AI Applied to Blanquerna - Lavinia Communication Projects

Objectives:

• Understand the basic concepts of Generative AI.
• Explore how AI influences communication and review the current applications landscape.

Content:

• Basics of AI and its application to text, voice, images, and video.
• Current and inspiring use cases in media and businesses
• Relevant tools for industry use cases.
  

Practical activity (project initiation):

• A workshop analyzing tasks, projects, interests, and roles of the students to propose a communicative challenge (individual or in pairs) that will serve as the foundation for the final project. Students have the option to tackle a challenge provided by Lavinia or to develop one of their own.

Objectives:

• Create and enhance textual content using AI.
• Master the art of prompting to achieve the best results.
• Learn to interact with specific content
• Gain knowledge of alternative tools for specific uses

Content:

• Text generation and analysis tools (ChatGPT Plus, Perplexity, Gemini, NotebookLM, etc.).
• Advanced prompting techniques for various purposes (generation, summarization, rewriting, ideation).
• Interaction with specific-use tools: transcription, translation, presentation generation, storyboards, project dossiers, etc. (Whisper, Gamma, LTX Studio, etc.).

Practical activity (Project):

• Create textual content for the project using different tools and prompting techniques.
• Practical exercises to improve prompts for more accurate and creative results.
• Based on concepts covered in class, reflect on use cases and draft the first version of the final project.

Objectives:

• Introduction to GPTs and their use cases
• Train and deploy a custom GPT with your personal data.
• Understand the basics of optimization and automation with GPTs.

Content:

• Creation of customized GPTs (concepts, steps, limitations).
• Defining data structures for training a GPT.
• Introduction to basic automations and connections with GPTs at a conceptual level

Practical activity (Project):

• Define the data structure for a customized GPT linked to the project (can be a prototype).
• Plan a small optimization or automation that could be implemented with the created GPT.

Objectives:

• To generate quality synthetic voice.
• Clone voices for content creation.
• To improve audio and apply dubbing or audio description with AI.

Content:

• Use cases for voice and sound in Generative AI (with existing tools and custom developments)
• Synthetic voice, cloning, and dubbing tools (ElevenLabs, Heygen).
• Sound/music generation (Suno, Udio)

Practical activity (Project):

• Create an audio segment (narration, voice-over, voice cloning, or musical piece)

Objectives:

• Understand the current state and capabilities of AI for image creation
• Learn to use generative AI for images based on the communicative context.

Content:

• Overview of market tools, state-of-the-art, and processes for creating, editing, and enhancing images with AI (Midjourney
• Review of image generation use cases in communication contexts (journalism, corporate, advertising, entertainment, etc.)
• Creation, editing, and enhancement of images from text using tools like ChatGPT+ and Freepik (integrator of various models)

Practical activity (Project):

• Create, edit, or enhance images for specific communicative purposes.

Objectives:

• Understand the current state and capabilities of AI for video generation
• Learn to use generative AI for video based on the communicative context.

Content:

• Overview of market tools, state-of-the-art, and processes for creating, editing, and enhancing videos with AI (Runway, Kling, Higgsfield, Veo2, Veo 3, Minimax, etc.)
• Review of video generation use cases in communication contexts (journalism, corporate, advertising, entertainment, etc.)

Practical activity (Project):

• Create a video clip using image-to-video + prompting or text-to-video techniques

Objectives:

• Understand the possibilities offered by process automation
• Learn to design automation processes and develop pilot tests

Content:

• Presentation of how automations work and their use cases, based on integration software (n8n)
• Introduction to modular thinking
• Initiation to automation with n8n

Practical activity:

• Workshop to define a workflow for potential automation.

Objectives:

• Comprehend the ethical risks, biases, and legal implications of AI.
• Examine real-world examples of unethical or problematic AI applications in communication.

Content:

• Bias, Privacy, and Security considerations.
• Relevant regulations and standards.
• How to incorporate responsible AI use (by individuals, companies, and organizations)

Activity:

• Analysis of one’s own activity or organization and definition of an action plan or necessary elements to implement an AI usage policy for the company/organization/user.

Objectives:

• Refine created content and products
• Present the project

Content:

• Project refinement in the classroom with teacher supervision.
• Presentation of projects.
• Internal feedback among participants and faculty.

Practical activity (Project):

• Finalization of the project, presentation, and exchange.

Objectives:

• To understand how a company in the industry implements AI, navigating technological and strategic shifts.
• Explore real-world examples of generative AI applications in communication and their business impact.

Content:

• Masterclass led by the president of a prominent communications and technology firm.
• Case studies showcasing AI integration, its obstacles, and triumphs.
• Discussion on future prospects, opportunities, and ethical dilemmas.

Activity:

• Open debate with the speaker, addressing questions and exchanging ideas among participants.