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IT & ENGINEERING Advanced

Voice AI and Realtime Multimodal Agents

Read a free preview of the first lesson No account, no card · the opening of Lesson 1, plus the interactive platform demo and the AI Professor Start now Finish the course with a publicly verifiable Certificate of Completion See the certificate

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.

10 modules
30 lessons
~25h duration
v1.0 version
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Hands-on exercises Real scenarios and practical exercises directly on the platform, with instant feedback
Progress & analytics A personal dashboard with statistics, streaks, scores and structured learning paths
Interactive AI quizzes Questions generated by AI and adapted to your level, with detailed explanations
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What you will learn

Practical skills you gain by completing this course

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
Deployment, Cost, and Case Studies
Final Quiz — Voice AI and Realtime Multimodal Agents

Who it is for

Developers Software engineers Solution architects CTOs / Tech Leads Data Scientists ML Engineers DevOps Engineers

Recommended level

Advanced

Assumes hands-on experience with AI and complex scenarios.

Updates

Regular

Last update: Aug 8, 2026. Content kept up to date.

Category

IT & Engineering

A technical course for IT professionals — available with individual course access or the IT Pro / All Access bundle.

Advanced level

Hands-on experience required

Assumes practical experience with AI. Covers complex scenarios and advanced strategies.

Always up to date

Last update: Aug 8, 2026

The course is updated regularly with the latest information, tools and practices from the industry.

Practical and applied

30 lessons with real examples

Each lesson includes practical scenarios, actionable checklists and quizzes to check your understanding.

Certificate of Completion

You leave with proof anyone can check

for the course Voice AI and Realtime Multimodal Agents

A private attestation with a unique number and a QR code. A recruiter confirms it is authentic in a second, on the public verification page — no account, no cost.

What your certificate states for this course

  • 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
Verify a certificate Certification policy →

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.

Anyone can verify it

Public verification page, QR code and cryptographic fingerprint — no account and no cost for the person checking.

Useful when job hunting

Add it to your CV and LinkedIn profile; a recruiter confirms authenticity with one click.

Transparent

It shows exactly what it attests: the course, the modules covered, the assessment score and the completion date.

Curriculum

10 modules, 30 lessons — structured to learn step by step.

10 modules
30 lessons
~25h of content
Interactive quizzes
Free preview available The Voice AI Stack: Cascaded Pipelines vs Speech-Native Models
Read the preview
1 Free preview lesson The Voice AI Stack: Cascaded Pipelines vs Speech-Native Models
Read the preview
2 Conversation Anatomy: Latency, Turn-Taking, and Endpointing
51 min
3 Consent, Privacy, and AI Transparency: The Legal Foundation
50 min
1 How Modern Speech Recognition Works: Whisper, Deepgram, and the ASR Landscape
51 min
2 Streaming Transcription: Partial Results, Interim Hypotheses, and Endpointing
50 min
3 ASR Accuracy: WER, Diarization, and Handling Real-World Audio
50 min
1 Neural TTS in 2026: ElevenLabs, Cartesia, and Hosted Voices
51 min
2 Streaming TTS: Latency, Chunking, and Voice Consistency
50 min
3 Voice Cloning: Ethics, Consent, and the Law
49 min
1 Speech-to-Speech Models: The OpenAI Realtime API and GPT Realtime
51 min
2 Bidirectional Streaming: WebSockets, WebRTC, and Audio Framing
51 min
3 Sessions, Events, and Managing Realtime State
50 min
1 Orchestration Frameworks: Pipecat and LiveKit Agents
51 min
2 Turn Detection, VAD, and Barge-In in Practice
51 min
3 The Latency Budget: Engineering Natural Conversation
50 min
4 Conversation Design and System Prompts for Voice Agents
50 min
1 Tool and Function Calling in Voice Agents
51 min
2 Multimodal Agents: Combining Audio, Text, and Vision
50 min
3 Realtime Video and Vision Agents
49 min
1 Connecting Voice Agents to the Phone Network: Twilio and SIP
51 min
2 Media Streams, DTMF, and Call Control
50 min
3 Building a Production Phone Agent
50 min
1 Evaluating Voice Agents: Metrics and Methods
50 min
2 Testing, Simulation, and Regression
50 min
3 Safety, Guardrails, and Responsible Voice AI
51 min
1 Deployment Architecture and Scaling
50 min
2 Cost Modeling and Optimization
50 min
3 Case Studies: Real-World Voice Agents
49 min
4 Observability, Monitoring, and Incident Response for Voice Agents
50 min
1 Final Assessment — Voice AI and Realtime Multimodal Agents
52 min
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