AgentCore Browser: Secure and Scalable Web Automation with Amazon Bedrock
This course introduces Amazon Bedrock AgentCore Browser, which enables AI agents to safely interact with websites using managed, isolated browser sessions. You will learn how to launch browser sessions, reuse authentication with persistent profiles, configure enterprise proxy networking, and install controlled browser extensions — including design patterns for building secure, scalable browser automation workflows.
AI Driven Development Lifecycle Knowledge Badge Assessment
This assessment validates your comprehension of the AI Driven Development Lifecycle Knowledge Badge Readiness Path. Take all of the courses and then verify your knowledge. You can earn the AI Driven Development Lifecycle Knowledge Badge with a score of 80% or better. Badges are issued by Credly within 5-7 business days.
AWS SimuLearn: AI-Powered Chat and Insights with Amazon Quick
In this AWS SimuLearn assignment, you review a real-world scenario helping a fictional customer design an AI-powered solution that puts existing documentation to work, so employees can get fast, accurate answers any time of day. You'll build the proposed solution through structured, step-by-step guidance in a live AWS Management Console environment, gaining hands-on experience with Amazon Quick.
AWS Transform Fundamentals Knowledge Badge Assessment
This assessment validates your knowledge of the topics covered in the AWS Transform Fundamentals Knowledge Badge Readiness Path learning plan. After passing this assessment, you'll be granted the AWS Transform Fundamentals accreditation. You require a score of 80 percent or greater to pass with unlimited attempts.
Introduction to Amazon Connect Health
This course introduces Amazon Connect Health, an AI-powered service that helps clinicians and healthcare teams streamline administrative workflows in outpatient clinical settings. Learn how Amazon Connect Health point-of-care capabilities — including ambient documentation, patient insights, and medical coding — work alongside clinicians to reduce documentation burden and support medical coding workflows.
AI-DLC Foundations: Construction Deep Dive
Take a deep dive into the Construction Phase — where validated Units of Work are transformed into tested, operations-ready software. Explore how AI and cross-functional teams collaborate through five structured stages, from modeling business logic to generating production-ready code and validating the complete system. The Construction Phase is AI-driven and human-validated, operating in rapid adaptive cycles called Bolts that replace traditional sprints.
AI-DLC Foundations: Inception Deep Dive
This course takes a deep dive into the Inception Phase — the foundation that transforms a business idea into clearly defined, independently buildable units of work. Learn how AI and cross-functional teams collaborate through Mob Elaboration to compress days of traditional requirements gathering into hours, achieving better alignment and setting the stage for parallel execution across teams.
AI-DLC Foundations: Operations Deep Dive
Take a deep dive into the Operations Phase — where AI-DLC extends beyond development into deployment, monitoring, and incident response. See how the same AI-DLC principles that transformed development now bring consistency, speed, and human oversight to operations.
Building Safe Generative AI Applications with Amazon Bedrock Guardrails
This 60-minute intermediate course teaches you how to configure and deploy Amazon Bedrock Guardrails to build safe, production-ready generative AI applications. Learn how to select the right guardrail policies — from content filtering and prompt attack prevention to sensitive information protection — and tune content filter strengths through iterative testing to balance safety with user experience.
Generate Structured Output from LLMs with Dottxt Outlines in AWS
Learn how to generate reliable, schema-compliant structured outputs from large language models (LLMs) using the Dottxt Outlines framework on AWS. This course covers the fundamentals of structured output, constraint mechanisms, generation-time validation, deployment on Amazon SageMaker, and alternative approaches using Amazon Bedrock and open-source frameworks.
Build and Train AI Models Responsibly Using Amazon SageMaker AI
This course explores how to build, train, and deploy machine learning models responsibly using Amazon SageMaker AI. Learn how to identify and mitigate bias, improve data quality, apply model explainability techniques, and monitor models for drift and fairness over time. The course also covers governance and best practices to help you develop transparent, accountable, and production-ready ML systems aligned with responsible AI principles.
Building Intelligent Photo Search with AWS AI Services
Learn how to build a comprehensive intelligent photo search system using Amazon Rekognition, Amazon Neptune, and Amazon Bedrock.
Lab - Create an HR Agent with Amazon Quick
This lab provides experience working with Amazon Quick to create spaces and custom chat agents. Learn to create Amazon Quick spaces and upload documents, test document retrieval with sample chat prompts, create custom chat agents using Quick Agent Builder, configure agent persona and communication style, share custom chat agents with other Quick users, and refine agent configuration based on test results.
Contact Center
1 course
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Introduction to Amazon Connect Conversational Analytics for Email
Amazon Connect now extends its conversational analytics capabilities to email contacts, giving contact center teams powerful tools to automatically categorize emails, protect sensitive customer information through redaction, and generate AI-powered contact summaries.
Database
1 course
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AWS Database Migration Service Best Practices - Planning
This training covers best practices for planning database migrations using AWS Database Migration Service (DMS). It provides practical guidance on requirements review, test migration strategies, and migration planning for large-scale database migrations.
Migration and Transfer
2 courses
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From Punch Card to Cloud: A Brief History of Mainframe Modernization
From punch cards to the cloud: join us for an epic time-traveling journey through the fascinating world of mainframe modernization. From room-sized computers of the 1960s to today's powerful cloud platforms, we'll explore how mainframe modernization technology has continuously evolved to meet modern demands. In this fast-paced session, we'll unpack 70+ years of innovation, celebrating the remarkable transition from early COBOL applications to modern digital enterprises.
Enterprise Migration Strategy: Successfully Moving Workloads to AWS
Master the essentials of large-scale migrations to AWS through this comprehensive two-module course. Learn how to develop and implement effective migration strategies using AWS frameworks, the 7 Rs, and migration factory methodologies. Explore organizational preparation, platform readiness, workstreams, runbooks, automation tools, wave planning, health-check evaluations, and continuous improvement practices for enterprise environments. This course is perfect for cloud architects, migration specialists, and IT leaders who want to execute large migrations (300+ servers) while addressing people, process, and technology challenges.
Network and Content Delivery
1 course
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AWS Application Networking Demonstrated
AWS Application Networking Demonstrated is a hands-on exam lab designed to help you validate your AWS skills in the Application Networking domain. In this timed assessment, you work in a live AWS environment to diagnose issues, implement solutions, and address real business scenarios by using AWS services. You'll configure Amazon VPC Lattice, fix Application Load Balancer issues, fix Elastic Container Service scaling, fix Amazon API Gateway integration, configure security groups, create Amazon CloudWatch alarms, and configure Amazon CloudFront.
Security, Identity, and Compliance
2 courses
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AWS CloudTrail Deep Dive and Security Analysis with MCP Server Tools
This course provides an in-depth exploration of AWS CloudTrail for security operations, incident response, and threat detection. Learn CloudTrail fundamentals, map common cloud attack patterns to the MITRE ATT&CK framework and understand how adversaries operate in AWS environments through specific CloudTrail event sequences. The course demonstrates both traditional manual investigation techniques using CloudTrail Lake SQL queries and modern AI-powered approaches using Model Context Protocol (MCP) server tools. Through hands-on demonstrations with real-world use cases including compromised IAM credentials and S3 ransomware attacks, you'll learn to conduct efficient security investigations.
AWS Incident Response Demonstrated
AWS Incident Response Demonstrated is a hands-on exam lab designed to help you validate your AWS skills in the Incident Response domain. In this timed assessment, you work in a live AWS environment to diagnose issues, implement solutions, and address real business scenarios. You'll implement audit and compliance controls, contain data exfiltration, establish database security, identify and remediate compromised resources, eradicate backdoor access, and recover with network hardening.
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