AI Video Creation & Animation MBA Master Gen AI in 2026

Master text-to-video prompt engineering, cinematic animation, character morphs, and viral short-form VFX workflows.
What you'll learn

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Master prompt structures to control cinematic camera motion, lighting, and realistic physics in AI video generators.
Create dynamic character transformations, anime VFX, and seamless visual morphs using multi-model AI workflows.
Build high-retention viral short-form videos using proven pacing, hook frameworks, and visual editing formulas.
Execute full-pipeline video production from prompt conception to post-production compositing and audio sync.
Combine text-to-image and image-to-video tools to maintain character consistency and visual fidelity.
Requirements

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A computer (Windows or Mac) with a standard internet connection.
No prior video editing, 3D animation, or programming experience is required.
A willingness to experiment with generative AI tools (free access alternatives are covered in the course).
Description

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This course contains the use of artificial intelligence.
Generative video tools have evolved from experimental novelty into a production-grade medium for creators, animators, and digital artists. However, moving beyond unpredictable text prompts to produce consistent camera movement, seamless character morphs, and high-retention video sequences requires structured prompt engineering frameworks and multi-model workflows.
This hands-on, project-driven bootcamp provides a complete walkthrough of modern AI video creation-from text-to-image foundation assets and motion conditioning to advanced character transformations, visual effects, and post-production assembly.
What You Will Learn in This Course
Generative Video Prompt Syntax: Learn exact prompt structures to direct camera movement (pans, tilts, zooms, tracking), focal depth, cinematic lighting, and realistic physics.
Dynamic Character Morphs & Transformations: Create complex visual sequences, style changes, and power transitions while maintaining anatomical and facial consistency.
Multi-Model AI Pipelines: Combine text-to-image generation models with image-to-video engines to achieve higher visual fidelity and control.
High-Retention Short-Form Frameworks: Apply visual pacing, hook structures, and sound design principles designed for maximum viewer engagement.
Post-Production & Assembly: Integrate AI-generated video clips with editing, color balancing, layer compositing, and audio synchronization.
Curriculum Highlights
Foundations of Generative Video: Text-to-Video (T2V) vs. Image-to-Video (I2V) architectures, motion strength controls, aspect ratios, and seed consistency.
Advanced Visual Effects & Transformations: Keyframe anchoring, action directing, speed ramps, and scene continuity across multiple rendered shots.
Short-Form Video Production: Retention pacing, green-screen compositing, sound FX integration, and rapid batch-generation workflows.
Who this course is for

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Content creators, YouTubers, and social media managers looking to produce high-engagement viral video content.
Video editors, animators, and digital artists wanting to integrate generative AI workflows into production.
Beginners and creative entrepreneurs looking to learn complete AI video creation from scratch.
Homepage

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