Welcome to our comprehensive Generative AI training course! This repository contains structured learning materials, hands-on labs, and resources to help you master Generative AI concepts and tools.

This course is designed with a 50-50 split between theory and practical hands-on labs, ensuring you gain both deep understanding and practical experience with Generative AI technologies.

1. Introduction to Generative AI & Tools

   • Understanding fundamental concepts of Generative AI
   • Exploring key tools and frameworks
   • Hands-on experience with OpenAI API and Hugging Face

2. Mastering Prompt Engineering

   • Advanced prompting techniques
   • Domain-specific prompt engineering
   • Building practical applications with LangChain

• Basic Python programming knowledge
• Familiarity with Jupyter notebooks
• GitHub account for accessing Codespaces
• Google account for Colab notebooks

1. Click the "Code" button above
2. Select "Open with Codespaces"
3. Click "New codespace"
4. Wait for the environment to be configured automatically

1. Clone the repository:

git clone https://github.com/yourusername/generative-ai-training.git

2. Install dependencies:

pip install -r requirements.txt

generative-ai-training/
├── module1/
│   ├── theory.md
│   └── labs/
│       ├── lab1_environment_setup.ipynb
│       ├── lab2_openai_basics.ipynb
│       └── lab3_huggingface_exploration.ipynb
├── module2/
│   ├── theory.md
│   └── labs/
│       ├── lab1_qa_bot.ipynb
│       ├── lab2_code_generator.ipynb
│       └── lab3_langchain_basics.ipynb
└── requirements.txt

This project is licensed under the MIT License - see the LICENSE file for details.