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AI: FILM & CONTENT PRODUCTION

Pro-Grade Training Program



AI & Production



Pro-grade, technology-enabled, creatively inspired


Generative AI is transforming film and audiovisual production. It supports traditional filmmaking processes from concept to VFX while simultaneously enabling new AI-first productions. In this program, AI functions as a production control layer that manages decisions, consistency, and complexity throughout the entire production cycle.


Creatives & Storytellers



Production-ready teams for practical application

This program is designed for advanced students and professionals in film, audiovisual, and content production, including those from film and media schools. It requires prior education or equivalent experience in filmmaking, storytelling, design, and production practice. These competencies are treated as prerequisites and are not taught from scratch.



Practical Experience




Frameworks, Models & Tools in Practice


This program combines conceptual clarity with practical production practice. Generative AI is used hands-on directly in film, audiovisual, and content production workflows. Professional prompting is taught as a central production method and adapted to text, image, video, and audio outputs. Sessions include live demonstrations and use cases that participants can follow and reproduce.


Creating Connections




Developing AI skills throughout the entire production cycle

This program is structured as a connected production sequence that links established film/AV practice with generative AI workflows. Throughout the program, participants complete practical hands-on exercises, creating multiple pieces in text, image, video, audio, and communication formats. Each module builds upon previous methods and decisions, ensuring that learning continues incrementally rather than starting anew. The program culminates in a final project where participants apply the full range of approaches across the entire film/AV production cycle.



Module 01



Strategic Foundation


This module establishes the foundation for working with Generative AI in film and audiovisual media productions. It examines how AI is positioned within professional AV production, introduces decision criteria, and sets governance standards that apply to all subsequent modules. The results of this module form the basis for narrative, visual, audiovisual, and delivery decisions developed throughout the program.


AI Production Foundation


Standards, Ethics, Decisions & Rights

Participants will learn how to:

  • Map the AI landscape in film and AV production: text, image, video, and audio systems as well as their roles
  • Understand the strengths, limitations, risks, and failure modes of different model types
  • Decide where AI is useful in professional production and where it is not
  • Apply governance in production: ethics, copyright, rights, data protection, quality criteria
  • Introduce professional prompting as a control method: structure, constraints, evaluation.


Module 02



Research & Conception


This module transitions the strategic foundation into early creative decisions. AI is used to support research, reference analysis, and structured idea development, guiding concepts from exploration to a production-ready direction. Decisions made here flow into narrative development, visual systems, and subsequent production stages.


AI-powered Research & Concept Development


From exploration to production-ready concepts

Participants will learn how to:

  • Map the AI landscape for research and ideation tasks
  • Use AI to research references, styles, formats, genres, and comparable works
  • Learn professional prompting techniques for research, exploration, clustering, selection, and refinement
  • Develop ideas into clear concepts and creative directions
  • Create treatments, outlines, and production plans with AI support
  • Compare alternatives and document decisions for downstream production

Module 03



Story Development


This module focuses on controlling narrative development with Generative AI. Participants develop methods for structuring characters, scenes, dialogues, and script variants that remain consistent across iterations. The narrative systems defined here serve as inputs for visual, audiovisual, and communication outputs in later modules.


AI Narrative Systems



Text as production control layer

Participants will learn how to:

  • Map the narrative AI landscape: LLM models such as Open AI, Gemini, Co-Pilot
  • Apply professional prompting techniques for narrative outputs
  • Develop characters, dialogue, scenes, and script variants
  • Generate and manage multiple versions, tonalities, and formats
  • Maintain narrative logic and continuity across iterations


Module 04



Visual Development & Consistency


This module introduces AI-powered visual systems for image-based production. Participants learn how visual decisions – such as style, color, characters, products, and environments – are defined, referenced, and maintained across iterations. These systems form the visual backbone for subsequent still and moving-image production.


AI Visual Systems




From scripts to visual systems

Participants will learn to:

  • Understand the image generation landscape: tools, models, strengths, limitations, and reference behavior
  • Apply professional prompting techniques for visual outputs and consistency control
  • Generate storyboards, shot structures, and scene references
  • Work with text-to-image, image-to-image, and reference-based generation
  • Use node-based image workflows to manage characters, scenes, props, products, and styles
  • Maintain continuity across color, lighting, framing, environments, and formats


Module 05



AI Video Production


After the visual systems are established, the program shifts to moving image production. This module focuses on how generative AI is transforming shot creation, iteration, pacing, continuity, and sequencing. Video is treated as a time-based production layer that must remain consistent with narrative and visual decisions. The focus is on control, coherence, consistency, and the production-ready usability of the generated footage, including AI-assisted editing for rough cuts, versioning, and rapid adaptations for various formats and platforms.

