Master in Graphic Design and Multimedia Production with AI

This prework aims to provide a solid foundation in the fundamentals of graphic design, covering key concepts that students must master in order to get the most out of AI tools. 

We will explore how this technology makes it easier to create high-quality visual content, while also enabling content personalization and the automation of creative processes. 

Introduction to generative AI applied to visual design The potential of AI to create and modify content Creating original visual content with AI

Optimizing visual production in graphic design projects Personalization and automation of content creation New possibilities for developing complex visual concepts with AI

This topic takes a deeper look at prompt engineering, a key skill for harnessing the power of artificial intelligence in the creation of ideas, copy, and scripts. The goal is for students to learn how to design effective prompts that generate creative content, whether to develop concepts, write scripts, or produce inspiring copy for visual and audiovisual projects. Through this topic, students will master the techniques for optimizing the results of generative models, understanding how to structure prompts precisely in order to obtain quality ideas. 

Interacting with generative models Designing prompts to generate creative ideas Strategies for writing effective narrative and descriptive copy Generating scripts with AI: structure, dialogue, and character development Advanced parameters for controlling the tone, style, and approach of texts

Creating transmedia stories with AI: integrating text, images, and sound Techniques for generating texts tailored to specific audiences and platforms Optimizing results: perfecting prompts through iteration Integrating AI into the brainstorming and creative conceptualization phase

Students will learn how to structure and optimize prompts to generate content in multiple formats, such as images, text, sound, and video, personalizing the generated content according to their specific creative needs. They will be taught to generate content that is coherent, relevant, and high quality, and to enrich the creative process by expanding the possibilities of what can be generated from a single prompt. 

Designing prompts to generate audiovisual content The concept of the multimodal prompt Structure of an advanced prompt Creating storyboards with combined prompts

Optimizing prompts to obtain precise results Prompt chaining: linking prompts for coherent content Designing transmedia projects Personalizing prompts (tone, style, and approach)

In this topic, students will explore how generative artificial intelligence can be used to create, edit, and transform images, one of the most powerful applications in the creative field. The goal is for students to understand how AI models can generate original images, as well as modify and refine existing images through advanced editing techniques. 

Inpainting Outpainting Image-to-image Object addition/removal Integrating visual references: using guide images

Style changes and transformation Background replacement Sketch-to-Image Depth-to-Image AI upscaling

In this topic, students will learn to generate hyperrealistic avatars, one of the most innovative and in-demand applications in the field of social media, marketing, and digital advertising, which will revolutionize the way brands communicate with their audiences. They will also learn to use avatars in different scenarios, carrying out a range of activities such as showcasing or presenting products.

Differences between hyperrealistic, stylized, and cartoon-like avatars Generation techniques: facial features, expression, posture, clothing, lighting, and setting Parameterizing prompts for avatars (emotions, context, style, level of realism) Using visual references (photographs, moodboards, and image banks) Adapting avatars to different formats: posts, stories, reels, and videos Personalizing avatars according to the style of the brand or campaign Integrating avatars into visual ads and social platforms

Optimizing avatars for multichannel campaigns (Instagram, TikTok, YouTube, etc.) Automating avatar creation for large-scale marketing The impact of digital avatars on audience interaction and engagement Creative workflow: iteration, refinement, and visual consistency across different avatars within the same campaign Face swapping Latent space editing Pose-to-Image

In this topic, students will learn to generate product images for catalogs and online stores with high visual quality and consistency, without relying on complex photo shoots. They will explore how to create different perspectives, backgrounds, and contexts, as well as how to improve lighting, shadows, and details for more realistic and appealing results.

Angles and contexts Coherent backgrounds Lighting & relighting: lighting correction, realistic shadows, and reflections Personalizing images to adapt them to different catalog styles Uniformity, style, and consistent composition Product variations: sizes, colors, models, textures, perspectives

Editing and retouching Automatic large-scale image generation for online stores Optimizing images to improve product presentation Image embedding Multi-image blending

 In this topic, students will explore how generative artificial intelligence is transforming photography and digital art. They will learn to create, enhance, and transform images, combine visual styles, and develop artistic compositions with greater agility. The goal is to incorporate AI into the creative process to expand possibilities and raise the quality of their projects. 

Enhancing and restoring photographic images Revitalizing old photographs Animating images: adding movement and dynamic effects to still photographs Complex photographic compositions Generating digital paintings and works of art with generative AI

AI painting Personalizing artistic images Super-resolution Image denoising

Through this topic, we will explore the possibilities of using generative models to design logos, color palettes, typefaces, and other visual elements that are key to brand building, ensuring consistency and originality. In addition, students will learn to produce brandbooks, providing clear guidelines on how a brand's visual elements should be used across different contexts and platforms. 

