Build production voice AI and realtime multimodal agents in 2026: STT, TTS, the Realtime API, WebRTC, barge-in, telephony, evaluation, cost, and safety.
The course’s skills. The same ones appear on your Certificate of Completion, so you can show what you covered.
Foundations of Voice AI in 2026
Speech-to-Text: Modern ASR
Text-to-Speech: Neural Voices
The Realtime API and Speech-Native Models
Building a Voice Agent: Orchestration
Function Calling and Multimodal Voice
Telephony and SIP for Voice Agents
Evaluation, Testing, and Safety
About the course
A premium, advanced and complete course on building production voice AI and realtime multimodal agents, updated for 2026. You will master the modern voice stack — cascaded pipelines versus speech-native models — including speech-to-text (Whisper, Deepgram, streaming ASR), text-to-speech (ElevenLabs, Cartesia, OpenAI voices), and speech-to-speech via the OpenAI Realtime API and GPT Realtime. You will learn bidirectional streaming over WebSockets and WebRTC, latency budgeting, voice activity detection, turn detection and barge-in, orchestration with Pipecat and LiveKit Agents, function calling in voice, multimodal agents that combine audio, text and vision, realtime video, telephony and SIP integration with Twilio, rigorous evaluation and testing, deployment, scaling and cost modeling, and real-world case studies. The course carries a strong, practical focus on legal and ethical voice AI: consent to record, biometric voiceprints under GDPR, responsible voice cloning, and AI-disclosure transparency under the EU AI Act. Includes a comprehensive final assessment.
Who it is for
For developers, engineers and technical professionals who build or integrate AI solutions. It belongs to AI Engineering, on the IT Pro track.
What you need
Advanced level: assumes hands-on experience with AI in the course’s field.
Conversation Anatomy: Latency, Turn-Taking, and Endpointing51 min13 questions
Consent, Privacy, and AI Transparency: The Legal Foundation50 min13 questions
2
Module 2: Speech-to-Text: Modern ASR
3 lessons · 2 h 31 min · 37 questions
How Modern Speech Recognition Works: Whisper, Deepgram, and the ASR Landscape51 min13 questions
Streaming Transcription: Partial Results, Interim Hypotheses, and Endpointing50 min12 questions
ASR Accuracy: WER, Diarization, and Handling Real-World Audio50 min12 questions
3
Module 3: Text-to-Speech: Neural Voices
3 lessons · 2 h 30 min · 37 questions
Neural TTS in 2026: ElevenLabs, Cartesia, and Hosted Voices51 min13 questions
Streaming TTS: Latency, Chunking, and Voice Consistency50 min12 questions
Voice Cloning: Ethics, Consent, and the Law49 min12 questions
4
Module 4: The Realtime API and Speech-Native Models
3 lessons · 2 h 32 min · 36 questions
Speech-to-Speech Models: The OpenAI Realtime API and GPT Realtime51 min12 questions
Bidirectional Streaming: WebSockets, WebRTC, and Audio Framing51 min12 questions
Sessions, Events, and Managing Realtime State50 min12 questions
5
Module 5: Building a Voice Agent: Orchestration
4 lessons · 3 h 22 min · 48 questions
Orchestration Frameworks: Pipecat and LiveKit Agents51 min12 questions
Turn Detection, VAD, and Barge-In in Practice51 min12 questions
The Latency Budget: Engineering Natural Conversation50 min12 questions
Conversation Design and System Prompts for Voice Agents50 min12 questions
6
Module 6: Function Calling and Multimodal Voice
3 lessons · 2 h 30 min · 36 questions
Tool and Function Calling in Voice Agents51 min12 questions
Multimodal Agents: Combining Audio, Text, and Vision50 min12 questions
Realtime Video and Vision Agents49 min12 questions
7
Module 7: Telephony and SIP for Voice Agents
3 lessons · 2 h 31 min · 36 questions
Connecting Voice Agents to the Phone Network: Twilio and SIP51 min12 questions
Media Streams, DTMF, and Call Control50 min12 questions
Building a Production Phone Agent50 min12 questions
8
Module 8: Evaluation, Testing, and Safety
3 lessons · 2 h 31 min · 35 questions
Evaluating Voice Agents: Metrics and Methods50 min11 questions
Testing, Simulation, and Regression50 min12 questions
Safety, Guardrails, and Responsible Voice AI51 min12 questions
9
Module 9: Deployment, Cost, and Case Studies
4 lessons · 3 h 19 min · 48 questions
Deployment Architecture and Scaling50 min12 questions
Cost Modeling and Optimization50 min12 questions
Case Studies: Real-World Voice Agents49 min12 questions
Observability, Monitoring, and Incident Response for Voice Agents50 min12 questions
10
Module 10: Final Quiz — Voice AI and Realtime Multimodal Agents
1 lesson · 52 min · 30 questions
Final Assessment — Voice AI and Realtime Multimodal Agents52 min30 questions
By email
Email me the course syllabus
Modules and lessons in order, plus the link to the preview of lesson 1 — so you can decide at your own pace.
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How you learn
You read the lesson, ask the AI Professor right on the page and check what you remember.
Lesson 1 · 52 min
The Voice AI Stack: Cascaded Pipelines vs Speech-Native Models
Voice is the most natural human interface, and in 2026 it has finally become a first-class way to build AI applications. But "voice AI" is not one thing.
The first lines of lesson 1 of this course.
Read the free preview, no account needed.
You read the lesson at your own pace
Written lessons, with examples and exercises. Your progress is saved automatically, so you can pick up where you left off.
