In this lesson, you will learn how to optimize machine learning models using Amazon SageMaker’s Automatic Model Tuning or AMT for hyperparameter tuning. You will work with SageMaker to automaticall...
In this lesson, you will explore how to effectively track and maintain the performance of your deployed machine learning models. You will learn about tools and techniques to ensure your models cont...
Welcome to this lesson on Amazon SageMaker Neo, a capability that optimizes machine learning models for inference on cloud and edge devices. Learning Objectives Explain key challenges in machin...
Welcome to this lesson on using Amazon Textract, a cloud-based service that automates text and data extraction from printed text, handwriting, layout elements and data from any document. Learning ...
In this lesson, you will learn how to use Amazon SageMaker Model Monitor to track and analyze the performance of a deployed machine learning model in real-time. Learning Objectives Set up a Sag...
Welcome to Using Amazon Lex to Create Conversational AI Interfaces. Learning Objectives By the end of this lesson, you will have an understanding of Amazon Lex, including: Amazon Lex’s definiti...
In this lesson, you will explore Amazon Bedrock, a fully managed service in AWS’s generative AI layer. You will learn about its core concepts, capabilities, and how to interact with it using the Be...
Welcome to this lesson on detecting abnormal operating patterns using Amazon DevOps Guru. Learning Objectives By the end of this lesson, you will have an understanding of Amazon DevOps Guru includ...
Build a serverless backend with generative AI capabilities for handling contact forms on static websites. This documentation covers the complete end-to-end solution, covering backend development wi...
This lesson looks at Amazon Rekognition, a service that uses generative AI to analyze images and videos enabling developers to add advanced visual analysis capabilities to their applications. Lear...