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AWS Skill Builder is an Amazon-hosted platform for developers to create, manage and deploy Alexa skills. It provides a range of resources and tools to help you build your skills quickly and easily.
An introductory overview of Amazon Q Developer’s features, capabilities, and benefits for enhancing software development workflows.
Learn to choose an Amazon Q Developer service tier and configure the tool for individual or enterprise use in an IDE.
Learn to sell on AWS Marketplace by publishing AMI, container, and SaaS products through hands-on seller labs.
Build a serverless study app that uses Amazon Bedrock through Lambda and API Gateway to generate flash cards from notes.
Use Boto3 functions in Jupyter Notebook to invoke Amazon Bedrock models, generate text and images with Amazon Titan, and connect Rekognition checks.
Use Amazon Q Developer in Visual Studio Code to explain, scan, fix, generate, and deploy code for a Python application.
Set up and customize a secure, compliant AWS landing zone, with solution planning and troubleshooting.
Learn AWS Storage Gateway concepts, use cases, pricing, and console-based setup for extending on-premises storage to AWS.
Learn how Amazon File Cache provides temporary, high-speed file storage closer to processing workloads through AWS Management Console demonstrations.
An introductory guide to using Amazon Polly to convert written text into natural-sounding speech, covering its benefits, pricing, architecture, use cases, and basic operation.
Assess your readiness for the AWS Certified SysOps Administrator – Associate exam through domain mapping, hands-on labs, practice questions, and a full-length scored test.
Prepare for the AWS Certified Machine Learning Engineer–Associate exam through domain reviews, official practice questions, and answer-selection strategies.
Prepare for the AWS Certified Machine Learning Engineer–Associate exam through domain reviews, hands-on labs, practice questions, and a readiness pretest.
Prepare for the AWS Certified AI Practitioner exam through exam-style questions covering AI, machine learning, generative AI, responsible AI, and security.
Assess readiness for the AWS Certified Data Engineer–Associate exam through exam-style questions, practice tests, and hands-on labs across four data engineering domains.
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