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Курс от Coursera
courseraАнализ данных
Advanced Data Science Techniques (with AWS Integration)
Курс от CourseraО курсе
Learn advanced machine learning techniques and cloud deployment in this comprehensive course designed for data professionals. Through hands-on projects, you'll learn to build, evaluate, and deploy sophisticated machine learning models using AWS services, while leveraging AI tools to enhance your workflow. This course is perfect for data analysts and scientists ready to advance their machine learning capabilities and gain practical experience with cloud computing. Starting with advanced ML concepts and progressing through AWS integration, you'll develop the technical expertise needed to implement enterprise-level data science solutions. Upon completion, you'll be able to: • Build and evaluate sophisticated machine learning models using advanced techniques • Deploy scalable solutions using AWS SageMaker and related services • Perform advanced feature engineering with AI assistance • Implement time series analysis and unsupervised learning methods • Create end-to-end machine learning pipelines in the cloud
Навыки, которые вы освоите
Feature EngineeringAWS SageMakerModel EvaluationTime Series Analysis and ForecastingUnsupervised LearningModel OptimizationDimensionality ReductionData PreprocessingAmazon S3Cloud DeploymentApplied Machine LearningForecastingModel DeploymentArtificial Intelligence and Machine Learning (AI/ML)Machine Learning MethodsAmazon Web ServicesModel TrainingCloud Computing
Программа курса
5 модулей · 74 учебных материалов
01Foundations in AWS and Machine Learning With Generative AI25 материалов
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Professionals from the Industry
Преподаватель курса