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Creating AI Agents on AWS

Sowjanya Pandruju, Cloud Application Architect at AWS, teaches you how to develop and deploy AI agents using AWS.
Sowjanya Pandruju
Sowjanya Pandruju

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As AI agents move from experiments to production, engineering teams are looking for cloud-native tools that can support real-world deployment at scale. AWS offers a flexible and powerful ecosystem for building, orchestrating, and scaling AI agents—if you know where to start.

In this code-along, Sowjanya Pandruju, Cloud Application Architect at AWS, teaches you how to develop and deploy AI agents using AWS. You’ll explore the core architecture of modern agents, walk through essential AWS services, and learn how to take your project from prototype to production. This session is ideal for AI engineers looking to operationalize their agent workflows.

Key Takeaways:

  • Learn which AWS services support agent development, orchestration, and scaling.
  • Understand the architecture of production-ready AI agents.
  • Discover how to productize and scale agents using cloud infrastructure.

Session Resources (Including GitHub Repo)

Subiecte

AI AgentsArtificial IntelligenceAWS

Conexe

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