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Learn Amazon SageMaker, earn certificates with free online courses from Duke, The Open University and other top universities around the world. Read reviews to decide if a class is right for you.
Learn to use Amazon SageMaker for ML workflows in a 30-minute AWS digital training in Spanish.
Learn to build, train, and deploy machine learning models with AWS SageMaker in Spanish (LATAM).
Learn to streamline ML pipelines with Amazon SageMaker in a 30-minute AWS digital training in French.
Learn to use Amazon SageMaker for ML pipelines in a 30-minute AWS digital training (in Portuguese with English narration).
En este proyecto vamos a utilizar un modelo disponible en Amazon SageMaker Studio para temas de visión computacional.
Master foundational machine learning skills with Kaggle's 13-week course. Learn to deploy models to production environments and solve real-world tasks. Capstone project included.
Duke University's 26-week course for programmers, data scientists, and researchers to master MLOps skills using Python, Rust, GitHub Copilot, Amazon SageMaker, Azure ML, and MLflow.
Learn to build, train, and deploy machine learning solutions using Amazon SageMaker and Azure ML in this 5-week course by Duke University. Ideal for aspiring data scientists and software engineers.
Experience AWS SageMaker: A Practical Course with Hands-On Learning, Practice Tests and Certification Preparation
Master AWS SageMaker Algorithms (Linear Learner, XGBoost, PCA, Image Classification) & Learn SageMaker Studio & AutoML
Develop highly sought-after skills to design and deploy machine learning models on the cloud with the AWS Academy
Master machine learning, AI, and object-oriented programming with Amazon Web Services. Gain hands-on experience with AWS AI Devices and Amazon SageMaker in this 8-week course.
Learn to build, train, and deploy machine learning models in AWS SageMaker, including REST APIs.
Master job-ready skills in machine learning engineering with this 21-week course. Learn to create ML workflows, train deep learning models, and operationalize ML projects using AWS SageMaker.
Training a machine learning model is only the first step. This course will teach you how to deploy, monitor, and scale your machine learning solution in preparation for the Machine Learning Specialty exam.
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