Mistral AI: Voxtral TTS (text to speech), Vision & AI Agents

Name: Mistral AI: Voxtral TTS (text to speech), Vision & AI Agents
Rating: 5.0 (3 reviews)

Voice cloning, speech to text, text to speech, and AI agents — 5 real Python projects on Mistral's free plan

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Hot & New

Created byJana Bergant

Last updated 6/2026

English

What you'll learn

Build a live subtitling app and voice assistant using Mistral's Voxtral real-time STT
Clone voices with ref_audio and wire a full STT → LLM → TTS pipeline in Python
Wire up function calling and multi-agent handoffs with Mistral's Agents API
Read images and handwritten documents with Mistral's vision and OCR APIs
Ship 5 real apps: live subtitler, voice assistant, voice agent, homework helper, multi-agent system
Understand GDPR and the EU AI Act — and why Mistral's European origin matters for compliance

Course content

5 sections • 21 lectures • 2h 46m total length

Meet Your Instructor4:55
Jana Bergant has been a software engineer for 27 years and builds AI systems professionally — voice apps, agents, and production platforms. 41,000 students on Udemy. Here is what to expect from this course.

What Makes Mistral AI Different4:47
Open weights, Mixture of Experts (MoE) architecture, and European sovereignty — why Mistral AI is not just another OpenAI wrapper. This video explains what sets Mistral apart technically and philosophically, and why those differences matter when you build production AI apps.
Your First Mistral AI API Call5:54
Walk through the Mistral AI console to create your API key (recorded), then make your first chat completion call from Python. Code walkthrough of the exact API call shape — model, messages, system prompt, response metadata. You will have a working Mistral connection by the end.
Comparing Mistral AI Models: Speed, Quality & Cost6:44
Run the same prompt through Mistral Small 4, Medium 3.5, and Large 3 side by side and measure response quality, latency, and cost. Code walkthrough: how to change the model parameter and when each tier is the right choice for your app.
Configurable Reasoning in Mistral AI7:25
Send the same prompt with reasoning_effort set to none, low, and high — then compare the outputs and timing. Code walkthrough: the reasoning_effort parameter and how to read Mistral thinking blocks. One parameter, dramatically different behaviour.
Streaming API Responses from Mistral AI6:35
Stream tokens from Mistral AI as they are generated instead of waiting for the complete response. Code walkthrough: the streaming API call, iterating over chunks, and measuring time-to-first-token. The foundation for every responsive AI interface you will build.
Function Calling & Tool Use in Mistral AI8:17
Give Mistral AI tools it can actually call — a weather lookup and a timezone converter. Code walkthrough: defining tools as JSON schemas, setting tool_choice, parsing tool_call responses, and completing the assistant → tool → assistant loop. Live terminal recording of the full cycle running.
Image Understanding & Vision with Mistral AI7:05
Send images to Mistral AI using base64 encoding — solve a handwritten math problem, summarize notes in kid-friendly language, and describe a personal photo. Code walkthrough: the image_url content block, base64 encoding, and why base64 is more reliable than passing image URLs to the API.
Voxtral TTS: AI Voice Generator & Voice Cloning with Mistral AI11:27
Explore Mistral's 30 built-in Voxtral TTS voices with emotion steering, then clone a voice from seconds of reference audio using the ref_audio parameter. Code walkthrough: the TTS API call, voice selection, and zero-shot cloning. Recording: hearing a cloned voice respond for the first time.
Mistral AI Fundamentals: Models, Reasoning, and Voice

Live Transcribe Demo: Real-Time Speech-to-Text with Voxtral5:28
A full recording of the finished Live Transcribe app: speak into the microphone and watch subtitles appear in real time. Shows partial transcript deltas, finalized segments, and the copy and download controls. This is what you are about to build.
Live Transcribe App: Architecture & WebSocket Design10:22
How the live transcription system works: the browser captures PCM audio and sends it over a WebSocket to a FastAPI backend, which relays it to Voxtral Realtime STT. Walk-through of the student spec — what each requirement means and why the backend relay pattern is necessary.
Build the Live Subtitling app with your AI coding tool
Voxtral Realtime STT: Deep Dive into Real-Time Speech Recognition11:50
Code walkthrough of the Voxtral realtime speech-to-text API: the WebSocket connection, audio format requirements (PCM16 16 kHz mono), and the difference between transcription.delta (partial) and transcription.done (final) events. The relay WebSocket pattern explained. This is the Mistral-specific code you need to understand.
Real-Time Speech Recognition: Voxtral and Live Transcribe

