MLflow

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Open Source Platforms for MLOps (Coursera) Coursera
Duke University

Open Source Platforms for MLOps (Coursera)

Dive into the world of MLOps with our expert-led course that focuses on two essential open-source tools: MLflow and Hugging Face. This course is designed for data scientists, developers, and anyone looking to streamline their machine learning model lifecycle management. From tracking experiments to deploying models, you'll gain hands-on experience with real-world applications.

Jun 1st 2026
4 Weeks
Spark, Hadoop, and Snowflake for Data Engineering (edX) EdX
AI (Pragmatic AI Labs)

Spark, Hadoop, and Snowflake for Data Engineering (edX)

Unlock the potential of your data with our expert-led course on Spark, Hadoop, and Snowflake for Data Engineering. Whether you're a beginner or an intermediate professional looking to enhance your skills, this course will equip you with the knowledge needed to build efficient and scalable data pipelines. Dive into essential platforms like Hadoop, Apache Spark, and Snowflake, and learn how to optimize them using Python, PySpark, and MLflow.

Self Paced
Self-Paced
MLOps Tools: MLflow and Hugging Face (edX) EdX
AI (Pragmatic AI Labs)

MLOps Tools: MLflow and Hugging Face (edX)

Embark on an in-depth exploration of MLOps with our course dedicated to MLflow and Hugging Face. This course is designed for data scientists and engineers looking to efficiently manage their machine learning projects from development to deployment. Discover how to leverage these powerful tools to automate the ML lifecycle, optimize model performance, and ensure seamless integration into production environments.

Self Paced
Self-Paced
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