Generative AI is transforming how we build applications, but moving from experimentation to production requires understanding the right architecture patterns, tools, and best practices. In this session, you'll learn how to build production-ready AI agents using AWS services, with hands-on insights from real-world implementations.

We'll explore:

- Agentic AI fundamentals: Understanding how AI agents differ from traditional chatbots and when to use them
- Bedrock ecosystem: Leveraging foundation models, knowledge bases, and agent orchestration
- Multi-agent architectures: Building systems where specialized agents collaborate to solve complex problems
- Production patterns: Implementing guardrails, monitoring, cost optimization, and security best practices
- Real-world use cases: From customer support automation to data analysis agents

We'll see live demonstrations of building an AI agent that can interact with external APIs, access knowledge bases, and make decisions autonomously. We'll also cover common pitfalls and how to avoid them when deploying AI workloads at scale.