Building Multi-Agentic AI Workflows on AWS Bedrock

Harness LLMs, Orchestrate Multi-Agent Workflows, and Build Your Own Production Ready Travel Agent Powered By AI

Description

Do you want to harness the power of multi-agentic workflows to create cutting-edge AI applications—and deploy them at scale? This course is your gateway to building a fully operational, production-ready travel planner on AWS Bedrock, where multiple agents collaborate to deliver personalized, real-time recommendations. You’ll see how Supervisor Agents coordinate the flow of tasks, while Collaborator and Helper Agents do the heavy lifting—making database lookups, handling API calls, and processing travel preferences on your behalf. By structuring your AI in this agent-centric way, you’ll develop a scalable, modular system that adapts smoothly to complex, real-world scenarios.

We begin with the fundamentals of multi-agentic design—when to break tasks into specialized agents, how to handle inter-agent communication, and ensuring seamless collaboration for lightning-fast responses. Next, we’ll dive into AWS Bedrock’s Large Language Models (LLMs), showcasing how to customize prompt templates, override default parameters, and optimize your AI’s output for user queries. You’ll learn how to store key travel data in Amazon S3 and build a serverless application layer using AWS Lambda functions—Action Groups—to keep your AI workflow lightweight and cost-effective. Finally, we’ll demonstrate how to go production-ready by deploying via AWS API Gateway, providing a robust interface that can serve live requests from anywhere in the world with built-in scalability and security.

By the end of this course, you’ll have a production-grade, multi-agentic application capable of automatically looking up database records, making API requests, and delivering dynamic travel recommendations. Whether you’re an aspiring AI developer or a seasoned engineer, you’ll gain the hands-on skills to orchestrate Supervisor, Collaborator, and Helper Agents for real-world, enterprise-scale solutions. Join us and start building the next generation of AI with AWS Bedrock—all in a fully production-ready environment!

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