Voice Assistant Demo: AI Voice Generator with Voice Cloning5:53
A full recording of the finished voice assistant: hold-to-talk input, Mistral AI reasoning, and a response spoken back in a cloned voice. Includes the voice cloning reveal — a few seconds of reference audio is all it takes. This is what you are about to build.
Voice Assistant Architecture: STT to LLM to TTS Pipeline10:03
How the voice assistant is structured: a state machine moving through idle → listening → thinking → speaking, with Voxtral STT converting speech to text, Mistral AI generating the response, and Voxtral TTS speaking it back. Walk-through of the student spec and the design decisions behind each requirement.
Build the Voice Assistant with your AI coding tool
Building the Voice Pipeline: Voxtral STT + Mistral AI + Voxtral TTS10:15
Code walkthrough of the three Mistral API calls that power every voice turn: Voxtral STT transcription, Mistral AI chat completion with conversation history, and Voxtral TTS with voice selection. How the output of each call becomes the input of the next, and how conversation history keeps context across turns.
AI Voice Cloning with Voxtral TTS: Complete Guide10:11
Code walkthrough of the ref_audio parameter — how zero-shot voice cloning works, the difference between free inline cloning and paid persistent voices, and what makes a good reference clip. Recording: cloning a real voice and hearing the result side by side with the original. The voice-cloning moment of the course.
AI Voice Cloning and the STT→LLM→TTS Pipeline

Scoping a Voice Assistant for a Client
EU Data Sovereignty: Why Mistral AI's French Origin Matters8:15
What EU data sovereignty actually means for your AI app: European hosting, data residency, and the legal jurisdiction difference between using a US provider and Mistral AI. Why Mistral being a French company — subject to French and EU law, not FISA or the US Cloud Act — changes the compliance picture for European businesses and their customers.
GDPR & the EU AI Act: AI Compliance with Mistral7:42
A practical compliance checklist for shipping an AI app in Europe: GDPR requirements for AI-generated data, the EU AI Act risk categories and what they mean for a voice or vision app, and the concrete steps to take before going live. No legal jargon — just what you actually need to do.
Mistral AI API Pricing: Cost Breakdown & Optimization7:50
Real cost estimates at 1K, 10K, and 100K users using Mistral Small 4, Medium 3.5, and Large 3 — with exact per-token prices. Model selection for cost: when Small 4 is enough, when Large 3 is worth it, when Medium 3.5 is the right middle tier. Caching and batching strategies that cut your Mistral AI API costs without changing your code.
Deployment Options, Rate Limits & Scaling with Mistral AI9:46
How to host what you have built: local dev vs cloud FastAPI vs Mistral Spaces (Mistral's own hosting platform with a CLI-based deploy flow). Free vs paid plan rate limits and what happens when you hit them. The Workflows split architecture as a concrete example of EU sovereignty in practice: Mistral handles the AI, your data stays in your own infrastructure.
What You've Built & Where to Go Next with Mistral AI6:15
A recap of all five projects — live subtitling, voice assistant with voice cloning, barge-in voice agent, dyslexia homework helper, and multi-agent personal assistant — and ideas for where to take them further. Plus what is new from Mistral: Vibe Remote Agents (async cloud coding agents), Work Mode in Le Chat (what the multi-agent pattern looks like as a consumer product), and Workflows (durable execution for production agents).
Mistral AI in Production: Costs, GDPR, and EU Data Sovereignty
Pitching Mistral to a Skeptical CTO
EU AI Act Compliance with a Legal Advisor

Requirements

Basic Python — comfortable writing and running simple scripts
No AI or ML background required — we start from the Mistral API basics in Lecture 1
A free Mistral AI account — created together in Lecture 1, free tier covers all course projects

Description

Most AI courses stop at chatbots. This one doesn't.

You'll build five real applications using Mistral AI's APIs — a live subtitling app with speech to text, a voice assistant with cloned voices, a full-duplex voice agent that uses function calling, an AI homework helper for dyslexic students, and a multi-agent personal assistant. All of it runs on Mistral's free plan.

What you'll build:

A live subtitling app using Voxtral's real-time speech recognition
A voice assistant that clones your voice using ref_audio — no paid tier required
A voice agent with tool use: the AI can call functions mid-conversation
An accessibility tool that reads handwritten homework, describes diagrams, and reads answers aloud
A multi-agent system with handoffs, connectors, and MCP tool use

What you'll learn along the way:

Mistral's chat, reasoning, streaming, and function calling APIs
Voxtral speech to text (offline and real-time) and text to speech with built-in and cloned voices
Vision and OCR for image and document understanding
The Mistral Agents API — creating agents, routing between them, using web search connectors
EU AI Act, GDPR, and why Mistral's French origin matters for compliance

How the course works:

Each module covers one capability in a short deep-dive video, then you practice in a hands-on lab (Jupyter or Python CLI — no special setup). After the labs, you build the full project yourself, with a spec and a solution video.

No theory for its own sake. No slides full of definitions. Just Mistral's API, Python, and things you can actually use.

If you know basic Python and want to build real AI applications — not just prompts — this course is for you.

Who this course is for:

Python developers who want to add voice and vision features to real apps
Developers in EU-regulated industries who need GDPR-compliant AI solutions
Anyone who knows basic Python and wants to build more than a chatbot

Mistral AI: Voxtral TTS (text to speech), Vision & AI Agents

What you'll learn

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Course content

Introduction1 lecture • 5min

Getting Started with Mistral AI8 lectures • 58min

Real-Time Speech Recognition: Live Transcribe App3 lectures • 28min

Voice Assistant with AI Voice Cloning4 lectures • 36min

Production, Compliance & What's Next8 lectures • 40min

Requirements

Description

Who this course is for: