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...
Welcome to this lesson on leveraging Amazon Polly, a cloud-based text-to-speech service, to create more accessible, engaging, and natural-sounding speech experiences for your applications, websites...
Welcome to QA’s lesson where you’ll learn how to deploy and optimize your deep learning workloads on AWS using deep learning AMIs, Containers, Neuron SDK, and Neuron tools. By the end of this less...
Integrate Google Analytics into your Jekyll Chirpy site to gain insights into your website’s traffic and user behavior. This documentation will walk you through the process of setting up Google Ana...
This documentation will show you how to implement Low-Quality Image Placeholders (LQIP) in your Jekyll site, enhancing user experience by displaying a low-resolution version of an image while the f...