use tools like Luma AI and Bezi AI to generate interactive three-dimensional content.
- Creative Experimentation: Develop and explore new design ideas through the use of generative AI.
- Innovative Presentation: Create innovative and disruptive presentations to effectively communicate designs to clients and stakeholders.
- Resource Optimization: Apply AI techniques to optimize resource use in design and content production.
- Design Personalization: Generate customized and adaptive designs that respond to specific client needs and environmental contexts.
- Architectural Innovation: Incorporate generative AI tools into the architectural design process to explore new forms and concepts.
- Design Process Efficiency: Reduce the time needed to go from conceptualization to final presentation by automating tasks with AI.
- Sustainability and Resilience: Create designs that optimize resource use and improve the sustainability and resilience of built environments.
- Content Analysis and Evaluation: Evaluate the quality and effectiveness of AI-generated content.
- Technological Adaptability: Stay up-to-date and quickly adapt to new generative AI tools and technologies.
- Ethics and Responsibility in the Use of AI: Apply ethical principles in the use of AI technologies, ensuring responsibility and transparency in the creative process.
- Multidisciplinary Interaction: Effectively collaborate with professionals from various disciplines using generative AI tools and generating different types of content.
- AI Project Development: Plan, develop, and execute comprehensive generative AI projects, demonstrating a deep understanding and practical skills in the application of these technologies.
Methodology
The course has been designed with a strong practical component, allowing students to gain direct and realistic experience.
It will be taught face-to-face at Nebrija University and occasionally at the Official Association of Architects of Madrid (COAM), with streaming available to accommodate students from outside Madrid.
Recordings of the classes will be accessible on campus throughout the course duration.
Calendar and Schedules
Calendar
- End of enrollment period: January 14, 2025
- Start of course: February 3, 2025
- Months of instruction: February – May 2025
Schedules
- Monday: 17:30 to 20:30 hrs.
- Wednesday: 17:30 to 20:30 hrs.
- Friday: 17:30 to 20:30 hrs.
Admission
Possible candidates: All graduates who are interested in creative fields, especially those currently working professionally in the field of architecture.
They will be managed by the corresponding department without the need for an interview and will only need to submit the usual documentation required for such cases.
