StretchLearn Course

Understand AI video before you bet a campaign on it

A clear-eyed tour of Sora, Kling, and Veo — what they nail, where they break, a shot-prompt formula, and the marketing jobs they are actually ready for.

Beginner9 hrSelf PacedRegistered

Course Overview

What this course is designed to develop

This course teaches the current generation of text-to-video tools — OpenAI Sora (in the Sora app and ChatGPT Plus/Pro), Kuaishou's Kling, and Google Veo (in Gemini and Flow) — as a connected category rather than one product. You will learn what each model can and cannot do, the clip-length and resolution ceilings, the credit and subscription economics, a reusable shot-prompt structure, and the disclosure and rights rules you must follow. Every lesson ends with a concrete decision rule or copy-ready prompt so you can choose the right tool and produce honest, on-brand marketing clips without an editing or coding background.

Learning Outcomes

What the learner should be able to understand, build, or execute.

01

Compare Sora, Kling, and Veo on clip length, resolution, audio, motion quality, and price to pick the right tool for a given job

02

Write structured text-to-video prompts that separate subject, action, camera, and lighting so the model renders the shot you intended

03

Predict where today's models fail — hands, text-on-screen, physics, object permanence — and design shots that avoid those traps

04

Use image-to-video and Sora's Remix and Storyboard features to control composition instead of gambling on pure text

05

Apply content-provenance, disclosure, and likeness rules (C2PA, SynthID, platform labels) so your AI video stays compliant

06

Plan a short-form marketing clip end to end, choosing model and shot list against a realistic credit and time budget

Curriculum Preview

Inside the curriculum: a structured path from fundamentals to execution.

Preview the course structure, see how the modules build on one another, and understand the path this program is designed to take you through.

Module 1

Module 1: What Text-to-Video AI Actually Is

Get oriented to the category — how diffusion-transformer video models work in plain terms, who the major players are, and what a realistic first result looks like. You build the mental model the rest of the course depends on.

3 lessons
The Landscape: Sora, Kling, and VeoContent · 45 min
Preview Enabled
How These Models Generate VideoContent · 45 min
LMS Access
Your First Generation and How to Judge ItContent · 45 min
LMS Access
Module 2

Module 2: Capabilities, Limits, and Choosing a Tool

Get specific about what each model can and cannot do — clip length, resolution, audio, motion, and price — and turn it into a decision rule you can apply to any brief. This is the module that prevents wasted subscriptions.

3 lessons
Clip Length, Resolution, and AudioContent · 45 min
LMS Access
Pricing, Credits, and SubscriptionsContent · 45 min
LMS Access
A Decision Rule for Picking a ToolContent · 45 min
LMS Access
Module 3

Module 3: Prompting and Working Around the Failures

Learn a structured prompt formula that gives you control, and a practical map of where today's models break so you can design shots that avoid the traps. This is where your output stops looking accidental.

3 lessons
The Four-Part Shot Prompt FormulaContent · 45 min
LMS Access
Where Today's Models BreakContent · 45 min
LMS Access
Iterating Without Burning CreditsContent · 45 min
LMS Access
Module 4

Module 4: From Clip to Campaign: Marketing Use Cases

Put it together — use image-to-video and Sora's control features, follow disclosure and rights rules, and plan a real short-form marketing clip from brief to deliverable. This module turns the skill into something you ship.

3 lessons
Image-to-Video and Sora's Control FeaturesContent · 45 min
LMS Access
Disclosure, Rights, and ProvenanceContent · 45 min
LMS Access
Planning and Shipping a Marketing ClipContent · 45 min
LMS Access

Built for Application

A complete learning path, not a one-off inspiration hit.

This program is designed around progression: focused lessons, structured modules, applied resources, assessments, and a course rhythm that turns information into usable capability.

SoraKlingGoogle Veotext-to-videoAI videoimage-to-videocontent marketingAI disclosure