AmazonSageMakerCourse and aws-ml-guide
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 aws-ml-guide
noahgift/aws-ml-guide
[Video]AWS Certified Machine Learning-Specialty (ML-S) Guide
This guide provides a structured learning path for individuals aiming to become certified in Machine Learning on Amazon Web Services. It takes raw knowledge and experience in machine learning and transforms it into a deep understanding of AWS-specific ML services, preparing users for the AWS Certified Machine Learning-Specialty exam. This resource is ideal for machine learning engineers, data scientists, and cloud architects looking to validate their expertise in deploying ML solutions on AWS.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work