Course Details
Creative AI & Diffusion Models
Explore Stable Diffusion, GANs, and neural rendering to generate art, music, and synthetic media.
Hands-on Highlights
This program is designed around shipping functional, production-ready AI applications from day one. You will move beyond theory and build real products.
- 1Train a custom GAN for face generation
- 2Fine-tune Stable Diffusion using DreamBooth
- 3Build an AI-powered image editing pipeline
- 4Generate synthetic voice audio using VITS
Detailed Syllabus
GANs & Generative Foundations
- →Introduction to Generative Adversarial Networks
- →Building a DCGAN from scratch
- →StyleGAN architectures
- →Generating synthetic human faces
Diffusion Models
- →The math behind diffusion (Forward & Reverse processes)
- →Stable Diffusion architecture
- →Prompt engineering for image generation
- →Fine-tuning with DreamBooth and LoRA
Audio & Video Generation
- →ControlNet for guided image generation
- →Voice cloning and TTS using VITS/Bark
- →Introduction to AI video generation
- →Deploying a creative AI web app
Format & Location
Hybrid Learning
Choose between intensive IRL bootcamps at our physical campuses in Pondicherry, Vellore, or Coimbatore, or join our flexible online programs designed for working professionals.
Prerequisites
Who is this for?
We assume a fundamental understanding of Python and basic programming concepts. This is for developers looking to master deep learning and build real AI products.
Elite Mentorship
Learn from builders
Learn directly from engineers who have built and scaled AI systems. Get code reviews, architecture feedback, and career guidance.
Outcomes
Ship real products
Our primary focus is helping you build a strong portfolio of real, deployed AI products to show employers. All graduates receive a verifiable certificate.
Ready to build?
Join our next cohort to get started.