Editing is now half craft and half tooling. Learn the craft properly, then use AI to remove the tedious parts: transcription, captions, rough cuts and cleanup.
What you will be able to do
Full syllabus
6 modules · 29 topics · 114 concepts
The language of edits
Project setup
The timeline
Pacing and rhythm
Story structure
You can assemble a coherent sequence and explain why each cut is where it is.
Transcription-based editing
Removing filler
Captions and subtitles
Rough cuts
Reframing
You can use AI to remove the tedium without letting it make the creative decisions.
Why audio matters most
Cleaning dialogue
Mixing
Music and effects
Voice tools
You can deliver audio that sounds professional on a phone speaker.
Colour correction
Matching shots
Grading
LUTs and log footage
AI assistance
You can correct, match and grade a sequence consistently.
Titles
Keyframes
Compositing
Templates
You can build reusable titles and simple motion graphics.
Export settings
Platform requirements
Client workflow
Archiving
Working as an editor
You can deliver correctly for any platform and run a revision round without chaos.
5 builds you keep
One forty-minute conversation becomes a ten-minute edit, a two-minute highlight, and three vertical clips. The same footage, three different structural decisions, which is most of a working editor's week.
Mismatched sources, inconsistent audio and no script. You build the story from what exists, match the colour across cameras, and write the narration.
Fixed fonts, fixed palette, fixed intro. Includes building the reusable title templates so the second and third videos take an hour instead of a day.
One master edit delivered in English, Hindi and Marathi, with correct captions in each and the decision documented about where synthetic voice is and is not appropriate.
A brief, a deadline, a review link and feedback you did not agree with. Delivered in the formats specified, with a project archive that could be reopened next year.
Hands on with
Before you enrol
For smooth 4K work, yes, but you can learn on a modest laptop by working with proxies, which we cover in the first module. DaVinci Resolve's free version is genuinely full-featured and has no watermark.
DaVinci Resolve as the main tool because the free version is complete, Premiere Pro because agencies use it, and CapCut and Descript for the AI-assisted parts. The craft transfers between all of them.
It has taken over the parts that were never creative: transcription, captions, rough assembly and cleanup. Deciding what story the footage tells is not close to being automated. Editors who use these tools are finishing faster, not disappearing.
The skills and a reel, yes. The last module covers pricing, scoping and client revision rounds because that is what actually goes wrong on early freelance jobs, not the editing.
Editing first. It is the larger market and the entry point for most studios, and it teaches you the timing that motion graphics depends on. This course includes enough motion work to handle typical titles and lower thirds.
Where this leads
One skill on a CV is a hobby. These are the courses students take alongside this one, in the order that builds an actual role.
The highest return per hour of any course we run. Four weeks of practical AI for people who work in documents, spreadsheets and email all day, with no coding at all.
What happens beneath your program, taught at the Linux terminal so the theory stays concrete. Doubles as the foundation for cloud and cybersecurity work.
Five weeks to a dashboard your workplace will actually use. Data modelling and DAX taught properly, because that is where most Power BI users get stuck.