By integrating AI into Design, you will not only accelerate and optimize this process, but you will also enter a world of creative and personalized opportunities that were previously unimaginable”

Artificial Intelligence (AI) brings a unique ability to analyze large amounts of data, identify patterns and trends, and apply that knowledge efficiently in the creative process. This leads to greater efficiency in idea generation, allowing designers to explore and refine concepts more quickly and accurately. In addition, AI facilitates customization and adaptation to individual preferences, creating more intuitive and engaging user experiences.

This is how this Postgraduate Diploma in Innovation in Innovation in Design through Artificial Intelligence was born, a comprehensive program that will immerse graduates in the fascinating convergence between Graphic Design,

Artificial Intelligence and industrial design. This program will cover a wide range of topics, from the automatic generation of visual content to the optimization of industrial design processes through AI.

Likewise, designers will analyze how AI can radically transform the creative process in Graphic Design, including predicting trends and improving collaboration through emerging technologies. In addition, they will dive into the practical application of AI in Design, from the integration of virtual assistants, to AI-assisted collaboration in editorial teams.

Likewise, it will offer a comprehensive and profound vision of how AI is transforming and empowering the field of Design, preparing professionals to face any challenge and opportunity in a constantly evolving environment, where technology and creativity merge in an innovative way.

In this way, TECH has created a rigorous academic program, supported by the innovative Relearningmethod. This educational approach focuses on reiterating the essential principles of the syllabus to ensure a comprehensive understanding of all content. Accessibility will also be key, as only an electronic device with an Internet connection will be required to access the materials at any time, eliminating the obligation to attend in person or comply with pre-established schedules.

You will innovate in Design through AI, paving the way towards a future where creativity merges harmoniously with Artificial Intelligence”

This Postgraduate diploma in Innovation in Innovation in Design through Artificial Intelligence contains the most complete and up-to-date program on the market. The most important features include: 

• The development of case studies presented by experts in Innovation in Design through AI
• The graphic, schematic and practical contents of the book provide theoretical and practical information on those disciplines that are essential for professional practice
• Practical exercises where the self-assessment process can be carried out to improve learning
• Its special emphasis on innovative methodologies
• 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

Thanks to this 100% online Postgraduate diploma, you will equip yourself with essential skills and knowledge to lead innovation in contemporary Design”

The program includes in its teaching staff professionals from the sector who bring to this program the experience of their work, as well as recognized specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.

You will analyze the relationship between Artificial Intelligence and process optimization in the field of Industrial Design, all through an innovative set of multimedia resources"

Bet on TECH! You will effectively apply emerging technologies in contemporary Design. What are you waiting for to enroll?"

Through a rigorously designed structure, the designers will delve into the dynamic fusion between the creativity of Design and the limitless potential of AI. From modules focused on Graphic Design and the automatic generation of visual content, to process optimization in Industrial Design, each topic will be elaborated to understand how AI radically transforms the practice of Design. In addition, the professionals will delve into areas such as the integration of the Internet of Things (IoT) and the practical application of emerging technologies, enabling them to effectively apply AI in their Design projects.

The Postgraduate diploma in Innovation in Design through Artificial Intelligence will immerse you in a journey of discovery that will redefine your perspective on Design”

Module 1. Practical Applications of Artificial Intelligence in Design

1.1. Automatic Image Generation in Graphic Design

1.1.1. Fundamental Concepts of Image Generation
1.1.2. Tools and Frameworks for Automatic Graphic Generation
1.1.3. Social and Cultural Impact of Generative Design
1.1.4. Current Trends in the Field and Future Developments and Applications

1.2. Dynamic Personalization of User Interfaces Using AI

1.2.1. UI/UX Personalization Principles
1.2.2. Recommendation Algorithms in UI Customization
1.2.3. User Experience and Continuous Feedback
1.2.4. Practical Implementation in Real Applications

1.3. Generative Design: Applications in Industry and Art

1.3.1. Fundamentals of Generative Design
1.3.2. Generative Design in Industry
1.3.3. Generative Design in Contemporary Art
1.3.4. Challenges and Future Advances in Generative Design

1.4. Automatic Creation of Editorial Layouts with Algorithms

1.4.1. Principles of Automatic Editorial Layout
1.4.2. Content Distribution Algorithms
1.4.3. Optimization of Spaces and Proportions in Editorial Design
1.4.4. Automation of the Revision and Adjustment Process