Logo design and branding with AI Styles, symbolism, and typography Creating color palettes Iconography and graphic elements consistent with the brand

Automating the creation of graphic elements Detailed, professional brand manuals Building visual identity Personalizing graphic elements to adapt them to the brand

Students will learn to optimize the process of designing visual content adapted to social networks such as Instagram, Facebook, TikTok, Youtube, LinkedIn and X, using artificial intelligence tools and making sure each piece is aligned with the trends and formats of each platform. Design techniques will be explored to create posts, stories, reels, ads and other visual elements, personalizing and adapting graphic pieces to different campaigns and audiences, maximizing the impact and interaction of every publication. In addition, students will learn to apply content creation automation, which makes it possible to generate material quickly and efficiently, reducing design times and improving productivity.
The course also covers how AI can optimize the creation of promotional materials such as flyers, posters and brochures. Students will learn to generate striking graphic pieces that effectively communicate the message of an advertising campaign, ensuring consistency with brand identity and adapting them to the specific objectives of the event, product or service. They will be taught how to create different versions with minimal adjustments in order to reach various audiences or formats.

Designing visual content (posts, stories, reels, ads) Adapting to formats: sizes, proportions, and resolution according to the platform Optimizing images and visual elements Personalizing graphic pieces for advertising campaigns and events Automation for regular posts and large-scale campaigns

Creating effective ads to increase engagement Designing and creating flyers, posters, and promotional materials Visual composition Adapting promotional materials for print and digital distribution Creating versions

In this unit, students discover how to apply AI to web design and the creation of digital products. They learn to generate pages and applications faster, optimizing the user experience (UX) and the interface (UI).
 They work with tools that automate wireframes, prototypes and responsive structures, improve information architecture and create personalized dynamic interfaces.
The goal is for them to understand how AI transforms the design process, facilitates accessibility, improves usability and drastically reduces development times without requiring advanced programming knowledge. 

Web design: structure, aesthetics and user experience Generating layouts and web page structures Generating dynamic and adaptive content Creating responsive web pages Automating web design without programming

Personalizing the user experience Optimizing usability and accessibility Automatic generation of wireframes and prototypes Interface personalization Using AI to predict user behavior

The goal of this unit is to learn to create dynamic animated pieces and design fluid, attractive visual compositions. Students will explore how artificial intelligence can generate animations from text, images or video sequences, and how these tools can be integrated with professional editing and postproduction software. Students will understand how AI facilitates the automation of tasks such as typographic animation, the creation of transitions, synchronization with music or voice, and the generation of consistent visual styles across different audiovisual pieces. In addition, they will analyze how AI motion design is transforming digital marketing, entertainment and audiovisual communication, making it possible to create more agile, adaptable and visually striking content without complex technical processes.

Introduction to motion design and its evolution with AI Generating motion graphics from text or images Creating automatic animations synchronized with music or narration Designing animated typography and kinetic effects with generative models Automating repetitive tasks in animation

Applying AI motion design in advertising campaigns and branding Integrating hybrid workflows Optimizing animated content for different formats Current trends in generative motion design and augmented creativity

In this unit, students will learn to create and generate videos using generative artificial intelligence, automating the creation of scenes, complete sequences and visual content in record time. Students will understand how AI can generate videos from text, images, voice or other videos, significantly accelerating production processes and allowing creators to focus on the most strategic and creative part of the project.
They will explore AI tools that make it possible to create movie trailers, miniseries, product ads and social media content quickly and in a personalized way. 

Generating complete sequences and scenes Automating video production Creating trailers Creating miniseries and episodes

Video personalization Commercial and marketing applications Use cases in the entertainment industry

This unit covers content generation techniques for advertising, such as the creation of promotional images and videos adapted to brand identity, the target audience and the company's values. In addition, students will explore how AI can be used to automate ad personalization processes, making it possible to create versions optimized for different audiences. 

Creating corporate ads with AI Creating personalized ads adapted to different platforms and social networks Automation in the generation of ads in multiple formats

Personalizing ads for different audiences and market segments Measuring ad performance and adapting in real time with AI

In this unit, students will explore how AI can facilitate both character animation and the creation of complex visual effects.
It covers the use of AI to design animations in a variety of styles and formats, from traditional 2D to 3D, adapted to branding, advertising, social media or even film productions. Students will learn to use AI tools to generate realistic movement and dynamic sequences without advanced animation software. In addition, they will explore how AI can be used to optimize the animation process, reducing production times and improving the quality of the final result.

Creating animations Generating realistic movement in characters and objects Using AI to create complex visual effects 2D and 3D animation with AI

Animation automation Creating interactive and dynamic animations Integrating animations into multimedia content (videos, websites, applications)

In this unit, students will learn to create hyperrealistic animated avatars using artificial intelligence, an innovative tool that is transforming the creation of visual content for ads and digital influencer campaigns. The goal is for students to understand how AI can generate hyperrealistic avatars for video, capable of replicating human features with an impressive level of detail, for use in advertising, social media and as representative figures for brands and influencers.
Students will learn to generate avatars with realistic facial expressions, fluid body movements and natural interaction, optimizing their use in advertising, social media content and influencer campaigns. The unit also covers the use of these avatars in interactive situations, such as chats, dynamic ads and personalized presentations.

