In this lesson, you will learn about the AWS Elastic Beanstalk service and how it can be used to help you deploy and scale your applications and services with ease and without you having to worry a...
Learn how to create a serverless backend with generative AI integration for contact forms using AWS Lambda. This solution: Handles form submissions from your website using AWS Lambda Creates A...
In this lesson, you will learn how to secure and manage database access using various authentication mechanisms, access control practices, encryption methods, and monitoring tools provided by AWS. ...
In this lesson, you will learn about the training stage of the machine learning lifecycle using Amazon SageMaker. Learning Objectives Understand the fundamentals of machine learning model train...
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...