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
4.81 (47 reviews)
323
students
3.5 hours
content
Feb 2025
last update
$44.99
regular price
What you will learn
Understand and Implement Multi-Agent Workflows
Deploy Multi-Agent Workflows with AWS- using Bedrock, Lambdas, API Gateway, S3 and many more
Leverage AWS Bedrock for LLMs
Implement Multi-Agent Collaboration
Deploy Production AI Systems – Set up a scalable AI architecture using AWS Lambda and API Gateway.
Create Action Groups in AWS Lambda – Build and manage action groups for AI decision-making in serverless environments.
Build AI-Powered Travel Agents – Design an intelligent travel assistant that can provide accommodation and restaurant recommendations.
Implement API Gateway for External Access – Expose your AI travel agent to the web using AWS API Gateway.
Optimize AI Requests with API Rate Limits – Learn how to manage API request limits and prevent excessive usage costs.
Implement Logging and Monitoring – Track AI model performance and monitor API usage with AWS CloudWatch.
Understand the Role of Supervisor Agents – Learn how supervisor agents manage and coordinate tasks efficiently.
Deploy an End-to-End AI System – Take your travel agent from concept to production in a real-world AWS environment.
Fine-Tune AWS Bedrock LLM Responses – Adjust system parameters to improve the accuracy and relevance of travel recommendations.
Design Scalable Serverless Applications – Learn best practices for scaling AI-driven serverless applications in AWS.
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6460497
udemy ID
12/02/2025
course created date
02/03/2025
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