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Introduction to Amazon Data Firehose (formerly Kinesis Data Firehose), the managed service for streaming data delivery. Covers source and destination configuration, transformation with Lambda, format conversion, and delivery to S3, OpenSearch, and third-party targets.

Hands-on introduction to creating and managing trails in AWS CloudTrail, covering trail scope (single-Region, multi-Region, and organization), event selectors, log file integrity validation, and delivery to S3 and CloudWatch Logs.

Introduction to Amazon RDS for SQL Server, covering supported editions, licensing options, multi-AZ configurations, native backup and restore to S3, and integration with Active Directory.

Covers running large-scale batch inference jobs on Amazon Bedrock, including job submission, input and output formats in S3, cost considerations, and patterns for processing high-volume document and content workloads.

Hands-on lab using Amazon S3 Vectors as a vector store with Amazon Bedrock Knowledge Bases. Covers indexing embeddings in S3, configuring knowledge bases, and querying for retrieval-augmented generation use cases.

Architectural patterns for building cost-effective retrieval-augmented generation applications using Amazon Bedrock Knowledge Bases backed by Amazon S3 Vectors. Covers ingestion design, chunking strategies, and cost-versus-latency tradeoffs.
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