Shypd.aiThe largest open index of AI toolsMLOps Coding Course teaches how to create, develop, and maintain state-of-the-art MLOps codebases using Python. It offers hands-on coding, project-driven learning, and insights into effective MLOps techniques.
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The MLOps Coding Course is an open-source educational resource designed to immerse learners in the practical applications of machine learning and artificial intelligence projects using Python. It caters to both beginners and experienced professionals, offering hands-on coding experiences and project-driven learning. The curriculum covers essential MLOps techniques, from environment setup and prototyping with Jupyter notebooks to productionizing code, ensuring quality through validation, and refining processes with CI/CD and containerization. The course also emphasizes sharing and observability for robust MLOps projects. It familiarizes users with industry-standard tools like uv, pytest, MLflow, and GitHub, and offers optional mentoring sessions and an MLOps Coding Assistant for enhanced learning.
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