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Builders / Agency · $397

Voice AI Agents.

Build production voice agents with Vapi, Retell, and Bland. Outbound dialers, inbound screening, AI receptionists, and the cost/latency tradeoffs that decide which platform wins.

Intermediate2.7 hr hands-on14 lessons2 free lessons7-day money-back

What you will learn

Ship voice agents on Vapi, Retell, or Bland

Inbound screening + outbound dialer patterns

Cost and latency optimization

Compliance and call recording

Fast answer

A voice AI agents course should teach you to ship production phone agents on Vapi, Retell, and Bland, covering the voice stack, inbound screening, outbound dialers, cost and latency tradeoffs, and compliance. Voice is a real-time system, not a chat window, so the skill is designing calls that stay fast, sound natural, and hand off cleanly when they hit their limits. The path starts by understanding the voice stack, learning how speech-to-text, the model, text-to-speech, and telephony fit together and where latency accumulates. You then compare Vapi, Retell, and Bland on control, integrations, telephony, and pricing so you match the platform to the job. Next you build inbound patterns such as an AI receptionist that screens, routes, books, and takes messages before escalating to a person. You add outbound dialer patterns for reminders, qualification, and follow-up with clear opt-out and handoff rules. Finally you tune cost and latency and enforce compliance and call recording before going live with a 24/7 agent.

Your instructor
Deep
Deep
ML Architect & Full Stack Engineer

Machine Learning Architect and Full Stack Engineer building practical AI agent workflows for business teams. 10+ years shipping production ML across TensorFlow, PyTorch, AWS, and GCP. Active open-source AI contributor - and the person who ships every A8gent agent before it becomes a lesson.

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Why this course matters

A voice AI agents course has to treat the phone as a real-time system, because voice agents fail on latency, awkward turn-taking, and missed handoffs long before they fail on the model. Platforms like Vapi, Retell, and Bland now bundle speech-to-text, the language model, text-to-speech, and telephony under one abstraction, so the hard part is no longer wiring the stack but designing calls that stay fast and sound human. Businesses are putting agents on inbound reception, appointment booking, lead qualification, and outbound reminders, which means the skill has direct revenue and cost impact. The people who win are those who can hold a call under a natural response delay, handle interruptions gracefully, hand off cleanly when the agent hits its limits, and wire the recording and disclosure rules that let a phone agent run unattended. Learning this well is the difference between a voice demo that impresses in a meeting and a phone agent a business will trust with real callers.

