Serverless ETL Pipeline for Weather Data
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...
Deniz Yilmaz
Deployment Orchestration With AWS Elastic Beanstalk
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...
Build Serverless Contact Forms With Generative AI
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...
Managing Database Access Permissions in AWS
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. ...
Training and Fine-Tuning Machine Learning and Foundation Models With Amazon SageMaker
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...
Configuring and Launching Hyperparameter Tuning Jobs With Amazon SageMaker AMT
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...
Monitoring Model Inference With Amazon SageMaker
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...
Optimize Machine Learning Models for Inference With SageMaker Neo
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...
Extracting Text, Handwriting, and Layout Elements Using Amazon Textract
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 ...
Monitoring and Analyzing Data Quality for XGBoost Churn Models With Amazon SageMaker Model Monitor
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...