You ask the AI Professor inside the lesson
Select a passage and it explains it, gives you an example or tells you why it matters. You can type or talk to it, in English.
You check what you remember
Every lesson has its own quiz, with explanations for the answers: 382 questions across the course. The professor also summarizes the lesson and prepares review flashcards.
You get the Certificate of Completion
Once you complete the lessons and reach the minimum quiz score, you issue it from your account, with a unique number, publicly verifiable.
The AI Professor is included in your subscription, per-course access included, with a monthly fair-use limit. It is an AI system, not a human teacher, and its answers may contain errors; details in the Terms. See how the AI Professor works.
You leave with proof anyone can check
The Certificate of Completion for “Voice AI and Realtime Multimodal Agents”: a private attestation with a unique number and a QR code. A recruiter confirms it is authentic on the public verification page, with no account and no cost.
The real document, an A4 PDF, shown here with sample data. Yours carries your name, the course “Voice AI and Realtime Multimodal Agents”, the serial number, the issue date and the tier you earned; the QR code in the image is decorative.
Anyone can verify it
Public verification page, QR code and cryptographic fingerprint, with no account for the person checking.
You show it where it counts
Add it to your CV and LinkedIn profile; a recruiter confirms authenticity with one click.
It says exactly what it attests
The course, the tier you earned (Pass, Merit or Distinction), the serial number and the issue date, plus the percentage of lessons completed.
A private attestation of course completion. It is NOT a diploma or a state-recognised qualification under Romanian Laws 198/2023, 199/2023 or Government Ordinance 129/2000; employers may take it into account at their own discretion. Certification policy.
Pricing
Just this course or the whole IT Pro track
Billed monthly, in EUR. You can stop the renewal anytime from your account, and access starts right after payment. Prices are totals, with VAT included at the rate of your country.
Just this course
Voice AI and Realtime Multimodal Agents
€99per month, VAT includedNo commitment: stop the renewal anytime
Subscriptions renew automatically; you can stop the renewal anytime from your account, and access stays until the end of the period already paid for. As digital content with immediate access, see the withdrawal conditions.
About the course, the price, the AI Professor and the certificate.
What will I learn in “Voice AI and Realtime Multimodal Agents”?
A premium, advanced and complete course on building production voice AI and realtime multimodal agents, updated for 2026. You will master the modern voice stack — cascaded pipelines versus speech-native models — including speech-to-text (Whisper, Deepgram, streaming ASR), text-to-speech (ElevenLabs, Cartesia, OpenAI voices), and speech-to-speech via the OpenAI Realtime API and GPT Realtime. You will learn bidirectional streaming over WebSockets and WebRTC, latency budgeting, voice activity detection, turn detection and barge-in, orchestration with Pipecat and LiveKit Agents, function calling in voice, multimodal agents that combine audio, text and vision, realtime video, telephony and SIP integration with Twilio, rigorous evaluation and testing, deployment, scaling and cost modeling, and real-world case studies. The course carries a strong, practical focus on legal and ethical voice AI: consent to record, biometric voiceprints under GDPR, responsible voice cloning, and AI-disclosure transparency under the EU AI Act. Includes a comprehensive final assessment.
The course has 10 modules and 30 lessons, with 382 quiz questions. The full curriculum, module by module, is shown on the course page.
Do I need prior experience for this course?
Yes. The course is Advanced level and assumes hands-on experience with AI in its field.
How long does the course take?
The estimated duration is about 25 hours, across 30 lessons. You learn at your own pace, and your progress is saved automatically at every lesson, so you can pick up where you left off.
How much does it cost, and which plan do I need?
Access to this course alone costs €99 per month. The course is also included in the IT Pro bundle, €399 per month for all 25 IT Pro courses, and in All Access, €499 per month for the whole international catalog.
Plans are billed monthly, in EUR. Every price is a total, with VAT included at the rate of your country. Compare the plans.
Can I read part of the course before paying?
Yes. You can read a free preview of lesson 1, “The Voice AI Stack: Cascaded Pipelines vs Speech-Native Models”, without an account. The preview shows you how the lesson is written; the rest of the lesson and the other lessons open after payment.
How does the AI Professor help me in this course?
The AI Professor is built into every lesson and starts from the lesson you have open: it explains the passages you select, gives you examples, summarizes the lesson, tests you with a quiz and prepares review flashcards. You can type or talk to it, in English.
It is included in your subscription, per-course access included, with a monthly fair-use limit. It is an AI system, not a human teacher, and its answers may contain errors; details in the Terms.
Do I get a certificate when I finish the course?
When you meet the completion thresholds shown on the platform (lessons completed and the minimum quiz score), you can issue your Certificate of Completion for “Voice AI and Realtime Multimodal Agents” from your account, with a unique number, publicly verifiable on the site.
It is a private attestation of course completion, issued by GALIAN SOFTWARE DEVELOPMENT SRL. It is NOT a diploma or a state-recognised qualification under Romanian Laws 198/2023, 199/2023 or Government Ordinance 129/2000; employers may take it into account at their own discretion. Details in the Certification policy.
Does the subscription renew automatically? How do I stop it?
Yes. Course access and the bundles are subscriptions that renew automatically at the end of each monthly billing period. You can see the next renewal date in your account at any time.
You can stop the renewal at any time, from your account or by email, with no other formality. Access stays active until the end of the period already paid for, and no pro-rata refund is made for a period already started, except in the cases provided by law. Your progress stays saved in your account. Details in the Terms & Conditions, section 5.5.
Can my company buy this course for a team?
Yes. Company plans give a team access to the courses, with a dashboard where you follow each member’s progress and manage seats centrally. See the plans for companies.
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