Le Wagon

Enroll in the Data Science & AI bootcamp.

Master Python, SQL, and Machine Learning fundamentals.

Build a deep learning project using Hugging Face transformers.

Utilize the Career Services to optimize LinkedIn and GitHub profiles.

Interview with partner companies through the Le Wagon network.

Join the Web Development track.

Learn frontend (HTML/CSS/JS) and backend (Ruby on Rails).

Integrate OpenAI API for core product functionality.

Deploy the app to Heroku/Vercel during the final project phase.

Launch the MVP on Demo Day to potential seed investors.

Contract Le Wagon for a 4-week custom corporate sprint.

Baseline team skills via the Kitt assessment tool.

Conduct workshops on RAG (Retrieval-Augmented Generation) architectures.

Implement internal AI tools using company data in a sandboxed environment.

Track progress via the Enterprise Dashboard.

Enroll in the Data Engineering track.

Learn Airflow, Docker, and cloud infrastructure (AWS/GCP).

Build automated ETL pipelines for real-time data streaming.

Implement data quality checks using dbt.

Transition to an Engineering role with a salary increase.

Complete the 24-week Part-Time Remote track.

Build a portfolio of 5+ production-grade applications.

Access the Global Alumni network to find remote contract roles.

Set up a freelance profile using Le Wagon's reputation as a quality mark.

Work from any of the 40+ global 'Wagon' hubs as a visitor.

Enroll in the Part-Time Web track.

Understand the lifecycle of a web request and database schema design.

Build a project to understand sprint cycles and technical debt.

Improve documentation and PRD clarity using new technical vocabulary.

Bridge the gap between business needs and technical feasibility.

Join the Data Science short-course or full bootcamp.

Learn Python and NLP (Natural Language Processing).

Scrape social media data and run sentiment models.

Build a dashboard to visualize customer behavior patterns.

Automate reporting tasks using Python scripts.