Uploaded June 2026 | Updated September 2026, 2 weeks ago
🎙️ Join host Tamara Gagliardi as she explores designing agentic AI solutions with Amazon Bedrock Agent Core alongside guest Xi Palazzolo, Senior Deep Learning Architect.
Discover how to translate business use cases into production-ready AI architectures, navigate critical tooling decisions, and solve real-world challenges like voice agent latency — all grounded in a hands-on voice project they recently delivered together.
📚 What You'll Learn:
🔹 Translating Business Problems to AI Solutions: How to assess existing workflows, identify bottlenecks, and determine where AI delivers the highest impact.
🔹 Amazon Bedrock Agent Core Fundamentals: A component-level walkthrough of the orchestration layer, tools, memory, and guardrails that power agentic systems.
🔹 Solving Voice Agent Silence: Techniques for handling tool execution latency in voice experiences — static fillers vs. generated fillers, with tradeoffs and best practices for seamless user experiences.
🔹 MCP Servers vs. Lambda Functions: A decision framework for choosing the right tool integration pattern.
🔹 Demo: End-to-End Voice Agent: Architecture walkthrough and demo of an AI-powered doctor appointment scheduling agent built on Bedrock Agent Core.
🔹 Staying Current with AI/ML: Xi's personal system for keeping up with fast-moving technology using automated daily briefings.
🎯 Who Should Attend:
👩‍💻 Engineering leaders and software developers looking to amplify their impact
🔍 Tech professionals curious about AI development methodology
🚀 Anyone ready to reimagine how to build agentic AI solutions
🎙️ Join host Tamara Gagliardi as she explores designing agentic AI solutions with Amazon Bedrock Agent Core alongside guest Xi Palazzolo, Senior Deep Learning Architect.
Discover how to translate business use cases into production-ready AI architectures, navigate critical tooling decisions, and solve real-world challenges like voice agent latency — all grounded in a hands-on voice project they recently delivered together.
📚 What You'll Learn:
🔹 Translating Business Problems to AI Solutions: How to assess existing workflows, identify bottlenecks, and determine where AI delivers the highest impact.
🔹 Amazon Bedrock Agent Core Fundamentals: A component-level walkthrough of the orchestration layer, tools, memory, and guardrails that power agentic systems.
🔹 Solving Voice Agent Silence: Techniques for handling tool execution latency in voice experiences — static fillers vs. generated fillers, with tradeoffs and best practices for seamless user experiences.
🔹 MCP Servers vs. Lambda Functions: A decision framework for choosing the right tool integration pattern.
🔹 Demo: End-to-End Voice Agent: Architecture walkthrough and demo of an AI-powered doctor appointment scheduling agent built on Bedrock Agent Core.
🔹 Staying Current with AI/ML: Xi's personal system for keeping up with fast-moving technology using automated daily briefings.
🎯 Who Should Attend:
👩‍💻 Engineering leaders and software developers looking to amplify their impact
🔍 Tech professionals curious about AI development methodology
🚀 Anyone ready to reimagine how to build agentic AI solutions










