Academ.IA — PDF Guide: Applied Generative AI

A practical PDF training program for learning how to work with generative AI in a structured, professional way that can be applied to real projects.

Academ.IA — Applied Generative AI is not designed as a collection of tricks or a list of tools. Its goal is to teach a working method: understand the problem, gather references, generate, evaluate, correct, document and produce with clear criteria.

What you will learn

1. Generative AI fundamentals

• What generative AI can really do and where its limits are.
• How to work with multimodal systems across text, image, video, audio and documents.
• How to distinguish lasting principles from information that changes over time.
• When to use AI and when a traditional tool is better suited to the problem.

2. ChatGPT and prompting

• How to use ChatGPT as the operating center of a project.
• How to provide context without overwhelming the model.
• How to structure requests with an objective, context, references, constraints, quality criteria and output format.
• How to work iteratively and correct one variable at a time.
• How to research, work with documents and prioritize official sources when information affects money, licenses, capabilities or rights.
• How to reduce unnecessary tests before spending generation credits.

3. References and image generation

• How to use references for identity, wardrobe, product, environment, style, motion and audio.
• How to build images in blocks: character, clothing, environment, camera, lighting, action, objects, style and continuity.
• How to use camera language, approximate focal lengths, lighting and realism criteria.
• How to structure a professional image prompt.

4. Visual consistency

• How to create persistent characters and document permanent traits.
• How to protect product appearance, packaging, logos, typography, proportions and materials.
• How to maintain the same visual world while changing only the shot or action.
• How to build an organized library of characters, products, environments, references, prompts, errors and workflows.

5. Analysis and pre-production

• How to analyze reference images and videos without simply copying them.
• How to use Gemini as support for audiovisual deconstruction.
• How to turn an idea into a storyboard and shot list.
• How to use the structure of a song to design a music video with visual logic.

6. Seedance 2.5 and video generation

• How to integrate Seedance into a production workflow.
• How to direct movement, choreography and camera behavior.
• How to work with multimodal references and explain the role of each file.
• How to structure relationships between images, videos and audio.
• How to work with timelines, second-by-second actions and complex prompts.
• How to diagnose face, product, camera, movement, lighting and continuity failures before regenerating everything.

The specific capabilities, limits and plans of tools such as Seedance, OpenArt, ChatGPT or Cartesia can change. The guide distinguishes these variable details and recommends verifying them before making commercial decisions.

7. Voice and audio

• How to adapt written text for TTS.
• How to work with Cartesia and understand the difference between testing, commercial licensing and authorized voice cloning.
• How to design a professional voice workflow from the initial sample through the final mix.

8. Content production

• UGC with a natural look and smartphone-style camera.
• Premium advertising and product content.
• Music videos generated as sequences of shots.
• B-roll and vertical content for Reels, Shorts and TikTok.

9. Editing and quality control

• How to select useful material in CapCut without depending on the full duration of a generation.
• How to work with rhythm, color, audio and subtitles.
• What to inspect in eyes, teeth, hands, hair, clothing, shadows, text, logos, products, morphing, biomechanics, continuity, camera, lighting and synchronization.
• How to evaluate whether a piece actually achieves its objective, beyond simply looking visually impressive.

10. Specialized assistants

• How to document before automating.
• How to create knowledge PDFs and a source of truth for a brand, character or project.
• How to structure identity, visual style, workflows, approved examples and known errors.
• How to design and test a specialized assistant so that it follows the project's documentation.

11. Automation and professional work

• The difference between generative AI and automation.
• Best practices for rights, privacy, clients and confidential material.
• How to evaluate new tools using your own use case.
• How to calculate the true cost per usable result, not just the cost per generation.
• How to deliver projects with structure, clear file names and reusable documentation.

12. Final practice

• Complete UGC project.
• Premium advertising project.
• Music video project.
• Persistent character + specialized assistant.
• Final exercise to design a complete process from brief to delivery.

What is included

• Complete digital guide in PDF format.
• 41 pages of structured training.
• Example prompts for image, video, TTS and assistants.
• Prompting and production frameworks.
• Examples of shot lists, workflows, timelines and reference maps.
• Practical exercises and quality-control criteria.
• Sources for verifying information that may change over time.
• A final prompt for using the PDF itself as a copilot during future projects.

Course approach

The material is designed to take a person from basic concepts to a real generative-AI production workflow. It does not promise financial results, magical automations or perfect results from a single prompt. The methodology is based on planning, references, iteration, cost control, continuity and human review.

License and intellectual property

The purchase grants the buyer a personal, non-transferable license to use the material. Purchasing the PDF does not transfer the intellectual property rights to the course or its contents.

You may not share the file with third parties, resell it, redistribute it, publish it, upload it to repositories, communities or download platforms, or reproduce or distribute the complete material or substantial parts of it without the express authorization of the rights holder.

The buyer may professionally apply the knowledge acquired to create content, campaigns, projects and work for third parties.

Specific conditions concerning intellectual property, withdrawal rights and consumer rights may depend on applicable law. This material is educational and does not constitute legal advice.

Format

Digital PDF product. Access is provided after purchase through the digital-delivery system configured in the store.

Edition: September 2026.

Created by: 54LAB4IA SL · ACADEM.IA