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Learn how AI turns a text prompt into a moving video clip. See how video models build on image diffusion and clean up a whole clip at once, why characters and objects drift between frames, why motion, physics and hands go wrong, why clips are short, how prompts and reference images steer the model, and how to judge AI video and spot the tells. No code, no math.
You type a sentence and a few minutes later you have a short video clip of it. A person walks down a street, waves roll onto a beach, a camera glides over a city. This short course explains how that works, in plain language, with no code and no math. You will start with how AI video builds on image diffusion. A video model starts from random noise, like an image model, but it cleans up a whole stack of frames at once and works in a squeezed form called latent space so the job fits on a computer. Then you will see why characters and objects drift between frames: the model has no fixed memory of a face or a room, so small details change, and things that leave the frame often come back different. You will learn why motion, physics, and hands go wrong, since the model copies how motion looks rather than following rules like gravity. The second half covers limits and control. You will see why single clips are short, how computing work and memory grow fast with every extra second, and why many tools charge by seconds of video. You will learn how a text prompt guides every denoising step and how starting images and reference images steer the model with less guessing. You will finish with a five point check for judging AI video quality and the common tells of AI clips, plus why looks alone are not enough to verify a video. The course is free, and you earn a free certificate when you pass the final exam.
2 modules • 5 lessons
Finish every lesson and pass the final exam to earn this free, shareable certificate.
Certificate of Completion
has successfully completed
5 lessons · Final exam passed
Michail Ouroumis
Founder, FreeAcademy.ai
Sample preview. Your name appears on the certificate when you complete the course. Learn more
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A video model starts from random noise for every frame of a clip. It removes that noise step by step, looking across all the frames at once, and your prompt guides each step. The work happens in a squeezed latent space, and a decoder turns the result into frames you can watch.
No. The course uses plain language, simple diagrams, and everyday examples. There is no code and no math.
AI Video Generation & Editing is hands-on and shows you how to write video prompts and use tools to make and edit videos. This course explains how the technology works underneath, so you understand why tools behave the way they do.
It helps but is not required. The first lesson gives a short recap of image diffusion. If you want the full picture of how AI images are made, take How Diffusion Models & Image Generation Actually Work.
About 40 minutes across five short lessons. Each lesson has a quiz, and there is a final exam with a free certificate when you pass.
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