Master the automatic generation of multimedia content in Editorial Design with this 100% online Postgraduate certificate"

Technologies Applied to Design and Machine Learning are revolutionizing the way products, services or experiences are designed. AI's own tools generate original ideas and suggest innovative design solutions, greatly expanding the scope of human creativity. In turn, it can foresee future trends, which contributes to both strategic planning and informed decision making. On the other hand, organizations that adopt AI stay competitive by offering higher quality products or services and adapting quickly to changing market demands.

This is the reason for this Postgraduate certificate in Technologies Applied to Design and AI, which will provide professionals with practical tools and solid knowledge to make the most of technologies in the field of Design. The syllabus will analyze from the incorporation of virtual assistants to AI-assisted collaboration in editorial teams. This will provide students with a comprehensive view of the multiple possibilities offered by these innovations. In addition, the didactic materials will explore how Machine Learning can boost both creativity and efficiency in the Design process. Furthermore, future challenges in the implementation of AI-assisted collaboration applications will be analyzed.

In this context, TECH has developed a rigorous academic program backed by the innovative Relearningmethod. This educational system will focus on reiterating key principles to ensure a complete understanding of the content. In this way, students will enjoy natural and progressive learning, without the need to resort to techniques such as memorization. In addition, accessibility will be paramount: only an electronic device with an Internet connection will be required to explore the material at any time, allowing students to dispense with the need to attend in person or follow strict schedules.

You will use Artificial Intelligence to empower the generation of functional solutions, promoting more accessible and sustainable designs”

The Postgraduate certificate in Applied Design Technologies and 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 Applied Design Technologies and AI
• The graphic, schematic and practical contents of the book provide technical 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 the revolutionary Relearning methodology, you will integrate all the knowledge in an optimal way to successfully achieve the results you are looking for”

The program’s teaching staff includes professionals from the industry who contribute their work experience to this program, as well as renowned 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.

Looking to automate the most repetitive tasks in your projects? Get it thanks to this program in just 6 weeks"

You will delve into Adaptive and Predictive Design through an extensive library of multimedia resources"

This Postgraduate certificate is based on an approach that combines theory with practice, allowing students to apply Applied Design and Machine Learning Technologies to their procedures. The academic itinerary will provide the keys for the integration of virtual assistants in design interfaces, allowing students to make continuous improvements. The syllabus will analyze in detail the optimization of editorial workflows with algorithms, using the most advanced technologies. The academic materials will delve into both adaptive and predictive design based on user data. This will enable experts to integrate them into various platforms and applications.  

You will become a change agent in the field of Design with this exceptionally comprehensive program”

Module 1. Technologies Applied to Design and AI

1.1. Integration of Virtual Assistants in Design Interfaces with Dialogflow, Microsoft Bot Framework and Rasa

1.1.1. Role of Virtual Assistants in Interactive Design
1.1.2. Development of Virtual Assistants Specialized in Design
1.1.3. Natural Interaction with Virtual Assistants in Design Projects
1.1.4. Implementation Challenges and Continuous Improvement

1.2. Automatic visual error detection and correction with AI

1.2.1. Importance of Automatic Visual Error Detection and Correction
1.2.2. Algorithms and Models for Visual Error Detection
1.2.3. Automatic Correction Tools in Visual Design
1.2.4. Challenges in Automatic Error Detection and Correction and Strategies to Overcome them

1.3. AI Tools for Interface Design Usability Evaluation (EyeQuant, Lookback and Mouseflow)

1.3.1. Analysis of Interaction Data with Machine Learning Models
1.3.2. Automated Report Generation and Recommendations
1.3.3. Virtual User Simulations for Usability Testing with Bootpress, Botium and Rasa
1.3.4. Conversational Interface for User Feedback

1.4. Optimization of Editorial Workflows with GPT Chat, Bing, WriteSonic and Jasper Algorithms

1.4.1. Importance of Optimizing Editorial Workflows
1.4.2. Algorithms for Editorial Automation and Optimization
1.4.3. Tools and Technologies for Editorial Optimization
1.4.4. Challenges in Implementation and Continuous Improvement in Editorial Workflows

1.5. Realistic Simulations in Video Game Design with TextureLab and Leonardo

1.5.1. Importance of Realistic Simulations in the Video Game Industry
1.5.2. Modeling and Simulation of Realistic Elements in Video Games
1.5.3. Technologies and Tools for Realistic Simulations in Videogames
1.5.4. Technical and Creative Challenges in Realistic Video Game Simulations

1.6. Automatic Generation of Multimedia Content in Editorial Design

1.6.1. Transformation with Automatic Multimedia Content Generation
1.6.2. Algorithms and Models for Automatic Multimedia Content Generation
1.6.3. Practical Applications in Publishing Projects
1.6.4. Challenges and Future Trends in the Automatic Generation of Multimedia Content

1.7. Adaptive and Predictive Design based on User Data

1.7.1. Importance of Adaptive and Predictive Design in User Experience
1.7.2. Collection and Analysis of User Data for Adaptive Design
1.7.3. Algorithms for Adaptive and Predictive Design
1.7.4. Integration of Adaptive Design in Platforms and Applications

1.8. Integration of Algorithms in the Improvement of Usability

1.8.1. Segmentation and Behavioral Patterns
1.8.2. Detection of Usability Problems
1.8.3. Adaptability to Changes in User Preferences
1.8.4. Automated a/b Testing and Analysis of Results

1.9. Continuous Analysis of User Experience for Iterative Improvements

1.9.1. Importance of Continuous Feedback in Product and Service Evolution
1.9.2. Tools and Metrics for Continuous Analysis
1.9.3. Case Studies Demonstrating Substantial Improvements Achieved through this Approach
1.9.4. Handling of Sensitive Data

1.10. AI-assisted Collaboration in Editorial Teams

1.10.1. Transformation of AI-assisted Collaboration in Editorial Teams
1.10.2. Tools and Platforms for AI-Assisted Collaboration (Grammarly, Yoast SEO and Quillionz)
1.10.3. Development of Virtual Assistants Specialized in Editing
1.10.4. Challenges in the Implementation and Future Applications of AI-assisted Collaboration

The teaching materials of this program, elaborated by these specialists, have contents that are completely applicable to your professional experiences”