Amazon SageMaker Essentials

О курсе

The **Amazon SageMaker Essentials** course is designed to help you build a strong foundation in Amazon SageMaker and the end-to-end machine learning lifecycle on AWS. You will learn how to prepare data, build and train machine learning models, optimize performance, deploy models, and monitor machine learning workloads using Amazon SageMaker. This training course introduces Amazon SageMaker, AWS's fully managed machine learning service. You will explore key SageMaker capabilities for data preparation, feature engineering, model training, hyperparameter tuning, deployment, monitoring, and MLOps, while learning best practices for building scalable machine learning solutions. This course contains **5+ hours** of training videos with **35 lectures** covering Amazon SageMaker fundamentals and machine learning workflows. The lectures are organized into **5 modules**, with each module divided into lessons. The course also includes **Assessments** and **Graded Questions** at the end of every module to reinforce learning. Module 1: Amazon SageMaker Foundations Module 2:Machine Learning Data Preparation Module 3:Building and Training Machine Learning Models Module 4: Model Optimization and Performance Tuning Module 5: Model Deployment, Monitoring, and Lifecycle Management

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