Factor N
AI-Assisted Programming

AI-Assisted Programming

On-Site
300H
9 Months
Beginner > Senior
LIMITED SPOTS
NEXT EDITION October 2026

Learn to direct AI to build the tools your pipeline needs. No prior knowledge required. With real results from day one.

For the most analytical profiles. Become a Software Architect: Python, advanced scripting, custom tool development (Tool dev) and shader creation.

Course Syllabus

01

Mindset and Environment

The starting point. Before touching code, you will change the way you see problems. You will learn what vibe coding is, why it completely transforms access to programming, and you will configure the professional work environment you will use throughout the course.

  • What is vibe coding and why it changes everything
  • Environment setup: VS Code + Claude Code + Python
  • Reading code you didn't write: the bare minimum you need to understand
  • The workflow cycle: describe → generate → test → refine
02

The Art of Talking to AI

The most important skill of the course. You will learn to break down any production problem into instructions that AI understands and executes. The difference between getting garbage code and getting a functional tool is in how you formulate what you need.

  • How to break down a production problem into concrete steps
  • Prompts that work: context, objective, and constraints
  • When AI makes mistakes: how to correct without knowing how to program
  • Building on what already works: progressive iteration
03

First Real Tools

You stop learning and start building. You will create real tools that solve real production problems: automations, utility scripts for DCCs, and your first graphical interface. All with AI as your copilot.

  • Automation of repetitive tasks: mass renaming, organizing, exporting
  • Utility scripts for any DCC (Blender, Maya, Houdini, Nuke)
  • Creating your first graphical interface with AI
  • Packaging and sharing a tool with your team
04

Pipeline Tools

Connecting the dots. You will learn to build tools that not only work alone but are part of a production flow: moving data between programs, automating deliveries, and managing assets at a studio scale.

  • Connecting tools with each other: moving data between DCCs
  • Automation of renders and deliveries
  • Asset management: naming, versioning, and file management
  • Maintenance: how to ask AI to fix or improve existing code
05

Final Project

The real closing of the course. You will identify a problem in your own workflow and build a functional tool from start to finish. Your first technical portfolio, defended before industry professionals.

  • Identifying a real problem in your workflow
  • Iterative development: from idea to functional prototype with AI
  • AI-generated documentation
  • Presentation and defense before industry professionals

Work Pipeline

Python
VS Code
Claude Code

High-Performance Methodology

Sensory Ergonomics

Classrooms with adjustable lighting, ambient noise reduction, and ANC headphones allowed at all times. Zero "Masking".

Asynchronous Work

We understand that energy fluctuates. Weekly goals by milestones, not just warming the seat on a rigid schedule.

Without Distractions

Optimized environment for hyper-focus. We eliminate visual and auditory noise so that only your learning matters.

Representative Leadership

Your supervisors share your neurology. They have reached the top of the industry and know exactly how to boost your talent.

Project-Based Training

You won't learn concepts in a vacuum. From the first week you will build real tools that solve real problems. The project is the syllabus.

Student-Adapted Syllabus

Each student arrives with a different starting point. The level of depth, pace, and projects are tailored to you. No two students have the same journey.

Request Info

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Program Mentor
Raberaz

Raberaz

CTO & Technology Director

Technical pipeline architect with over 15 years in the animation and visual effects industry. He has led software for productions such as Tadeo Jones 2, Capture the Flag, or Tadeo Jones 4 at Lightbox Animation Studio, then moved on to technical direction as CTO of La Tribu until his current role as Head of Technology at BCN Visuals.

Python & Pipeline

Student Profile

Logical and analytical ability
Interest in optimizing processes and workflows
'Problem solver' mentality
Curiosity for tool development
Whether you have never programmed or already have experience and want to multiply it with AI