This repository contains the materials and hws for the MLOps Zoomcamp organized by DataTalks Club. The course provides an comprehensive introduction to Machine Learning Operations (MLOps), covering various aspects of building, deploying, and maintaining machine learning systems in production environments.
The MLOps Zoomcamp covers the following topics:
- Introduction to MLOps: Understanding the importance of MLOps, its challenges, and best practices.
- Data Management: Techniques for data versioning, data preprocessing, and data validation.
- Model Training and Evaluation: Strategies for efficient model training, hyperparameter tuning, and model evaluation.
- Model Deployment: Deploying machine learning models to production environments, including containerization and serverless deployment.
- Model Monitoring: Monitoring deployed models for performance, drift, and outliers.
- MLOps Orchestration: Automating the end-to-end MLOps lifecycle using tools and frameworks.
- Case Studies and Best Practices: Real-world examples and best practices for implementing MLOps in various industries.
Original Repo link to the course - https://github.com/DataTalksClub/mlops-zoomcamp
Youtube Playlist link - https://www.youtube.com/playlist?list=PL3MmuxUbc_hIUISrluw_A7wDSmfOhErJK
HWs - https://courses.datatalks.club/mlops-zoomcamp-2024/