Part of the Databases for AI series, this course covers implementing guardrail patterns for AI agents that interact with production databases on AWS. Learn how to enforce least-privilege database access for agents, prevent data leakage, implement query boundaries, and monitor agent-database interactions to maintain security and compliance.

Learn how to build intelligent AI applications using Amazon DocumentDB's native vector search, flexible document model, and Model Context Protocol (MCP) integration. Covers storing and indexing embeddings, running similarity searches alongside document queries, and using MCP to give AI models direct, controlled access to DocumentDB data.

Part of the Databases for AI series, this course demonstrates how to implement Retrieval-Augmented Generation (RAG) architectures using Amazon DocumentDB as a unified data and vector store, eliminating the need for a separate vector database. Covers embedding storage patterns, vector index configuration, and optimized query strategies for RAG workflows on DocumentDB.

Covers database-level defenses against prompt injection attacks targeting AI agents with data access permissions. Learn how to implement parameterized queries, enforce role-based access controls, validate and sanitize agent-generated queries, and configure audit logging to detect and prevent malicious prompt-driven database manipulation.

Strategic guidance for leaders managing complex, large-scale cloud migration programs. Covers migration acceleration techniques, factory-model approaches, governance frameworks, change management, and how AWS Migration Hub and partner programs can compress timelines while maintaining control over risk and quality.

A leadership framework for driving cloud-native application modernization at scale. Covers modernization strategy selection (replatforming, refactoring, and re-architecting), investment prioritization, managing dependencies on legacy systems, and building the engineering culture and practices needed to operate effectively in cloud-native environments.

Introduces Amazon CloudWatch Real User Monitoring (RUM), which captures performance and behavior data from real user browser sessions. Learn how to instrument web applications for RUM collection, interpret performance metrics, identify user experience degradations, and use RUM data to prioritize frontend performance improvements.

Covers Amazon CloudWatch Synthetics, which runs automated canary scripts to continuously monitor application endpoints and APIs. Learn how to create, configure, and manage canary tests, interpret monitoring results, set up CloudWatch alarms for proactive alerting, and use Synthetics to catch issues before they impact real users.

Hands-on lab using the Kiro CLI to perform an AI-assisted security posture assessment and drive remediation across AWS environments. Work through real-world security scenarios — using Kiro's AI analysis to identify misconfigurations, prioritize vulnerabilities, and step through remediation actions across key AWS services.

Provides leaders with a framework for achieving regulatory and software compliance through engineering excellence. Covers how to embed compliance requirements early in the software development lifecycle, use AI-powered tools to automate compliance validation, and build organizational practices that treat compliance as an ongoing engineering discipline.

Introduces AWS Interconnect, covering last-mile connectivity options for connecting on-premises infrastructure to AWS. Learn about the connectivity models available, how to select and configure the right last-mile solution for your use case, and best practices for building reliable, high-performance hybrid network architectures.

Introduces the AWS Resilience Migration Advisor Tool, which helps organizations assess the resilience posture of workloads before and during migration to AWS. Learn how to use the tool to identify resilience gaps, evaluate migration risks, and generate prioritized recommendations for improving workload availability and recoverability.

Introduces Amazon S3 Files, which provides a native POSIX-style file system interface to S3 data. Learn how to configure file system access to S3, migrate workloads that rely on file system semantics, and take advantage of S3's durability and scale without modifying applications to use the S3 API directly.

Updated AWS Cloud Quest experience for Cloud Practitioner certification holders looking to refresh and validate their foundational AWS knowledge. Work through updated real-world cloud scenarios, complete practical challenges across core AWS services, and ensure your skills reflect the latest AWS best practices and service capabilities.

Introduces Amazon Connect Decisions, a feature that enables contact centers to build AI-powered, branching decision workflows that guide agents and customers through complex interactions. Learn how to design decision trees, configure automated routing logic, and use Decisions to improve first-contact resolution and customer experience consistency.