GenTA
EngineeringInternship Goal
Create media content using AI-automated systems, offering students the experience of evolving traditional creation into a systematic workflow
Company One-liner
“An AI media tech venture pioneering infrastructure that transforms artisanal video production into scalable, automated systems”
This program is designed to deconstruct the nuances of high-fidelity manual video production and re-engineer them into a repeatable automation framework Key Course Objectives: - End-to-end planning and production of a high-quality video using AI tools - Structural deconstruction of the production process (Narrative, Visuals, Pacing, and Emotional Arc). - Parameterizing creative elements into reusable, modular asset - Architecting an "Automation Harness" capable of reproducing consistent quality at scale Final Deliverables: - One high-fidelity, manually crafted AI video - Production analysis and methodology documentation - Automation system design schematic - Library of optimized prompts and workflow templates - Two or more additional videos generated via the established automation system
CEO & Mentors
Jongwon Lee, CEO
•CEO, GenTA(AI Media Technology Startup)
•AI Content Generation Systems for Public Libraries
•2026 Public Library Development and Operational Vitalization Project
•BA in Digital Arts Computing, Goldsmiths, University of London
Syllabus
Session 1-1
Objective: To establish a comprehensive understanding of the AI video production framework Lecture: An overview of AI generative tools (e.g., Runway, Veo) and fundamental methods for content structuring Practical Exercise: Comparative analysis of sample videos focusing on style, emotional tone, and pacing Assignment: Topic selection and initial video concept development
Session 1-2
Objective: To develop core competencies in designing narrative structures for video Lecture: Mastering the three-act structure, scene design, and emotional arc composition Practical Exercise: Production of a storyboard based on a 3-scene sequence Assignment: Completion of a formal video script
Session 2-1
Objective: Achieving visual consistency across generated assets Lecture: Advanced Prompt Engineering and strategies for maintaining consistent styles Practical Exercise: Generating consistent character designs and environmental background assets Assignment: Preparation of a finalized visual library for video production
Session 2-2
Objective: Producing high-fidelity video content through manual control Lecture: Understanding Image-to-Video (I2V) conversion frameworks and scene composition techniques Practical Exercise: Production of a 20–30 second video sequence Assignment: Finalizing the video project and post-production polish
Session 3-1
Objective: Structuring the core components of video content Lecture: Conceptual deep dive into Tone, Pace, Emotion, and Style Practical Exercise: Deconstructing produced videos and analyzing individual elements Assignment: Formal documentation of the production process
Session 3-2
Objective: Transforming the creative process into a scalable system Lecture: Designing Input-Output architectures and defining optimized workflows Practical Exercise: Architecting the end-to-end video generation process Assignment: Development of a comprehensive system design schematic
Session 4-1
Objective: Establishing a reproducible framework for iterative generation Lecture: Understanding Prompt Templates and the architecture of automation Practical Exercise: Designing an automated production workflow Assignment: Generating two additional video sequences using the established system
Session 4-2
Objective: Verifying system scalability and performance Lecture: Outcome evaluation metrics and strategies for continuous improvement Practical Exercise: Final presentation of results and comparative analysis