Build cloud architectures that are efficient, cost-effective, and environmentally conscious. Through 4 lessons, 1 lab, and 1 hands-on demo, this course will show you how to optimize AWS storage and...
In this lesson, you will learn about AWS Non-Relational Database services and how they can be used to store, retrieve, and manage various types of data without requiring a fixed schema. These purpo...
In this lesson you will explore relational database principles, learn about AWS relational database services like Amazon RDS and Amazon Aurora, examine their performance and scalability features, a...
This solution builds a serverless data pipeline that collects, processes, and analyzes global weather data using: OpenWeatherMap API as the data source Lambda function for data ingestion Kin...
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...