Building AI Voice Agents with Deepgram + AWS Bedrock

​Deepgram’s Voice Agent API brings lightning-fast speech-to-text and lifelike text-to-speech together with event hooks and speaker diarization, all in real time. Amazon Bedrock gives you instant access to leading foundation models like Claude and Titan, with built-in safety, compliance, and flexibility, perfect for powering voice agents with real intelligence.

​Join us to learn how to build scalable, responsive AI voice agents that actually work in production.

​What You’ll Learn:

​Build & Deploy in Minutes – See how Deepgram’s streaming API and Bedrock’s managed LLMs make real-time, voice-driven agents possible without stitching together brittle services.

​Smarts + Speed in Action – Watch a live demo that showcases accurate transcription, rapid LLM responses, and the power of few-shot or RAG-based responses, all with sub-second latency.

​Enterprise-Ready Architecture – Learn how to deploy with VPC, IAM, encryption, and autoscaling, all while controlling cost and optimizing performance.

​Who Should Attend
Product managers, contact center leaders, CX and AI/ML architects looking to build production-ready AI voice agents without compromising speed, cost, or compliance.

Event Details

​📅 Date & Time: [Date and Time TBD]
📍 Location: Virtual – link provided upon registration
🎤 Speakers:
• Ayan Ray, Sr. GenAI Specialist, Amazon Web Services
• Theresa Foy, Product Manager, Deepgram