AmazonSageMakerCourse and ml-aws-specialty-lab
About AmazonSageMakerCourse
ChandraLingam/AmazonSageMakerCourse
In this AWS Machine Learning Specialty Course, You will gain first-hand experience on how to train, optimize, deploy, and integrate ML in AWS cloud. Learn how to use AWS Built-in SageMaker algorithms and AI, How to Bring Your Own Algorithm, Zero Downtime Model Deployment Options, How to Integrate and Invoke ML from your Application, Automated Hyperparameter Tuning
This course teaches you how to build, refine, and deploy machine learning models on Amazon's cloud platform, AWS SageMaker. You'll learn to take raw data and transform it into working AI solutions ready for integration into your applications. This is designed for IT professionals, data scientists, and machine learning engineers who need to manage AI workflows in a cloud environment.
About ml-aws-specialty-lab
FabG/ml-aws-specialty-lab
Repo with resources to pass the AWS ML Specialty exam
This collection of notes, Jupyter notebooks, and white papers helps prepare you for the AWS Machine Learning Specialty certification exam. It condenses essential information from various courses and documents, providing a streamlined study path. This is for machine learning practitioners and data scientists looking to validate their ability to design, implement, deploy, and maintain ML solutions on AWS.
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