This project demonstrates how to use Google Gemini Generative AI models in Python using the official google-generativeai SDK.
The notebook shows how to configure the API, list available models, send prompts, and generate AI responses.
It is designed as a beginner-friendly introduction to Gemini models and prompt-based AI generation.
- Setup and configure Google Gemini API
- Use Gemini Flash models
- Generate responses using prompts
- Compare AI concepts like:
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Generative AI
- Agentic AI
- List available Gemini models
- Format outputs using Markdown in Jupyter Notebook
- Python
- Google Generative AI SDK
- Gemini Models
- Jupyter Notebook
- IPython Markdown Display
Install the required library:
pip install -U google-generativeai
After exploring this notebook, you will understand:
How to connect to Google Gemini models
How prompt-based generation works
How to experiment with different Gemini model versions
How to format AI responses in notebooks