Proof Download

 

Here’s What You Get:

 

Dr. Sreedath Panat – Build Voice Agents From Scratch is an 8-week live, engineering-focused bootcamp taught by Dr. Sreedath Panat (MIT PhD and co-founder of Vizuara AI Labs). The course teaches participants how to build production-grade, real-time AI voice agents from first principles instead of relying on no-code wrappers or simple API integrations.

Who It’s For

• AI engineers and software developers
• Machine learning practitioners
• Backend and full-stack developers
• AI startup founders
• Researchers interested in conversational AI
• Developers looking to build voice-enabled AI applications

What You’ll Learn

• Voice agent architecture from the ground up
• Speech-to-Text (ASR) pipelines
• Text-to-Speech (TTS) systems
• LLM orchestration for spoken conversations
• Tool calling and function execution
• Memory management for conversational agents
• Low-latency streaming architectures
• Deploying production-ready voice agents
• Performance optimization and monitoring

Topics Typically Covered

• Voice AI fundamentals
• Whisper and Faster-Whisper for ASR
• Piper and Coqui TTS
• Large Language Models as reasoning engines
• WebSockets and real-time streaming
• Voice Activity Detection (VAD)
• Barge-in and interruption handling
• Context and memory management
• Agent workflows
• Function/tool calling
• Production architecture
• Latency optimization
• Logging and observability
• Deployment strategies

Hands-On Projects

Students typically build several end-to-end applications, such as:

• AI receptionist
• Meeting assistant
• Research assistant
• Customer support voice agent
• Custom production-ready voice assistant

These projects are designed to expose learners to real-world engineering challenges beyond simply connecting APIs.

Technologies Used

The bootcamp commonly incorporates:

• Python
• Whisper / Faster-Whisper
• Piper
• Coqui TTS
• OpenAI-compatible LLMs
• WebSockets
• Function calling
• Streaming APIs
• Modern voice AI infrastructure

Course Format

• 8 weeks of live instruction
• Weekly sessions (approximately 2–3 hours)
• Lifetime access to session recordings
• Practical coding demonstrations
• Capstone project
• Q&A and implementation guidance

Pros

• Strong emphasis on production engineering rather than demos.
• Covers the complete voice AI pipeline from ASR through deployment.
• Includes modern techniques for streaming, memory, and tool use.
• Project-based learning with deployable applications.
• Taught by an instructor with extensive AI research and engineering experience.

Cons

• Assumes familiarity with Python and software development.
• Less suitable for complete beginners with no programming background.
• Voice AI frameworks evolve rapidly, so some implementation details may change over time.
• Requires access to AI APIs or local compute for some exercises.

Expected Outcomes

After completing the bootcamp, students should be able to:

• Build real-time conversational voice agents from scratch.
• Integrate speech recognition, LLM reasoning, and speech synthesis into a unified system.
• Develop agents capable of using tools, maintaining conversational memory, and handling interruptions.
• Optimize latency and deploy scalable voice AI applications.
• Build portfolio-quality projects suitable for startups or enterprise use.

Overall

Build Voice Agents From Scratch is an advanced, engineering-oriented bootcamp aimed at developers who want to master the architecture behind modern AI voice assistants. Rather than focusing on drag-and-drop tools, it teaches how to design and implement scalable, low-latency voice agents using technologies such as Whisper, TTS engines, LLMs, streaming pipelines, and production deployment practices. It is particularly well suited for engineers interested in conversational AI, AI infrastructure, and next-generation voice applications.

See More: Jack Austin – Authentic Navigators

Sale Page: (More infomation)