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DR\n\u003e\n\u003e - Docker Desktop\n\u003e - Git\n\u003e - Python 3.11\n\u003e - UV\n\u003e - Install requirements\n\nYou can find all pre-requisites and setup instructions [here](PREREQUISITES.md).\n\n## Timeline\n\nCourse start: October 21st\nCourse end: October 24th\n\n## Syllabus\n\n## [Module 1: Introduction to MLOps](lessons/00-intro)\n\n- What is MLOps\n- Course overview\n- Coding best practices\n- Prerequisites and setup\n- Running example: NY Taxi trips dataset\n\n## [Module 2: Experiment Tracking](lessons/01-model-and-experiment-management)\n\n- Experiment tracking intro\n- What is MLflow\n- Experiment tracking with MLflow\n- Saving and loading models with MLflow\n- Model registry\n- Practice\n\n## [Module 3: Model Deployment](lessons/02-model-deployment)\n\n- Web service: model deployment with FastAPI\n- Docker: containerizing a web service\n- Practice\n\n## [Module 4: Pipelines and Orchestration](lessons/03-pipeline-and-orchestration)\n\n- Tasks, Flows, Deployments\n- From notebooks to Workflows\n- Workflows orchestration with prefect\n- Practice\n\n## Project\n\n- End-to-end project with all the things above\n\n## Instructors\n\n- DEBES Hugo\n- JOUINI Youssef\n- ROHART Capucine\n- SION Pierre\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fartefactory%2Fxhec-mlops-2025","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fartefactory%2Fxhec-mlops-2025","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fartefactory%2Fxhec-mlops-2025/lists"}