AI Video Generation & Control




Sequences, Motion, Consistency

Participants will learn to:

  • Understand the video generation landscape: tools, models, motion behavior, constraints
  • Apply professional prompting techniques for video outputs
  • Work with text-to-video, image-to-video, and video-to-video
  • Utilize node-based video workflows to control sequences, variations, and consistency
  • Manage pacing, motion, style, and coherence across shots


Module 06


AI Audio


Sound is an integral part of audiovisual storytelling. This module focuses on dialogue, voice, music, and sound effects as production elements that are shaped with generative AI. It looks at how audio supports narrative meaning, rhythm, and emotional impact, and how it must remain in harmony with image and story across iterations.

AI Generation & Control


Voice, Music & SFX

Participants will learn how to:

  • Map the audio AI landscape: voice, music, SFX systems; strengths/limitations; licensing and rights risks
  • Apply professional text-to-audio prompting techniques: intent, tone, timing, emotion, continuity constraints
  • Generate dialogue and voice-over variants with performance direction and consistency
  • Generate music themes, scene beds, and variations tailored to mood and pacing
  • Generate and control SFX layers; maintain continuity across shots and sequences


Module 07




AI-powered Project Communication


Film and AV projects must be clearly communicated to investors, collaborators, and audiences. This module covers how generative AI supports the creation of presentations, pitch materials, project pages, websites, and social formats. Communication is treated as an extension of the production process, not as a separate activity.


Marketing & Social Media


From production assets to effective public-facing content

Participants will learn how to:

  • Apply professional prompting techniques for release and promotional materials: logline, synopsis, press copy, tone, variants
  • Create pitch decks, one-pagers, festival submissions, Electronic Press Kit (EPK)-style materials, and project pages
  • Generate websites and social media formats from existing production assets (stills, clips, credits, key art)
  • Combine text and visuals into coherent deliverables for release communication
  • Adapt outputs for different audiences and channels (festivals, buyers, partners, community, press)


Final Production






Multimodal & Integrated


Throughout the program, participants develop a continuous film and audiovisual project. Each module drives the same production trajectory forward, allowing early decisions to be carried forward, refined, and validated under real constraints. The program culminates in an integrated final project that demonstrates decision consistency, cross-format consistency, and production-level use of generative AI across the entire workflow – from development to delivery.


From Concept to Distribution


A Complete Production Package

Participants provide:

  • Project: a coherent film or audiovisual production
  • Narrative: Concept, storyline, character and scene set, script variations
  • Visuals: Style, reference sets, storyboards, key frames
  • Motion: generated shots or sequences with continuity decisions
  • Audio: dialogue, music, and sound effects, aligned to the picture
  • Communication: pitch deck, project page, social or release assets
  • Decisions: documented iterations, selections, and rationale


AI Infrastructure


Intelligent Tools & Workflows

We use production-ready Generative AI tools for text, image, video, and audio. Our node-based workflows ensure consistency across all outputs throughout the entire production cycle.



Instructor


Javier Amaya


Javier has led productions and provided filmmaking education in Europe, the USA, and Latin America. His career spans the entire evolution from traditional filmmaking to AI-integrated production, supported by advanced studies in Generative AI at MIT Sloan.

Today, he helps teams through Rapid Stories AI to connect creativity with Generative AI, through AI strategy, content creation, and hands-on upskilling, enabling them to work faster, more consistently, and in a production-ready manner.


Instructor References




Background and Experience:

  • Over 15 years of experience in management and production for agencies, production companies, and global brands (Europe, USA, LATAM)
  • Led cross-functional, international productions in EMEA and coordinated creative and film teams
  • AI upskilling sessions for SME marketing teams (Germany, NY, UAE)
  • Generative AI masterclasses for filmmakers and media startups at MGZ
  • Professional film and audiovisual media education (NYFA, EICTV, FAAP, Politécnico GranColombiano)
  • Advanced AI education at MIT Sloan (Applied Generative AI)
  • Fluent in English, German, Spanish, Portuguese


AI Production Stack


How the work is performed

Throughout the program, participants will work with:

  • Models: GPT-5, Gemini, Grok; VEO 3.1, Kling 3.0, Seedance 2.0; Google Nano Banana
  • Text Generation: ChatGPT, Gemini, Co-Pilot
  • Image Generation & Editing: MidJourney, Freepik, Canva/Figma, Photoshop
  • Video Generation & Editing: RunwayML, Google Flow, Higgsfield, Adobe Premiere
  • Music, Audio & Voice: Suno, ElevenLabs
  • Presentation / Websites, Social Content: Gamma, Adobe Creative Suite
  • Collaboration / Recording: Riverside
  • Node-based workflows: Freepik / Weavy