1.5. Procedural Generation of Content in Videogames

1.5.1. Introduction to Procedural Generation in Videogames
1.5.2. Algorithms for the Automatic Creation of Levels and Environments
1.5.3. Procedural Narrative and Branching in Videogames
1.5.4. Impact of Procedural Generation on the Player Experience

1.6. Pattern Recognition in Logos with Machine Learning

1.6.1. Fundamentals of Pattern Recognition in Graphic Design
1.6.2. Implementation of Machine Learning Models for Logo Identification
1.6.3. Practical Applications in Graphic Design

1.7. Legal and Ethical Considerations in Logo Recognition
1.8. Optimization of Colors and Compositions with AI

1.8.1. Color Psychology and Visual Composition
1.8.2. Color Optimization Algorithms in Graphic Design
1.8.3. Automatic Composition of Visual Elements
1.8.4. Evaluation of the Impact of Automatic Optimization on User Perception

1.9. Predictive Analysis of Visual Trends in Design

1.9.1. Data Collection and Current Trends
1.9.2. Machine Learning Models for Trend Prediction
1.9.3. Implementation of Proactive Design Strategies
1.9.4. Principles in the Use of Data and Predictions in Design

1.10. AI-assisted Collaboration in Design Teams

1.10.1. Human-IA Collaboration in Design Projects
1.10.2. Platforms and Tools for AI-assisted Collaboration
1.10.3. Best Practices in AI-assisted Technology Integration
1.10.4. Future Perspectives on Human-AI Collaboration in Design

1.11. Strategies for the Successful Incorporation of AI in Design

1.11.1. Identification of AI-solvable Design Needs
1.11.2. Evaluation of Available Platforms and Tools
1.11.3. Effective Integration in Design Projects
1.11.4. Continuous Optimization and Adaptability

Module 2. Innovation in Design and AI Processes

2.1. Optimization of Manufacturing Processes with AI Simulations

2.1.1. Introduction to Manufacturing Process Optimization
2.1.2. AI Simulations for Production Optimization
2.1.3. Technical and Operational Challenges in the Implementation of AI Simulations
2.1.4. Future Perspectives: Advances in Process Optimization with AI

2.2. Virtual Prototyping: Challenges and Benefits

2.2.1. Importance of Virtual Prototyping in Design
2.2.2. Tools and Technologies for Virtual Prototyping
2.2.3. Challenges in Virtual Prototyping and Strategies for Overcoming them
2.2.4. Impact on Design Innovation and Agility

2.3. Generative Design: Applications in Industry and Artistic Creation

2.3.1. Architecture and Urban Planning
2.3.2. Fashion and Textile Design
2.3.3. Design of Materials and Textures
2.3.4. Automation in Graphic Design

2.4. Materials and Performance Analysis using Artificial Intelligence

2.4.1. Importance of Materials and Performance Analysis in Design
2.4.2. Artificial Intelligence Algorithms for Materials Analysis
2.4.3. Impact on Design Efficiency and Sustainability
2.4.4. Implementation Challenges and Future Applications

2.5. Mass Customization in Industrial Production

2.5.1. Transforming Production through Mass Customization
2.5.2. Enabling Technologies for Mass Customization
2.5.3. Logistical and Scale Challenges of Mass Customization
2.5.4. Economic Impact and Innovation Opportunities

2.6. Artificial Intelligence-assisted Design Tools

2.6.1. Design Aided Design by Gan Generation ( Generative Adversarial Networks)
2.6.2. Collective Idea Generation
2.6.3. Context-aware Generation
2.6.4. Exploration of Non-linear Creative Dimensions

2.7. Human-robot Collaborative Design in Innovative Projects

2.7.1. Integration of Robots in Innovative Design Projects
2.7.2. Tools and Platforms for Human-Robot Collaboration
2.7.3. Challenges in the Integration of Robots in Creative Projects
2.7.4. Future Perspectives in Collaborative Design with Emerging Technologies

2.8. Predictive Maintenance of Products: AI Approach

2.8.1. Importance of Predictive Maintenance in Product Life Extension
2.8.2. Machine Learning Models for Predictive Maintenance
2.8.3. Practical Implementation in Various Industries
2.8.4. Evaluation of the Accuracy and Effectiveness of these Models in Industrial Environments

