Generative AI Course Repository 2026

Copyright © 2026 Louis Fontaine — All course materials are protected. Licensed under CC BY-NC-ND 4.0. You may not use these materials to teach your own course, redistribute modified versions, or monetize this content in any form. Attribution is required for any public reference. Contact: louis.fontaine.pro@gmail.com

Welcome to the Generative AI course repository at Dauphine-PSL University for the Master IASD Executive. This repository contains essential materials for the course, including lecture slides, a setup guide, and detailed project descriptions.

Quick Start

1. Follow the setup guide in resources/Guide_Setup_Environment.md to configure your development environment
2. Install the required packages:

   pip install -r requirements.txt

3. Open notebooks/getting_started.ipynb to verify your setup

Repository Structure

.
├── data/                  # Directory for datasets and data files (for the project)
├── notebooks/             # Jupyter notebooks for experiments and examples
├── resources/             # Course materials and documentation
│   ├── Guide_Setup_Environment.md
│   ├── Cours Generative AI 2026 - Slides.pdf
│   ├── Project_Generative_AI_subject_No1.md
│   ├── Project_Generative_AI_subject_No2.md
│   └── Project_Generative_AI_subject_No3.md
├── requirements.txt       # Python package dependencies
└── config.ini             # Configuration file

Course Materials

1. Environment Setup Guide

Located in resources/Guide_Setup_Environment.md, this comprehensive guide provides:

• Step-by-step instructions for setting up your development environment
• Installing Claude Code (AI-powered coding assistant in the terminal)
• Required package installations (including the Anthropic Python SDK)
• IDE configuration

2. Course Slides

resources/Cours Generative AI 2026 - Slides.pdf contains the lecture materials covering fundamental concepts of Generative AI, theoretical foundations, practical applications, and implementation examples.

3. Project Descriptions

The course includes three projects that progressively build your understanding and skills in Generative AI:

Project 1: Web Application with RAG and Anthropic API

Located in resources/Project_Generative_AI_subject_No1.md

• Development of an end-to-end web application using Retrieval Augmented Generation (RAG)
• Integration with Anthropic's Claude API
• Vector database implementation (ChromaDB)
• Enterprise data processing
• Flask backend with HTML/CSS/JS frontend

Project 2: AI Agent Application

Located in resources/Project_Generative_AI_subject_No2.md

• Development of an autonomous AI Agent that can reason and take actions
• Tool use and function calling with Claude
• Multi-step reasoning and task decomposition
• Real-world automation use cases

Project 3: Voice Note Mobile App for Startup Ideas

Located in resources/Project_Generative_AI_subject_No3.md

• Development of an Android or iOS mobile app
• Voice-to-text recording for capturing ideas on the go (biking, walking, driving)
• LLM-powered structuring and enhancement of raw voice notes
• Local storage and idea management

Dependencies

See requirements.txt for the full list. Key packages include: pandas, numpy, flask, anthropic, chromadb.

Contributing

For any questions or suggestions, please contact:

• Email: louis.fontaine.pro@gmail.com
• GitHub Issues: Feel free to open an issue for any questions or problems

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Good luck with the projects, and enjoy your journey into the world of Generative AI!