Generative AI

Course Plan

Week 1: Fundamentals of Generative Models

Introduction to Generative AI: GANs, VAEs, and diffusion models
Applications in text, image, and music generation

Week 2: Transformers and Attention Mechanisms

Deep dive into transformer architecture and self-attention
Hands-on: Building a simple transformer model with PyTorch

Week 3: Diffusion Models for Image Generation

Understanding diffusion models and their mechanics
Implementing image generation with Stable Diffusion

Week 4: Large Language Models (LLMs) - Part 1

Overview of LLMs: GPT, BERT, and LLaMA
Pre-training and fine-tuning techniques using Hugging Face

Week 5: Fine-Tuning LLMs

Fine-tuning GPT models on custom datasets with AWS SageMaker
Optimizing model performance for specific tasks

Week 6: Introduction to LangChain

Building generative AI applications with LangChain
Creating a simple text generation pipeline

Week 7: Retrieval-Augmented Generation (RAG)

Understanding RAG and its role in enhancing LLMs
Implementing RAG with LangChain and FAISS for knowledge retrieval

Week 8: LlamaIndex for Data-Augmented Generation

Using LlamaIndex to index and retrieve data for generative tasks
Building a Q&A system with LlamaIndex and LLaMA

Week 9: Text-to-Image Generation with CLIP

Combining CLIP with diffusion models for text-to-image generation
Creating a web app with Streamlit to showcase results

Week 10: Ethical Considerations in Generative AI

Addressing bias, fairness, and ethical issues in generative models
Case studies on responsible AI deployment

Week 11: Project - Chatbot Development

Build a conversational chatbot using LangChain and RAG
Integrate LlamaIndex for knowledge retrieval from custom documents
Deploy the chatbot as a web app using Flask API

Week 12: Generative AI with Vertex AI

Deploying generative models on Google Cloud with Vertex AI
Using Gemini models for advanced text generation

Week 13: API Development with Flask

Creating a Flask API to serve generative AI models
Building an endpoint for text generation with fine-tuned LLMs

Week 14: Project - Text-to-Image API Application

Develop a Flask API for text-to-image generation using Stable Diffusion
Integrate the API with a Streamlit frontend for user interaction
Deploy the application on AWS or GCP

Week 15: Capstone Project - Creative AI System

Design a generative AI system for art or music generation
Use diffusion models for art generation and LLMs for music lyrics
Deploy the system with a Flask API and Streamlit interface

Week 16: Final Review and Deployment

Optimize projects for production deployment
Review and present final solutions

Why Enroll in This Course?

Cutting-Edge Technology

Master the latest generative AI techniques, including transformers and diffusion models.

High-Demand Skills

Generative AI expertise is sought after in industries like tech, media, and entertainment.

Practical Projects

Build real-world applications like chatbots and text-to-image systems to showcase your skills.

Ethical AI Focus

Learn to develop responsible AI solutions with a focus on fairness and bias mitigation.

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