Build, train, tune, and deploy machine learning models at scale using Amazon SageMaker — AWS's fully managed ML platform.
Amazon SageMaker is the industry-leading managed machine learning service. This course covers the complete ML workflow from data preparation through model training, hyperparameter optimisation, and production deployment. You will work with SageMaker Studio, SageMaker Autopilot, SageMaker Pipelines, Feature Store, Model Monitor, and deployment options including real-time endpoints, batch transforms, and serverless inference. No deep ML background required — Python knowledge helpful.
This course is designed for IT professionals, cloud engineers, developers, and business professionals seeking to build expertise in Amazon Web Services services. Whether you are starting your cloud journey or advancing toward a professional-level certification, our structured learning path and hands-on labs will prepare you thoroughly.
Basic IT literacy and familiarity with computing concepts is recommended. Specific technical prerequisites vary by level — Foundational courses have no prior experience requirement. Associate and Professional courses benefit from prior cloud exposure.