Ingénieur IA associé pour les scientifiques de données

Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.

4 hours

Learn the nuts and bolts of LLMs and the revolutionary transformer architecture they are based on!

4 hours

Use LLMs to solve diverse language tasks for a car dealership company.

2 hours

Explore the latest techniques for running the Llama LLM locally, fine-tuning it, and integrating it within your stack.

4 hours

Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.

2 hours

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

4 hours

Familiarize yourself with Git for version control. Explore how to track, compare, modify, and revert files, as well as collaborate with colleagues using Git.

4 hours

Learn about modularity, documentation, and automated testing to help you solve data science problems more quickly and reliably.

4 hours

Maîtrisez les tests Python : Apprenez des méthodes, créez des vérifications et assurez-vous d'un code sans erreur avec pytest et unittest.

4 hours

Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.

2 hours