Automate Generative AI workflows using Amazon Bedrock Flows

*This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some courses have accessibility limitations and are working to address. 

• Configuring and building flows in Amazon Bedrock to automate generative AI tasks, including prompt orchestration, conditional branching, and iterative processing.
• Integrating foundation models, knowledge bases (e.g., RAG patterns), agents, and tools within Bedrock Flows for context-aware and multi-step workflows.
• Deploying and testing automated generative AI workflows, including handling inputs/outputs, error management, and iteration logic.
• Applying best practices for production-grade automation, such as reusability, monitoring, versioning, and optimization of Bedrock Flows in generative AI applications.

• Understand the core concepts and architecture of Amazon Bedrock Flows for structuring reliable, scalable generative AI automation.
• Gain practical insight into creating efficient workflows that integrate Bedrock's generative capabilities with data sources, logic branches, and external tools for real-world use cases.
• Be prepared to implement automated generative AI pipelines in projects, improving speed, consistency, and maintainability over manual or scripted approaches.

• 30-minute digital course content with explanations, demonstrations, and practical guidance developed by AWS Technical Field Communities (TFC) experts.
• Intermediate-level training in the Artificial Intelligence domain, focused on Amazon Bedrock's advanced workflow automation features.
• Coverage of key Bedrock Flows concepts, use cases, and integration patterns for generative AI orchestration.
• Certificate of completion issued.