Tutorials

Welcome to the Digitalhub SDK tutorials! These hands-on guides will teach you the platform's capabilities through practical, real-world examples.

How to Use These Tutorials

Each tutorial is built around an interactive Jupyter notebook that you can import and run in your development environment:

1. Import the notebook - Each tutorial references a specific .ipynb file from the digitalhub-tutorials repository
2. Execute step by step - Run the notebook cells sequentially to follow along with the tutorial
3. Learn by doing - The notebooks contain working code examples with explanations

All notebooks are designed to be self-contained and include detailed explanations of each step in the process.

📊 Data Processing & Transformation

Learn to work with data in Digitalhub:

• ETL Data Processing Extract, transform, and load traffic data using Digitalhub workflows

• Database Transformation with DBT Transform organizational data using DBT.

🤖 Machine Learning

Build, train, and deploy ML models:

• Scikit-Learn Model Training Complete ML workflow from data preparation to model serving

• MLflow Model Management Track experiments and manage model lifecycle with MLflow

• Custom ML Models with Darts Time series forecasting using the Darts framework

🧠 AI & Large Language Models

Work with advanced AI models:

• Large Language Models Deploy and serve LLMs from HuggingFace catalog and custom models

📦 Source Code

All tutorial source code, notebooks, and configurations are available in the digitalhub-tutorials repository.

🆘 Getting Help

• Documentation: Check the main SDK documentation for API references
• Issues: Report problems in the GitHub repository