Curiosity · After 12th
How to learn AI in Video Production after 12th in Delhi
AI in video production covers generative video, automated editing, captioning, scene detection and asset tagging. It sits at the intersection of computer vision, generative modelling and media workflow engineering. Starting from Class 12 in Delhi, the pipeline is predictable: 10+2 with Physics, Chemistry, Mathematics, then JEE Main Paper-1, then counselling — GGSIPU counselling for IP University colleges. The real decision is choosing a college whose AI in Video Production coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- AI in Video Production
- VSET programme
- B.Tech CSE (AI & ML)
- Coverage at VSET
- Adjacent foundations only
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
The degree route
No Delhi college offers a dedicated degree in AI in Video Production. The realistic route is a B.Tech in a related branch — at VSET that means B.Tech CSE (AI & ML), which builds engineering foundations that transfer toward AI in Video Production, though VSET does not run a dedicated AI in Video Production programme — combined with self-driven projects and online specialisation.
How VSET teaches AI in Video Production
AI in video production covers generative video, automated editing, captioning, scene detection and asset tagging. It sits at the intersection of computer vision, generative modelling and media workflow engineering. At VSET this maps to engineering foundations that transfer toward AI in Video Production, though VSET does not run a dedicated AI in Video Production programme.
- VSET does not teach video production or media workflow as a domain — editing, cinematography and production practice are outside all seven B.Tech programmes.
- The technique base is taught: computer vision, deep learning, transformers and generative AI are documented at learn.engineering.vips.edu.
- The honest framing is adjacency — a video-production application would be self-directed work on that technique base.
- The AI & ML track is one of VSET's seven GGSIPU-affiliated B.Tech programmes.
Where AI in Video Production skills lead
Graduates applying AI in Video Production skills typically target roles such as Computer Vision Engineer, Machine Learning Engineer, Generative AI Engineer, Media Systems Engineer, Applied AI Developer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.
How admission works
Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.
Frequently asked questions
Can I learn AI in Video Production after 12th without coding background?
Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before AI in Video Production-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Does VSET teach video or media production?
No. Production practice is not taught. Computer vision, deep learning and generative AI technique are, and they transfer to video tooling.
What is the nearest documented project work?
Applied computer vision capstones and LoRA fine-tunes of open-weight models.
Is there enough compute for video models?
The AICTE IDEA Lab provides GPU workstations, and the Quantum Research Lab is available for research-grade runs; very large generative video training would be beyond an undergraduate lab.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31