Products
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Machine Learning in Production
Course • 164 lessonsComprehensive guide to end-to-end ML processes
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Infrastructure
Course • 26 lessonsLearn to build and manage ML infrastructure with Docker, Kubernetes, and CI/CD. Ideal for ML engineers and data scientists looking to streamline workflows and optimize costs. Includes practical exercises and examples.
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Data
Course • 25 lessonsMaster data storage, processing, versioning, and labeling for ML projects. Ideal for ML engineers and data scientists aiming to optimize data management. Includes practical exercises and real-world examples.
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Experiments
Course • 25 lessonsLearn to manage and run ML experiments efficiently, including testing and CI/CD integration. Ideal for ML engineers and data scientists aiming to optimize experimentation workflows. Includes practical exercises and real-world examples.
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Pipelines
Course • 25 lessonsMaster the orchestration of ML pipelines with Kubeflow, AirFlow, and Dagster. Ideal for ML engineers and data scientists aiming to streamline project workflows. Includes practical exercises and real-world examples.
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Serving Basics
Course • 26 lessonsLearn the fundamentals of serving ML models, including types, patterns, and serving LLMs. Ideal for ML engineers and data scientists aiming to deploy models efficiently. Includes practical exercises and real-world examples.