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Build, Automate & Scale AI Workflows

Advanced ComfyUI

From Builder to Expert: Automate, Scale, and Structure Advanced ComfyUI Pipelines.

Deep workflows, automation, training, 3D, and production-level systems

— built step by step, with expert guidance.

Live + Self-paced | 12 January, 2026 | 13 weeks

multiple instructors • production-ready pipeline • 1 real-world project

3 € • €3,200 (3-month installment plan)

Spots are limited.

Meet Your Mentors

Learn from industry leaders who've shaped the creative AI landscape

Maged Elbanna

Maged Elbanna

Course Director

Maged brings technical clarity to complex AI workflows. He'll guide you through ComfyUI, integration with Rhino/SketchUp, and production-level render consistency.

Luka Tisler

Luka Tisler

Co-Instructor

Luka brings years of experience in visual AI for advertising and content production. He specializes in high-volume, high-quality image workflows—and his sessions focus on real-world use cases and creative control.

What You'll Learn

How to design scalable, modular ComfyUI workflows
System-level thinking: from exploration to deployment
Debugging and iteration techniques used in production
Advanced ControlNets, training hooks, and custom node logic
Batch rendering, asset management, and pipeline optimization
Completion of a finished, portfolio-ready project tailored to your field
How to create reusable pipelines for characters, environments, or branded outputs

Course Rhythm

Masterclasses

Thursdays

4:00 PM - 6:30 PM CET

Sandbox Sessions

Tuesdays

4:00 PM - 5:00 PM CET

Knowledge Drop

Wednesdays

Self-paced

Community

Unlimited

Unlimited

Frequently Asked Questions

Do I need prior ComfyUI experience to join?
Yes. This is an advanced course. You should be comfortable building basic workflows in ComfyUI — connecting nodes, running generations, and installing custom nodes. If you are brand new to ComfyUI, we recommend starting with free tutorials to get the basics down first.
What will I be able to build after the course?
You will be able to build production-ready AI workflows — including LoRA training pipelines, multi-model composition workflows, 3D-to-AI render pipelines, and automated batch-processing systems. Our students have used these skills to deliver paid client work within weeks of completing the course.
What hardware or GPU do I need?
A GPU with at least 8GB VRAM (e.g., RTX 3060 or better) is recommended for running workflows locally. We also cover cloud GPU setups (RunPod, Vast.ai) for students without a dedicated GPU. Most of the course can be followed with cloud compute.
How are the live sessions structured?
Each week has a live workshop session where the instructor builds workflows in real time, plus a Q&A and review session where you get feedback on your own work. Sessions are recorded and available within 24 hours if you miss one.
Do I keep access to course materials after it ends?
Yes. You keep lifetime access to all recordings, workflow files, and course materials. You also stay in the alumni community where graduates share workflows and job opportunities.
Is there a certificate?
Yes. You receive a Lighthouse AI Academy certificate of completion after finishing the course and submitting your final project.
Can I pay in installments?
Yes. We offer payment plans for all courses. Check the pricing section on the course page for available options, or contact us for a custom arrangement.
What if I fall behind or miss sessions?
All sessions are recorded. You can watch at your own pace and ask questions asynchronously in the course community. Our mentors are available between sessions to help you catch up.

Case Studies

Real stories and insights from our community

Move Your Bones: Reimagining Music Video Production with AI

Isaac Irvin had been carrying an idea for years — a music video for his band, Los Pochos, laden with surreal imagery and well-animated storylines. Instead of requiring a team and massive budget, he created it alone using AI tools learned at Lighthouse AI Academy.

Adam Eli Bernhardt
Adam Eli Bernhardt
Aug 6, 2025

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