Module 01 · 3.5 hrs
Start hereIntroduction to Generative AI
Explore pre-trained models like GPT and Stable Diffusion.
LLMs, diffusion & multimodal AI
Build with the generative AI stack — GANs, VAEs, transformers, prompt engineering, code and image generation, chatbots, LLM apps, ethics and cloud deployment.
Every module pairs a focused topic with a guided practical exercise — learn it, build it, then practice it on the Atom Code portal in the same session.
Introduction to Generative AI
Explore pre-trained models like GPT and Stable Diffusion.
Generative Adversarial Networks (GANs)
Implement a simple GAN using TensorFlow/PyTorch.
Variational Autoencoders (VAEs)
Build a VAE for image generation.
Deepfake Technology
Experiment with deepfake tools.
Text Generation with RNNs
Implement text generation using LSTMs.
Transformer Models
Fine-tune a transformer model using Hugging Face.
Prompt Engineering
Experiment with OpenAI's GPT models.
Code Generation
Build an AI-powered code assistant.
Speech Synthesis & Audio AI
Implement TTS using Google's Tacotron or OpenAI Whisper.
AI Art & Image Generation
Generate images using Stable Diffusion.
Music Generation
Generate music using Jukebox or Magenta.
Style Transfer & Image Enhancement
Implement neural style transfer.
AI-powered Chatbots
Develop a chatbot using GPT API.
Video Generation & Editing
Experiment with Runway ML or DeepDream.
Multimodal AI
Implement a multimodal AI project.
AI in Gaming
Develop AI-powered game bots.
Large Language Models (LLMs)
Experiment with GPT-4 API for various applications.
AI Regulation & Compliance
Analyze AI regulations and ethical AI frameworks.
Generative AI Deployment
Deploy an AI model on cloud or edge.
Project Presentation & Wrap-up
Showcase individual and group projects.