Free Online Courses & MOOCs by Alfredo Deza (Instructor)

MLOps Tools: MLflow and Hugging Face (edX)

EdX

AI (Pragmatic AI Labs)

MLOps Tools: MLflow and Hugging Face (edX)

Computer Science

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

Machine Learning MLOps Machine Learning Operations

MLOps Platforms: Amazon SageMaker and Azure ML (edX)

EdX

AI (Pragmatic AI Labs)

MLOps Platforms: Amazon SageMaker and Azure ML (edX)

Computer Science

Elevate Your MLOps Game: Master AWS SageMaker and Azure ML for Production-Ready AI Solutions. This course is designed for data scientists, developers, and IT professionals who want to learn how to effectively deploy, monitor, and manage machine learning models in production using Amazon's SageMaker and Microsoft's Azure Machine Learning platforms.

Self Paced

Self-Paced

Exploratory Data Analysis Azure ML Amazon SageMaker

Coursera

Duke University

Data Engineering with Rust (Coursera)

Data Science

Dive into the world of data engineering with Rust in this comprehensive online course. Whether you're a seasoned data engineer or a developer looking to expand your skill set, this course will guide you through Rust's unique capabilities to efficiently manage, process, and analyze big data. Discover how Rust's safety features, memory security, and concurrency can revolutionize your approach to data engineering projects.

Jul 9th 2026

4 Weeks

Data Structures Software Testing Data Processing

Coursera

Duke University

Open Source Platforms for MLOps (Coursera)

Data Science

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 29th 2026

4 Weeks

Open Source Coursera Plus MLOps