Deploy ANY AI Agent to Production in Minutes | Amazon Bedrock AgentCore Tutorial
Oct 13, 2025•Channel
AI Analysis
Data from YouTube Data API v3•Updated Just now
Video Overview
Video Details
Published9 months ago
Duration15:56
Video IDN7FGbBq1mI4
Languageen
CategoryScience & Technology
PrivacyPublic
Made for KidsNo
Video TypeRegular Video
Performance Metrics
Views669
Likes43
Comments4
Engagement Rate7.03%
Likes per 100 views6.43
Comments per 1K views5.98
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Description
In this video, Mike shows you how to take any AI agent and deploy it securely at enterprise scale using Amazon Bedrock AgentCore. So if you're using CrewAI, LangChain, Strands, or your framework of choice, there's no infrastructure headaches - just production-grade agents that scale.
What we'll cover:
✅ Deploying to AgentCore Runtime
✅ Adding managed memory
✅ Integrating secure code execution
✅ Monitoring your agent in production
🚀 Get started with the code:
• https://builder.aws.com/content/33duot88gLusLRgJkalulTJLUrx/turn-your-ai-script-into-a-production-ready-agent
📚 More information and documentation here:
• https://aws.amazon.com/bedrock/agentcore/
• https://aws.amazon.com/bedrock/agentcore/resources
• https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/what-is-bedrock-agentcore.html
📚 Additional resources for other frameworks (CrewAI, Pydantic AI, LlamaIndex, LangGraph):
• https://dev.to/aws/building-production-ready-ai-agents-a-multi-framework-journey-with-amazon-bedrock-agentcore-p32
• https://dev.to/aws/visualizing-ai-agent-memory-building-a-web-browser-for-amazon-bedrock-agentcore-memory-3571
🧑 Contact Mike: https://linkedin.com/in/mikegchambers
#amazonbedrock #aicoding #aiagents