Generative AI Course Experience

Master creative AI with clarity, control, and style.

A premium 12-week learning experience for designers, architects, visualization specialists, artists, and technical creatives who want practical command over image generation, 3D workflows, AI video, automation, and AI-assisted web creation.

The interface is now organized into focused tabs so visitors can explore the course in clearer sections without seeing everything at once.

Overview
Sessions
Showcase
Enroll
Image
Video
3D Mesh
Automation
CF
Node FlowComfyUI
GM
ModelGemini
OC
BuildOpenCode
AL
AgentAnythingLLM
FP
AssetsFreepik
HG
MotionHiggsfield AI
GenAI
Flow

Why this course

Build reusable node-based systems instead of one-off prompts while understanding how generative AI workflows actually behave under the hood.
Overview

Audience and objectives in one focused view.

Audience

  • People who tried ComfyUI and felt lost or overwhelmed.
  • Total beginners to node-based systems who want a clear mental model.
  • Creatives moving beyond drag-and-drop AI tools into reusable pipelines.
  • Artists, makers, and automation-focused teams exploring reproducible image and video generation.
  • Architects, interior designers, landscape architects, graphic designers, 3D artists, product designers, freelancers, and studios.

Objectives

  • Transform sketches and 3D massing into high-fidelity renders.
  • Build reusable custom AI workflows for repeated design tasks.
  • Rapidly iterate across styles, materials, mood, and lighting.
  • Animate architectural spaces and create cinematic motion outputs.
  • Generate 3D base meshes from 2D concepts and bridge into Rhino or Blender.
  • Combine ComfyUI with Krita, plugins, and zero-code web or app development flows.
12
Weekly sessions in a structured progression.
36h
Total guided instruction across the course.
1
Final project pipeline connecting concepts to delivery.
Notes

Course timing and essential notes.

Duration

12 weeks, 1 day per week, 3 hours per session.

Total Time

36 guided hours across a progressive hands-on curriculum.

Course Note

Topics and duration may be modified by the instructor based on participant knowledge and skill level.
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Sessions

A 12-session roadmap from foundations to final delivery.

Session01

AI Foundations

  • AI terminology and useful websites
  • What is ComfyUI?
Session02

Setup & Basic Workflows

  • Download and install ComfyUI
  • Interface overview
  • Simple text-to-image workflow
  • Image-to-image workflow
Session03

Prompting & Models

  • Prompting instructions
  • Ollama, Florence, Qwen VL, AI Studio
  • Model types: SDXL, Flux, Qwen Image, Z-Image
Session04

ControlNet & LoRA Workflows

  • Overview of ControlNet and IP Adapter
  • Using LoRAs
  • LoRA training
Task: Train your own LoRA
Session05

Enhancement Pipeline

  • Segmentation and autodetection
  • Enhancing full images and selected parts
  • Upscaling
Task: Execute a full image enhancement pipeline
Session06

Inpainting & Design Iteration

  • Inpainting workflows
  • Image editing models
  • Differences between normal and edit-specific inpainting
Task: Update materials, context, people, objects, and atmosphere
Session07

Krita Integration

  • Photo manipulation in Photoshop
  • Intro to Krita and AI plugins
  • Generate, upscale, and organize presets
  • Insert ComfyUI workflows and custom parameters in Krita
Task: Deploy a custom ComfyUI workflow within Krita
Session08

3D Generation

  • 3D generation in Hunyuan
  • Trellis with textures
  • 3D models to segments
  • Advanced 3D workflows
Task: Construct a textured 3D asset from a 2D design
Session09

AI Video Generation

  • Intro to local AI video generation
  • Online video pipeline
Task: Generate a professional cinematic animation
Session10

LLMs, MCP & Automation

  • Anything LLM
  • MCP
  • Use ComfyUI as one tool among many
  • Website and app workflows with AI tools
  • Final project setup
Task: The final project
Session11

Vibe Coding, Websites & AI Agents

  • Intro to vibe coding
  • Skills and AI agents
  • Building websites and apps with AI coding tools
  • UI tools: OpenCode, Claude, VS Code, Antigravity, Codex
  • Project follow up
Task: Develop and launch a custom web application
Session12

Arch Viz & Interior AI

  • AI in architectural visualization techniques
  • AI in interior design techniques
  • Final project follow up
Task: Finalize the project
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Showcase

A dedicated space for future examples and course-made results.

This tab is prepared for future visuals, student outputs, rendered scenes, videos, and before-and-after examples.
Prepared Section

Examples will appear here

Use this space later for image generations, architectural renders, animation previews, AI-assisted web examples, 3D results, or class outcomes.
The layout is ready for media cards, preview thumbnails, linked case studies, or embedded demos.
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Enroll

Enroll and secure your seat.

Early Bird

Early Enrollment Offer

15% Off
First 10 Seats
6,799 EGP
7,999 EGP
Join the course for 6,799 EGP instead of 7,999 EGP. This early bird offer is available for the first 10 seats only.
  • 12 guided sessions across foundations, workflows, prompting, and production.
  • Hands-on coverage of ComfyUI, ControlNet, LoRA workflows, inpainting, and enhancement pipelines.
  • Practical learning path focused on real creative and architectural AI outputs.
Standard pricing applies after the first 10 seats are filled.
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