Generative AI Bootcamp for Film and TV

Why a bootcamp, and why this one

• 60 hours of live group teaching. Every one of the 60 hours is live, with two instructors present. Recordings exist as catch-up only. We believe in human interaction and live support.
• Twelve seats. A small cohort to better support you: your instructors know your project, and so does everyone else in the room.
• You start from wherever you are. There is no prerequisite. The program covers its own foundations, and each concept is taught at the moment your project needs it.
• Your own production case, from session 1. A workflow your studio needs, a pipeline step you want to automate, a look you want to reach, or a proof of concept you need. You spend 10 weeks building it, and you leave with it.
• Reviewed by people who did not teach your cohort. A jury of working AI professionals sees your project twice. Fresh eyes, additional support, and prizes to celebrate your efforts.

Equivalent one-on-one consulting support for a build like this costs several times more. Here you get 60 hours of live expert guidance, Runpod cloud GPU credits for the course and your project work, and two jury reviews, for less than 50 USD per live hour.

How it works

• Your project, solo or in a group of 2. Bring a colleague and enroll together, ask us to pair you with another participant, or work solo. Groups usually learn faster: they split the work and troubleshoot together.
• Theory when the build needs it. Each session mixes a short teaching block with supervised build time. The order of topics follows the projects in the room.
• Two instructors, live. Every participant gets attention in every session: share your screen and ask your questions.
• Regular check-ins. At every session, everyone shows what they built and where they are stuck, so you also learn from the other projects in the room.
• Recordings as catch-up. Live attendance is expected: this is a hands-on program. Enrolled participants can use the recordings to catch up on past sessions.

The jury reviews

A jury of working AI professionals, experts in their fields, reviews each project twice. Jurors did not teach your cohort, so the feedback comes with fresh eyes. Members are announced to each cohort before the midpoint review.

• Midpoint review, session 10. Feedback and direction, early enough that it can still help shape and support your project. Nothing is scored.
• Final review, session 20. Validation of the work, next steps, and the prize decision, scored on the published criteria.

What's included in your seat

One price, everything included:

• 60 hours of live, hands-on sessions (20 x 3h)
• Your own production case as the course project
• Two instructors, up to 12 participants
• Two jury reviews of your project by working AI professionals
• Runpod cloud GPU credits for all course hours plus project work
• Session recordings as catch-up, plus all course materials
• Access to our private Discord community
• Certificate of completion

Your instructors

• Adrien is the Founding CEO & Owner of AInVFX, former Head of Effects at Wētā FX, with 30+ film credits including the Avatar series, Game of Thrones, and Terminator: Dark Fate, and a certified AWS Machine Learning Engineer.
• Rafael is a 3D AI Researcher at AInVFX, co-creator of the open source Houdini ComfyUI Bridge, with studio credits at Pixomondo and Mr. X on shows such as Halo and Guillermo del Toro's Cabinet of Curiosities. Meet the team on our about page.

Hardware and cloud GPU

The Bootcamp is hands-on: you set up, build, and run every workflow yourself, on your own machine or on the cloud GPU credits included in your seat.

The credits run on Runpod, our GPU infrastructure sponsor. Runpod is the cloud GPU platform our participants build on: on-demand GPUs in a few clicks, with no infrastructure to manage. Before the first session you create your own Runpod account, and the credits are added to it: enough to cover all 60 course hours if you need them, plus project work between sessions. The account stays yours after the Bootcamp, with your templates and your setup, so you can keep working the same way.

If you work on your own machine, we recommend an NVIDIA GPU with at least 16 GB of VRAM for the workflows we build.

One important caveat: keep it non-confidential

Your project is seen and discussed by a jury and by peers outside your company, so do not bring confidential material. Before enrolling, anonymize or generalize your production case: change the names, swap the IP for a stand-in, keep the technical problem and drop the secrets. You keep ownership of what you create. We also showcase finished projects publicly, with your name and attribution, on our website and social media, unless you ask us not to: one more reason to bring a case you can show. A shared classroom is not the place for material under NDA.

Is the Bootcamp right for you?

It is a good fit if you are:

• An artist or professional in film, animation, or content production, in a studio, in an agency, or on your own, with a concrete case to build
• A freelancer ready to invest 10 weeks in a portfolio-grade AI production project
• A team building a shared capability: enroll colleagues together and work as a group

It is not the right fit if:

• You want a passive course where you sit and listen. Expect roughly 6 hours of live work per week, and you build in every one of them.
• You cannot attend live sessions regularly. Recordings exist as catch-up, but the value is in the room.
• Your project cannot be de-confidentialized. If the case cannot be anonymized, our private consulting and custom training are the right channel instead.

Cohort 1

Cohort 1 completed on 11 September 2026, with every project presented to a final jury. Cohorts 2 and 3 bring the same production model to open enrollment.

How the projects are scored

Every juror scores each project on the six criteria below, out of 100 points in total. Scores are averaged across the jury, and the three highest totals take the prizes. Results are announced on the day of the final review.

1. Result 20/100

   The quality of what comes out: craft, consistency across shots or assets, and finish.

2. Technical execution 20/100

   How the build is put together: the design of the workflow, the control you have over it, and whether it runs reliably for someone other than you.

3. Progress since the midpoint review 20/100

   How far the project moved after session 10, and how well the jury's feedback was used. This is where a beginner who covers a lot of ground scores as well as an expert who started ahead.

4. Production value 15/100

   Whether it answers a real production need, and whether a studio or a client could put it to work as it stands.

5. Originality 15/100

   How inventive the approach is, and what it does that an off-the-shelf tool does not.

6. Presentation 10/100

   How clearly the presentation explains the problem, the build, and the result in the time given.

NVIDIA Brev is a cloud GPU development platform: winners redeem the credits on their own Brev account and keep building after the Bootcamp. More sponsored prizes may be added during a cohort, and this page is the reference list. The full prize rules are in our Terms & Conditions.

FAQ - Enrollment & policies

FAQ - Content & prerequisites