AI-01

AI Content Creation

Fifteen days from a written brief to one finished cinematic short — specified, generated and mastered under direction.

Starts: 15 September 2026
Venue: Coimbatore
Duration: 15 working days
Contact hours: 30 hours, 2 per day
Batch size: 15 students
Fees: From ₹4,000

Who it is for

No prior editing, photography or film experience is assumed. You need working computer literacy, the ability to write and read a script in the language of the batch, and your own configured device.

Apply for this course

What you will be able to do

Convert a content brief into a locked script and a shot list carrying camera, lighting, duration and continuity parameters for every shot.
Construct controlled prompts using role, context, constraint and output-schema specification, and maintain a versioned prompt library.
Generate character-consistent and environment-consistent image assets, including rendered in-image text, at production resolution.
Generate video from text, from a single keyframe, from first and last keyframes and from supplied reference assets, choosing the model tier to suit the shot and the credit budget.
Diagnose a failed generation and correct it by isolating prompt, reference or model as the cause.
Produce and synchronise narration, sound design and music to a defined loudness target.
Assemble, grade, caption and master a finished film to platform delivery specification, and derive a vertical cut by reframing rather than cropping.

The programme

Specification, prompt architecture and asset design

Days 1–7 · 14 contact hours

No video is generated in this module. Students who begin generating on day one accumulate material they cannot assemble.

Generative video production systems, the six-stage pipeline and credit economics
Concept development and audience specification by problem, desire, objection and trigger
Prompt engineering I: role, task, context, constraints and output schema; versioning and library discipline
Script, hook and narrative structure for a 45 to 60 second film, timed against a beat sheet
Shot design: size, angle, lens, movement, lighting vocabulary, palette and continuity rules
Prompt engineering II: image specification, character sheets and rendered in-image text
Consistency, single-variable iteration and asset lock; first and last keyframes for every shot

Generation, post-production and mastering

Days 8–15 · 16 contact hours

Directed generation: every clip is produced against a written specification and measured against it.

Workspace and directed generation; model tier selection and the test-low then promote method of credit control
Keyframe and reference control; clip extension without continuity break; building a sequence rather than isolated clips
Shot recovery: reframing, re-timing, substitution, upscaling, and when to abandon a shot and rewrite the edit
Voice, language and performance; pronunciation, pause, emphasis and pacing, with Indian language and accent handling
Assembly and edit craft: voice-first assembly, J and L cuts, cutting on action, match cuts
Pacing, titles and captions; typographic hierarchy, safe areas, kinetic titles and brand lock-up
Sound design, colour and finishing; music licence status, ducking, loudness targets and grade
Mastering and delivery: 16:9 master, 9:16 derivative, thumbnail set, archive and assessed review

Assessment, out of 100

Prompt engineering20
Concept and script15
Visual asset quality and consistency15
Generation control15
Edit craft15
Voice and sound design10
Delivery compliance10

Prompt engineering and generation control together carry 35 marks, more than the finished edit, because those are the transferable competencies.

What you leave with

Creative brief and selected concept with written justification
Locked script, beat sheet and parameterised shot list
Versioned prompt library, image and video prompt sets
Character sheet, environment plates and locked keyframe set
Generation and credit log, including rejected shots and the reason
Narration, music and sound effect assets, and the editable project file
Final 16:9 master of 45 to 60 seconds, plus the 9:16 social cut
Thumbnail and cover frame set, and the archived project folder

Production stack

Concept, script and prompt engineeringChatGPT
Image generationNano Banana 2
High-fidelity plates and typographyNano Banana Pro
Video generationGoogle Flow, running Veo 3.1
Alternate generationRunway, Kling, Sora
VoiceElevenLabs
Edit, captions and finishCapCut Pro
Optional finishingDaVinci Resolve

Model versions and plan entitlements in this field change on a scale of weeks. The course is built around the pipeline stages, not the application names, and an equivalent is substituted where a tool has moved.

What you need to bring

Your own workstation, 16 GB RAM minimum, with 100 GB free storage
Closed-back headphones — mixing assessed on laptop speakers is not accepted
All accounts provisioned, logged in and credit-verified before day one
45 to 60 minutes of directed self-study each day, roughly 13 hours across the programme

AI-02