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Voice Agents in Production: Whisper + Claude + ElevenLabs
Intensive technical training for developers who want to master the complete stack of a production voice agent: Whisper for speech recognition, Claude for conversational orchestration, and ElevenLabs for natural voice synthesis. From streaming architecture to robust error handling, you'll deploy a voice agent with <2s latency and production quality. Based on Talki's real architecture (12,000+ voice interactions/month).
Duration
3 days
Level
Advanced
Price
9.99 EUR/month (all courses included)
Max group
12 participants
What you will learn
+Design complete voice pipeline architecture (STT → LLM → TTS)
+Implement Whisper (API and local) with multi-language support
+Orchestrate natural conversations with Claude streaming
+Integrate ElevenLabs TTS with audio streaming for <500ms latency
+Optimize end-to-end latency to achieve <2s (P95)
+Handle errors, fallbacks, and production resilience
+Calculate and optimize costs (API vs self-hosted)
+Deploy with monitoring, alerts, and dashboards
Course program
Module 1: Voice Pipeline Architecture and Technical Choices
3h- The three components of a voice pipeline (STT, LLM, TTS)
- Streaming vs Batch: impact on perceived latency
- Whisper: Cloud API vs local deployment (ROI calculation)
- Reference architecture: Talki Voice Agent
Module 2: STT Pipeline Implementation with Whisper
3h- Whisper API: configuration, multi-language, auto-detection
- Local Whisper: faster-whisper, quantization, GPU optimization
- Audio formats: WAV, WebM, MP3 - conversion and validation
- Workshop: complete STT with API → local fallback
Module 3: Conversational Orchestration with Claude
3h30- Prompt engineering for natural voice conversations
- Claude streaming: Server-Sent Events (SSE) and WebSockets
- Conversational context management with DynamoDB
- Workshop: voice chatbot with persistent history
Module 4: Voice Synthesis with ElevenLabs
3h- ElevenLabs API: voices, stability, similarity boost
- TTS streaming: WebSocket audio chunks and AudioContext
- Alternatives: Google Cloud TTS, AWS Polly, Azure Speech
- Workshop: streaming TTS with client-side audio queue
Module 5: End-to-End Latency Optimization
3h- Latency measurement: P50, P95, P99 per component
- Optimization techniques: caching, pre-warming, concurrency
- Profiling and bottlenecks: identify performance issues
- Workshop: reduce latency from 3s to <2s on a real pipeline
Module 6: Error Handling and Robust Fallbacks
2h30- Resilience patterns: retry, circuit breaker, timeout
- Intelligent fallbacks: API → local, TTS → cache
- Structured logging and alerts (CloudWatch, Datadog)
- Workshop: implement a complete fallback system
Module 7: Cost Analysis and Optimization Strategies
2h- Cost per interaction calculation (Whisper + Claude + ElevenLabs)
- Optimization: caching, quantization, rate limiting
- Real case: Talki savings (EUR 1,200/month → EUR 340/month)
- Workshop: simulate costs for your use case
Module 8: Testing and Production Deployment
3h- Load testing: simulate 100+ concurrent users
- AWS Lambda deployment with serverless.yml
- Monitoring: Grafana dashboards, latency and cost metrics
- Final project: deploy your complete voice agent
Ready to get started?
9.99 EUR/month — All courses included, cancel anytime