AutoML and No-Code Machine Learning with SageMaker

Machine learning is transforming industries, but you do not need to be a software engineer or mathematician to leverage its power. Visual, no-code platforms now allow anyone to build sophisticated predictive models directly from raw data. This text-based course guides you through the entire automated machine learning (AutoML) pipeline using SageMaker and SageMaker Studio Canvas. You will transition from understanding core machine learning concepts to preparing datasets, training models automatically, evaluating their accuracy, and generating predictions—all through an intuitive visual interface. What you'll learn: - Understand the foundational concepts of machine learning, including regression, classification, and the AutoML lifecycle. - Prepare and clean datasets visually using drag-and-drop data preparation tools. - Train high-quality machine learning models automatically without writing code. - Evaluate model performance metrics to choose the best-performing solution for your business needs. - Deploy your trained models to generate real-world predictions. - Explore modern generative AI and foundation model capabilities within no-code environments. You will start by mastering essential machine learning terminology and workflows, ensuring a solid theoretical foundation. From there, you will progress through practical, written walkthroughs that demonstrate how to import data, run automated training trials, analyze results, and generate predictions. This course is designed for business analysts, product managers, and beginners who want to leverage machine learning without learning programming languages or complex math. No prior coding or data science experience is required. Start your journey into the world of no-code machine learning today.