2.9. Automatic Generation of Typefaces and Visual Styles

2.9.1. Basics of Automatic Generation in Typeface Design
2.9.2. Practical Applications in Graphic Design and Visual Communication
2.9.3. AI-assisted Collaborative Design in the Creation of Typefaces
2.9.4. Exploration of Automatic Styles and Trends

2.10. IoT Integration to Monitor Products in Real Time

2.10.1. Transformation with IoT Integration in Product Design
2.10.2. Sensors and IoT Devices for Real-Time Monitoring
2.10.3. Data Analysis and IoT-based Decision Making
2.10.4. Implementation Challenges and Future Applications of IoT in Design

Module 3. Technologies Applied to Design and AI

3.1. Integration of Virtual Assistants in Design Interfaces

3.1.1. Role of Virtual Assistants in Interactive Design
3.1.2. Development of Virtual Assistants Specialized in Design
3.1.3. Natural Interaction with Virtual Assistants in Design Projects
3.1.4. Implementation Challenges and Continuous Improvement

3.2. Automatic visual error detection and correction with AI

3.2.1. Importance of Automatic Visual Error Detection and Correction
3.2.2. Algorithms and Models for Visual Error Detection
3.2.3. Automatic Correction Tools in Visual Design
3.2.4. Challenges in Automatic Error Detection and Correction and Strategies to Overcome them

3.3. AI Tools for Usability Evaluation of Interface Designs

3.3.1. Analysis of Interaction Data with Machine Learning Models
3.3.2. Automated Report Generation and Recommendations
3.3.3. Virtual User Simulations for Usability Testing
3.3.4. Conversational Interface for User Feedback

3.4. Optimization of Editorial Workflows with Algorithms

3.4.1. Importance of Optimizing Editorial Workflows
3.4.2. Algorithms for Editorial Automation and Optimization
3.4.3. Tools and Technologies for Editorial Optimization
3.4.4. Challenges in Implementation and Continuous Improvement in Editorial Workflows

3.5. Realistic Simulations in Video Game Design

3.5.1. Importance of Realistic Simulations in the Video Game Industry
3.5.2. Modeling and Simulation of Realistic Elements in Video Games
3.5.3. Technologies and Tools for Realistic Simulations in Videogames
3.5.4. Technical and Creative Challenges in Realistic Video Game Simulations

3.6. Automatic Generation of Multimedia Content in Editorial Design

3.6.1. Transformation with Automatic Multimedia Content Generation
3.6.2. Algorithms and Models for Automatic Multimedia Content Generation
3.6.3. Practical Applications in Publishing Projects
3.6.4. Challenges and Future Trends in the Automatic Generation of Multimedia Content

3.7. Adaptive and Predictive Design based on User Data

3.7.1. Importance of Adaptive and Predictive Design in User Experience
3.7.2. Collection and Analysis of User Data for Adaptive Design
3.7.3. Algorithms for Adaptive and Predictive Design
3.7.4. Integration of Adaptive Design in Platforms and Applications

3.8. Integration of Algorithms in the Improvement of Usability

3.8.1. Segmentation and Behavioral Patterns
3.8.2. Detection of Usability Problems
3.8.3. Adaptability to Changes in User Preferences
3.8.4. Automated a/b Testing and Analysis of Results

3.9. Continuous Analysis of User Experience for Iterative Improvements

3.9.1. Importance of Continuous Feedback in Product and Service Evolution
3.9.2. Tools and Metrics for Continuous Analysis
3.9.3. Case Studies Demonstrating Substantial Improvements Achieved through this Approach
3.9.4. Handling of Sensitive Data

3.10. AI-assisted Collaboration in Editorial Teams

3.10.1. Transformation of AI-assisted Collaboration in Editorial Teams
3.10.2. Tools and Platforms for AI-assisted Collaboration
3.10.3. Development of Virtual Assistants Specialized in Editing
3.10.4. Challenges in the Implementation and Future Applications of AI-assisted Collaboration

You will challenge the limits of creativity and lead the next era of Design with confidence and innovative vision, thanks to the implementation of Artificial Intelligence”