How the course works

01
Understand the voice stack
Learn how speech-to-text, the model, text-to-speech, and telephony connect, and where latency and interruption handling break a call. Trace a single turn from the caller speaking to the agent replying and find where each hundred milliseconds is spent. Understanding this pipeline is what lets you debug a call that feels slow or robotic instead of guessing at the prompt.
02
Compare Vapi, Retell, and Bland
Match the platform to the job based on control, integrations, telephony coverage, voice quality, and per-minute cost. Vapi gives the cleanest API and most control, Retell suits conversational logic like booking and qualification without heavy code, and Bland is built for launching large volumes of outbound calls quickly. Build the same simple agent on more than one to feel the tradeoffs before committing a client to a platform.
03
Design the conversation flow
Script a clear greeting, capture the caller name and intent, handle the primary use case, and define a clean exit for edge cases. Write the flow as branches, not one long prompt, so the agent knows what to do when the caller goes off script. Plan the failure paths first, because a call that cannot recover gracefully is worse than no agent at all.
04
Handle interruptions and turn-taking
Tune how the agent detects when a caller starts speaking and stops talking to listen, since talking over people is the fastest way to sound broken. Set barge-in behavior, silence timeouts, and filler handling so pauses feel natural. Test with callers who interrupt, hesitate, and change their mind mid-sentence.
05
Build inbound patterns
Ship an AI receptionist that screens, routes, books, and takes messages, then escalates cleanly when a human is needed. Connect it to a calendar so it can check availability and confirm appointments rather than just promising a callback. Inbound is usually the safest first agent because the caller chose to call and the stakes per call are contained.
06
Connect calendars, CRM, and backend actions
Wire the agent to real systems so it can look up a caller, book a slot, create a ticket, or update a record during the call. Use scoped access and validate every action so a misheard name or number does not corrupt data. The value of a voice agent comes from doing the task on the call, not just talking about it.
07
Build outbound dialers
Design reminder, qualification, and follow-up dialers with clear opt-out, retry, and handoff rules. Bland and similar tools make high-volume outbound easy, which makes disclosure and consent rules more important, not less. Cap retries, respect calling hours, and give every recipient an obvious way to stop.
08
Tune cost, latency, and voice quality
Cut response latency by choosing faster models and voices, trimming prompts, and streaming responses, since per-minute cost and lag both come from the same pipeline. Pick a voice that fits the brand and test it on real phone audio, not just clean playback. Measure end-to-end latency on live calls rather than trusting a demo on a good connection.
09
Enforce compliance and recording
Add call recording, consent disclosure, and data handling rules that match where your callers are, before any unattended launch. Decide what the agent may say about being an AI and how it captures consent at the start of a call. Getting this wrong can be more expensive than any technical failure.
10
Test, monitor, and improve after launch
Review call transcripts and recordings to find where the agent stalls, mishears, or fails to hand off, and fix the worst cases first. Track containment, handoff rate, booking rate, and average latency so you know if changes help. Treat the first weeks live as tuning, and always keep the path to a real person working.

Who this course is for

Builders, agency owners, vertical operators. If that is you, this course turns the topic into something you can actually ship and run, not just watch.

Mistakes this course helps you avoid

  • Optimizing the prompt while ignoring end-to-end latency.
  • Letting the agent talk over callers instead of handling interruptions.
  • Running outbound dialers without opt-out and disclosure rules.
  • Skipping call recording and consent requirements.
  • Never testing the escalation path to a live person.
  • Judging a voice on clean playback instead of real phone audio.

Course FAQ

Which platform should I start with?

Pick based on the job. Vapi and Retell give more control and integrations for booking and qualification, while Bland is a fast path for high-volume outbound call flows. Start with one, prove a single workflow, and only add a second platform when a job genuinely needs it.

Do I need to code to build voice AI agents?

Not for most flows. Retell and similar tools let you build sophisticated conversation logic with little code, while Vapi rewards some API comfort for deeper control. The course covers both no-code and API paths so you can go as deep as the job requires.

What is the safest first voice agent?

An inbound receptionist that screens and routes calls, books simple appointments, and hands off to a person is lower-risk than autonomous outbound dialing. The caller initiated contact, the stakes per call are limited, and a clean handoff covers anything the agent cannot handle.

How much do voice agents cost to run?

Cost is largely per minute of call time across the speech, model, and telephony layers, so it scales with call volume and length. The course teaches you to estimate and reduce per-minute cost through model choice, prompt size, and streaming, and to price client work with those numbers in mind.

Who is this course for?

It is for builders, agency owners, and vertical operators who want to ship real phone agents rather than experiment with voice demos. It suits people serving verticals like clinics, home services, and sales teams where inbound and outbound calls are a real cost.

How is this different from a chatbot course?

Voice is a real-time system with latency, interruptions, telephony, and consent rules that text chat never has to face. This course centers on those constraints and on Vapi, Retell, and Bland specifically, rather than general prompt design.

What will I be able to build by the end?

You will be able to ship an inbound receptionist that books and routes, an outbound dialer with proper opt-out, and the integrations that let both act on real systems. You will also know how to test, monitor, and tune a phone agent after it goes live.

Can I sell voice agents to clients after this?

Yes, and the course covers scoping, platform choice, and the compliance and handoff rules that make a client deployment safe. You will be able to price by call volume and deliver an agent that a business can rely on around the clock.

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