Machine Learning (ML) Engineering on Amazon Web Services (AWS) is a 3-day intermediate course designed for ML professionals seeking to learn machine learning engineering on AWS. Participants learn to build, deploy, orchestrate, and operationalize ML solutions at scale through a balanced combination of theory, practical labs, and activities. Participants will gain practical experience using AWS services such as Amazon SageMaker AI and analytics tools such as Amazon EMR to develop robust, scalable, and production-ready machine learning applications.Course level: Intermediate Day 1 Module 0: Course IntroductionModule 1: Introduction to Machine Learning (ML) on AWSTopic 1A: Introduction to ML Topic 1B: Amazon SageMaker AI Topic 1C: Responsible MLModule 2: Analyzing Machine Learning (ML) ChallengesTopic 2A: Evaluating ML business challenges Topic 2B: ML training approaches Topic 2C: ML training algorithmsModule 3: Data Processing for Machine Learning (ML)Topic 3A: Data preparation and types Topic 3B: Exploratory data analysis Topic 3C: AWS storage options and choosing storageModule 4: Data Transformation and Feature EngineeringTopic 4A:
