GenAI for Engineers Class

Code and material for the class "Introduction to GenAI for Engineers"

🚀 Let's get started!

#	name	open in
1	Explore Embeddings
2	What are Vector Databases?
3	RAG From Scratch
4	Haystack Basics
5	Haystack RAG
6	Guardrails
7	Observability
8	Function Calling
9	Agents
10	Agents for Income Statement Analysis

🎓 A bit of theory

The slides for this class are available on Canva, kindly powered by xtream.

🥂 How to contribute

Note

The project uses Python 3.11 for compatibility with Colab.

1. Install uv, following the official docs: https://docs.astral.sh/uv/getting-started/installation/

2. Run:

uv sync --all-groups

3. It is highly recommended to use nbstripout to avoid pushing the output of jupyter notebooks. Install it with:

pre-commit install

🤗 Authors

This class was created by the AI team at xtream, with contributions from:

• Emanuele Fabbiani
• Luca Baggi
• Gabriele Orlandi
• Fabio Lipreri
• Marta Peroni
• Carlo Piccinin

🔍 Spotted in...

The material in this repository was used in classes and seminars taught at:

• Catholic University of Milan, 2025
• Fabrick, 2025
• Atlante, 2025
• CRIF, 2024 & 2025
• Talent Garden, 2025
• Zuccari, 2025
• TWIN Agency, 2024
• WeRoad, 2024
• Banca CF+, 2023
• Boolean Dataweek, 2023

And was the base for the 10+ talks and workshops, including:

• Embeddings, Transformers, RLHF: Three Key Ideas to Understand ChatGPT, AI Conf, 2024, Milan, Italy
• How to Build Your Own GPT, AMLD, 2024, Lausanne, Switzerland
• Embeddings, Transformers, RLHF: Three Key Ideas to Understand ChatGPT, PyCon IT, 2024, Florence, Italy
• Beyond ChatGPT: RAG and Fine-Tuning, University of Pavia, 2024, Pavia, Italy
• Embeddings, Transformers, RLHF: Three Key Ideas to Understand ChatGPT, BI Digital, 2023, Biella, Italy
• Embeddings, Transformers, RLHF: Three Key Ideas to Understand ChatGPT, SIIAM Congress, 2023, Rome, Italy