Anthropic Models on Amazon Bedrock

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Delivery methods

On-Site, Virtual

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Duration

1 day

This course teaches developers and cloud practitioners to deploy Anthropic's Claude models using Amazon Bedrock's managed infrastructure. Participants learn to build production applications that leverage Claude's advanced reasoning capabilities and tool use for multi-step workflows—all while maintaining enterprise security, governance, and cost controls through Bedrock's fully managed service. The course covers RAG implementation with knowledge bases, prompt engineering techniques, guardrails configuration, and architectural patterns for global deployment across AWS regions.

Course Objectives

Through two hands-on labs, participants build a complete application integrating S3, OpenSearch, Lambda, and CloudWatch with Claude via Bedrock APIs. The course includes practical guidance on model selection (Opus, Sonnet, Haiku), monitoring token consumption and latency, and using Claude Code to accelerate Bedrock integration development. By course end, participants deploy a working system and understand how to design resilient, scalable AI applications using Bedrock's cross-region capabilities.

Who Should Attend

Software Developers, Solutions Architects, DevOps Engineers, Machine Learning Engineers, and Technical Managers building AI-powered applications on AWS.

Prerequisites

  • Basic familiarity with AWS console and core services (S3, Lambda, IAM)
  • Understanding of REST APIs and JSON
  • Programming experience in Python or JavaScript (recommended but not required)
  • Command line/terminal comfort for Claude Code section

Course outline

Ready to accelerate your team's innovation?