New course: Add voice to your AI agents and applications, built with @VocalBridge (disclosure: an AI Fund portfolio company) and taught by its CEO @_ashwyn.
Voice applications historically required making a hard tradeoff: using fast voice-to-voice models that sacrifice reliability, or accurate speech-to-text pipelines that add latency. This course teaches you how to build voice agents that are both reliable and fast.
You'll build three types of voice-enabled applications: a voice-interactive game where voice commands and mouse clicks work together over a single channel, an agent that gains a voice in about 10 lines of code without touching its prompts or tools, and an agent that places outbound phone calls using a makephonecall function.
Skills you'll gain:
- Add a voice layer to an existing agent without rewriting your prompts, RAG pipeline, or tools
- Give an agent the ability to place outbound calls and stream transcripts back live
- Set up voice evaluation to score calls, catch regressions, and improve quality before deployment
Join and add voice to your agents without overhauling your architecture:
deeplearning.ai/courses/voic…
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