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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.
Aprende a crear, entrenar e implementar modelos lingüísticos avanzados en AWS utilizando Amazon SageMaker. Domina técnicas de optimización, paralelismo y personalización para IA generativa.
探索 Amazon SageMaker 在建立、訓練和部署語言模型方面的進階功能。涵蓋分散式訓練、效能最佳化、資料管理和基礎模型自訂等主題,適合有經驗的資料科學家。
Aprende a crear, entrenar e implementar modelos de aprendizaje automático con Amazon SageMaker. Explora sus componentes principales: blocs de notas, entrenamiento y alojamiento.
Découvrez comment créer, entraîner et déployer des modèles de Machine Learning avec Amazon SageMaker. Explorez les composants clés : blocs-notes, entraînement et hébergement.
Amazon SageMaker를 활용해 대규모 언어 모델을 구축, 훈련, 배포하는 고급 기술을 학습. 분산 훈련, 성능 최적화, 파운데이션 모델 활용 등 실무적인 내용 포함.
Amazon SageMaker JumpStartを使用して、生成AIの基盤モデルを迅速にデプロイ・チューニングする方法を学びます。画像生成のユースケースを通じて、実践的なデモで解説します。
En este proyecto vamos a utilizar un modelo disponible en Amazon SageMaker Studio para temas de visión computacional.
Master foundational ML skills, from supervised learning to deep learning. Deploy models to production environments and complete a capstone project in your chosen domain.
Gain essential machine learning skills, explore advanced AI areas, and get hands-on experience with AWS tools. Learn to build, evaluate, and deploy high-quality ML models using Amazon SageMaker and object-oriented programming.
Equip developers with AWS SageMaker skills to build and deploy ML models in production. Learn data science, model design, and best practices for real-world applications.
Learn what machine learning is and the steps involved in building and evaluating models. Gain in demand skills needed at businesses working to solve challenges with AI.
Comprehensive MLOps training covering Python, Rust, GitHub Copilot, cloud platforms, and LLMs. Gain skills for data science, ML engineering, cloud architecture, and AI product management.
Learn to build, train, and deploy ML solutions using Amazon SageMaker and Azure ML. Gain hands-on experience with data engineering, modeling, and MLOps on leading cloud platforms.
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
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