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BasicAI-To-GenerativeAI Bootcamp Repository

Welcome to the BasicAI-To-GenerativeAI Bootcamp repository! This repository contains all resources, code, and documentation for your journey from understanding fundamental AI concepts to mastering advanced Generative AI technologies.


📋 Course Overview

This bootcamp is designed to provide a structured pathway to learn the evolution of AI, from foundational concepts to advanced generative models and their applications.

Module Breakdown:

Module 00 - Overview

  • A high-level introduction to AI concepts and the scope of the bootcamp.

Module 01 - Foundations of AI

  • Core concepts of AI, including classical AI approaches and the basics of machine learning.

Module 02 - Deep Learning and Neural Network Architectures

  • Dive into deep learning fundamentals and explore architectures like CNNs and RNNs.

Module 03 - Natural Language Processing

  • Techniques and algorithms for understanding and generating human language.

Module 04 - Language Model Architectures

  • Explore architectures for state-of-the-art language models and their applications.

Module 05 - Large Language Models

  • Understanding and working with large-scale pre-trained language models (LLMs) like GPT, BERT, etc.

Module 06 - Retrieval-Augmented Generation (RAG)

  • Learn about combining retrieval techniques with generative models for knowledge-augmented AI systems.

Module 010 - Future Directions

  • Insights into upcoming trends and innovations in AI.

Module 011 - Personal Branding Portfolio

  • Create a personal AI portfolio to showcase your expertise and projects.

🚀 Repository Structure

/code               # All source code and scripts
/datasets           # Sample datasets for hands-on sessions
/notebooks          # Jupyter notebooks for exercises and assignments
/docs               # Documentation and additional resources
README.md           # This file

🔧 Prerequisites

  • Basic programming skills (Python preferred).
  • Understanding of linear algebra, probability, and basic statistics.

🛠️ Setup Instructions

  1. Clone this repository:
    git clone https://github.com/username/repo-name.git
    
  2. Install the dependencies:
    pip install -r requirements.txt
    
  3. Navigate through /code and /notebooks folders for hands-on exercises.

💬 Feedback & Support

For assistance, email me at [email protected].

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