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NYC Workshop | Building Voice AI Agents with Deepgram and AWS

NYC Workshop | Building Voice AI Agents with Deepgram and AWS

​Join Deepgram & AWS on October 10th in NYC for an exclusive lunch and hands-on workshop to learn how to run Deepgram’s speech recognition models on hosted SaaS and self-hosted on AWS. Designed for developers and data scientists interested in leveraging Deepgram's powerful ASR capabilities in a scalable cloud environment, this session will guide you through the entire deployment process.

Rafe Gándola
Amazon Employee
Published Sep 12, 2024
Participants will be provided with practical knowledge and skills, enabling you to build sophisticated voice AI agents that can understand, process, and respond to human speech. Our experts will guide you through fundamentals of AI agents, best practices from industry leaders, and real-world use cases.
​Additionally, the session will show how to set up Deepgram AWS self-hosted deploys; including the necessary AWS infrastructure, EC2 instances, storage solutions, and networking configurations, to ensure optimal performance and reliability. Optionally, participants will be able to go through a self-hosted AWS deploy (NDA required) and gain practical experience in installing and configuring Deepgram's self-hosted models, as well as optimizing them for real-time transcription needs.
​Participants are encouraged to bring their laptops to follow along with the exercises and leave with the skills needed to implement and manage a robust ASR solution on AWS. A basic understanding of coding is required, but no prior experience with voice AI is necessary.
What you will learn:
  • Demystifying AI voice agents: Explore fundamentals and real-world use cases
  • The key to responsive AI: How speech-to-text drives efficiency for conversational workflows
  • Bring your agents to life with AI voices: Best practices for incorporating low-latency text-to-speech
  • Building end-to-end voice AI workflows: Roll up your sleeves and build your own voice AI agent with cutting-edge AI
  • Refine and scale: Get proven frameworks for rapid testing, iteration, and adaptation to ensure your AI agents continually improve and deliver exceptional user experiences
  • Deepgram on AWS: How to run Deepgram's speech to text models in an AWS VPC
  • Q&A and Networking: Learn from peers and experts alike in the voice AI space
Agenda:
  • 10:00-10:30 AM: Welcome & Intro
  • 10:30-12:00 PM: Workshop
  • 12:00-1:30 PM: Hosted lunch
  • 1:30-2:00 PM: Deploying Deepgram Self-Hosted on AWS (Optional with NDA Required)
Presenters:
  • ​Mansi Vaghela – AWS Sr Solutions Architect
  • ​Gokhul Srinivasan, Sr Partner Solutions Architect
  • ​Damien Murphy, Deepgram Applied Engineer
  • ​Rafe Gandola, AWS Sr Partner Development Manager
  • ​Abe Pursell, Deepgram VP Business Development and Partnerships
     

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