Creating hyperrealistic animated avatars Generating realistic features Facial and body animation of avatars for ads and digital influencers Creating facial expressions and natural movements

Avatar personalization Applying avatars in interactive ads Optimizing avatars for different formats and platforms The impact of animated avatars on authenticity and audience relationships

In this unit, students learn to create realistic visual effects —such as fire, water, smoke or explosions— and to use AI to transform editing and postproduction processes.
 They work with tools that automate tasks such as cutting and laying out long videos, detecting speaker changes, synchronizing audio and video, and generating subtitles automatically.
 They also become familiar with systems to improve sound, remove noise and create highlights or summaries of podcasts and interviews.
 The goal is for them to speed up traditionally manual processes and devote more time to creativity and audiovisual storytelling. 

Generating special effects Dynamic effects Generating highlights Creating clips Automating the cutting and layout of long videos

Speaker change detection Automatic audio and video synchronization Automatic subtitle generation Noise removal and equalization Automatic summary generation

We will explore how AI can be used to create complete soundtracks with music adapted to different genres and styles, generate sound effects in real time, and design narrative or singing voices that sound natural, realistic, and emotional. The use of AI to improve audio quality in postproduction projects will also be covered.

Creating sound, music and voice with AI Generating songs: composition and style Using AI to create realistic sound effects (environments, objects, nature) Vocal synthesis: generating narrative and singing voices

Creating the human voice: naturalness and emotional expression Improving audio quality: automatic cleanup, mixing and mastering Creating voice-overs and podcasts Applications in advertising, film and video games for the creation of audio content

In this unit, students will learn to create 3D models and digital worlds with AI for video games, film, advertising, and immersive platforms. They will work on automated model generation, texture customization, animation integration, and optimization for VR/AR. They will also design adaptive experiences that react to the user in real time, enabling personalized content and new forms of storytelling. In addition, they will explore applications in the metaverse, video games, 360º formats, and other emerging technologies. 

Creating 3D models for sets and objects Customizing textures and enhancing visual detail in 3D environments Animation within virtual environments: integrating movement and dynamism Optimizing 3D models for different platforms (PC, mobile, VR, AR) Generating realistic and surreal 3D environments with AI

Interactive narratives: how AI creates stories that respond to the user Adaptive content and personalized experiences in real time Interactive generative art with dynamic visual experiences Designing experiences for the metaverse, video games, and interactive platforms Generating 360-degree, VR, and AR content

In this unit, students will discover how AI makes it possible to automate the creation, editing, and publishing of multimedia content.
 They will learn to streamline repetitive tasks in order to focus on creativity and strategy, integrating tools that optimize the workflow in projects for social media, websites, and digital campaigns.
 The unit also covers the scheduling and automatic adaptation of posts for each platform, as well as the efficient management of large volumes of multimedia assets.
 In addition, students will explore how automation makes it possible to personalize and adjust content in real time, improving the effectiveness and impact of every piece. 

Automating multimedia creation and editing with AI Automating editing Optimizing content for different publishing platforms Scheduling and automating posts on social media and digital campaigns

Automating the design of ads and promotional pieces Managing multimedia assets at scale (files, metadata, etc.) The impact of automation on productivity and digital content quality

In this unit, students will explore the ethical and legal aspects involved in creating content with artificial intelligence. The goal is for them to understand the challenges and responsibilities that arise when using AI tools to generate content, as well as the legal implications related to copyright, intellectual property, and the responsible use of technology. Key issues will be addressed, such as the authenticity and originality of AI-generated content and how current laws apply to AI-generated outputs. Students will also reflect on the potential biases of AI models and how these can influence the content created, as well as the social and ethical implications of using digital avatars, synthetic voices, and manipulated content.
The unit will also include an analysis of emerging regulatory frameworks, in order to understand how ethics is being addressed in the use of AI for content creation.

Introduction to ethics and legality in creation with AI Copyright and intellectual property in AI-generated content Authenticity and originality of content Data protection and privacy

Considerations on bias in AI models Manipulation and disinformation The impact of AI on responsible content creation Emerging regulation

 In this final unit, students will analyze how generative AI is creating new professional opportunities and business models in the multimedia sector. They will explore trends such as content automation, audiovisual personalization, and the optimization of creative processes, and will become familiar with emerging profiles such as AI Designer, Prompt Engineer, and Creative Technologist. They will also reflect on the future of the sector and on how these tools make it more accessible to produce professional-quality projects. 

New business models Mass personalization of products and services New professional opportunities Optimizing multimedia production and reducing costs

Adaptation and competitiveness in the generative AI revolution Democratization of creative tools The future of the audiovisual and entertainment industry Challenges and opportunities