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Next-Gen AI Technologies Faculty Development Programme

Malla Reddy University, Hyderabad

December 6-7, 2024

Event Details

  • Venue: Malla Reddy University, Maisammaguda, Kompally, Hyderabad - 500100
  • Focus Areas:
    • Explainable AI (XAI)
    • Vector Databases & LlamaIndex
    • Large Language Model Integration
    • AI Application Development
    • System Integration Techniques

Installation Requirements

1. Development Environment

Visual Studio Code

Python Installation

  • Download Python 3.10.12: https://www.python.org/downloads/release/python-31012/
  • Installation Steps: 
    # Verify Python installation
python --version

# Create virtual environment
python -m venv fdp_venv

# Activate virtual environment
# Windows:
.\fdp_venv\Scripts\activate
# Linux/macOS:
source fdp_venv/bin/activate

2. Version Control Tools

GitHub Desktop

  • Download: https://desktop.github.com/
  • Features needed for the workshop:
    • Repository creation
    • Commit and push changes
    • Branch management

Git

3. Required Python Libraries

Core AI/ML Libraries

# Update pip first
pip install --upgrade pip

# Install core libraries
pip install numpy==1.24.3
pip install pandas==2.0.3
pip install matplotlib==3.7.2
pip install scikit-learn==1.3.0

Deep Learning Frameworks

# TensorFlow
pip install tensorflow==2.13.0

# PyTorch (CPU version)
pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cpu

Vector Databases & LLM Tools

# Vector database tools
pip install faiss-cpu==1.7.4
pip install llama-index==0.8.4

# OpenAI integration
pip install openai==0.28.1

Jupyter Environment

pip install notebook==7.0.3
pip install ipykernel==6.25.1

4. API Development Tools

Postman

5. Cloud Service Accounts

OpenAI Account Setup

  1. Sign up at https://platform.openai.com/
  2. Create API key
  3. Set environment variable:
# Windows (PowerShell)
$env:OPENAI_API_KEY="your-api-key-here"

# Linux/macOS
export OPENAI_API_KEY="your-api-key-here"

6. Hardware Requirements

  • Minimum:
    • 8GB RAM
    • Intel i5/AMD Ryzen 5 or equivalent
    • 10GB free storage
  • Recommended:
    • 16GB RAM
    • Intel i7/AMD Ryzen 7 or better
    • Dedicated GPU (NVIDIA preferred)
    • 20GB free storage

Verification Script

Save and run this script to verify installations:

import sys
import numpy as np
import pandas as pd
import tensorflow as tf
import torch
import faiss
import openai
from llama_index import GPTVectorStoreIndex

def check_versions():
    versions = {
        'Python': sys.version,
        'NumPy': np.__version__,
        'Pandas': pd.__version__,
        'TensorFlow': tf.__version__,
        'PyTorch': torch.__version__,
        'FAISS': faiss.__version__,
        'OpenAI': openai.__version__
    }
    
    print("Installation Verification Report")
    print("===============================")
    for package, version in versions.items():
        print(f"{package}: {version}")

if __name__ == "__main__":
    check_versions()

Additional Resources

Documentation Links

Learning Materials

Troubleshooting Common Issues

Python/pip Issues

# If pip is not recognized
python -m ensurepip --default-pip

# If installation fails
pip install package_name --no-cache-dir

Virtual Environment Problems

# If venv creation fails
python -m pip install --user virtualenv
python -m virtualenv fdp_venv

# If activation fails on Windows
Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser

GPU Setup (Optional)

Contact Information

Pre-Workshop Checklist

  • Python 3.10.12 installed and verified
  • VS Code installed with extensions
  • Git and GitHub Desktop configured
  • Virtual environment created and activated
  • All required libraries installed
  • OpenAI API key obtained and configured
  • Postman installed
  • Verification script run successfully
  • Documentation bookmarked for reference