Creation of Voice AI Agents Training Course with Vapi, n8n and ElevenLabs

Reference : YAS/EN/VIA

1800 € excl. VAT

3 Days

21 h

Each session will take place even if only one person is registered (except in cases of force majeure).

Description of the Creation of Voice AI Agents Training Course

Practical and accessible training
Want to design an intelligent voice agent that can understand, respond and interact automatically? The Creating an Autonomous AI Voice Agent training course guides you step by step through the creation of a complete solution, combining synthetic speech, conversational AI and action automation.
Through a progressive approach, you will learn how to design a voice agent from start to finish, integrating both voice AI tools and language models.
You will then discover how to connect this agent to other business tools (messaging, CRM, telephony, etc.) via automated connectors, facilitating interactions and processes.
In this way, you will develop skills that can be put to immediate use, regardless of your technical infrastructure or industry.
In summary
Ultimately, this training course will enable you to :
Understand the technical building blocks of an AI voice agent
Design a complete solution, from voice processing to automation
Quickly deploy functional prototypes for your business use cases

Format

Remote (recorded sessions).

GOOD TO KNOW

This training course includes numerous exercises (60% practical) to enhance learning. Each session will take place even if only one person is registered (except in cases of force majeure). A preliminary interview is held between the participant and/or a company representative in order to fully assess the participant’s profile (level, needs, professional context, challenges, etc.).
Assessment : during the training course, the trainer assesses the participants’ progress through multiple-choice questions, role-playing exercises and practical work. Participants receive a certificate of completion at the end of the training course.

objectives of the Creation of Voice AI Agents Training Course

By the end, each participant will be able to :

1. Generate a natural synthetic voice

You will learn how to use tools such as Azure Speech, ElevenLabs, or other voice AI services to produce a fluid, expressive voice that is tailored to your use cases.
This will enable your agent to read, respond, or interact with users in a realistic manner.

2. Understand intentions using language models (LLMs)

You will learn how to use language models (LLMs), such as ChatGPT, which are capable of understanding and responding to questions formulated in natural language.

3. Design dynamic dialogues

You will learn how to structure fluid dialogues using conversational design tools (such as Botpress, Voiceflow, Dialogflow, etc.).
This allows you, for example, to handle errors, ask clarifying questions, or offer a more human experience.

4. Connect your agent to your business systems

Your agent can be deployed across multiple channels : business telephony, voice assistants, websites, and even internal applications.
This makes it a true assistant integrated into your work environment.

5. Automate concrete actions

Automatically trigger concrete actions, such as sending an email or creating a support ticket, without human intervention.

Prerequisites for this Creation of Voice AI Agents Training Course

Accessible without coding : basic web skills are sufficient, the content adapts to your profile
To follow the Create an Autonomous AI Voice Agent training course in the best conditions, we recommend that you :
Firstly, have some familiarity with web and cloud tools, particularly with regard to the use of APIs, authentication mechanisms and online environments.
Next, having a basic knowledge of automation logic through platforms such as Zapier, Make or n8n will make it easier to get to grips with the tools covered.
That said, no development skills are strictly required. However, a curious and ‘maker’ mindset will be a real asset in getting the most out of the practical cases offered.
Furthermore, because each participant is unique, a personalised interview is systematically organised in advance with our expert.
The aim of this discussion is to design a fully tailored training programme that is perfectly aligned with each participant’s level, expectations and professional challenges.

Target Audience

This training course is designed for :

Developers and makers curious to explore the possibilities of AI voice agents.
No-code/low-code professionals wishing to enhance their applications with voice and AI.
Business teams interested in digitising customer or user interactions.

Detailed of the Creation of Voice AI Agents Training Course with Vapi, n8n and ElevenLabs

Introduction to Voice AI Agents

Overview of use cases : intelligent voice standard, customer service agent, personal assistant. Typical architecture of a voice AI agent (listening, understanding, action, response).

Discovering and configuring Vapi

Introduction to the Vapi API : creating an agent, managing voice flow, integrating OpenAI/GPT for logic. Testing a first voice agent locally or online.

Advanced speech synthesis with ElevenLabs

Creation of customised natural voices, adjustments to tone, style and expressiveness. Connection with Vapi for smooth and natural voice feedback. Examples of professional voices.

Automate intelligence with n8n

Using n8n to trigger actions (emails, data sending, database updates). Advanced automation scenarios with contextual response. Webhook connection between Vapi and n8n.

Deployment, testing, and real-time interactions

Launch of a Voice AI Agent accessible by telephone or browser. User testing, workflow adjustments, conditional logic. Monitoring and analysis of exchanges.

Ethics and best practices

Consent, transparency, and user control. Structuring a ‘responsible’ agent.

The advantages of this training course

This course stands out :

Through its highly practical and results-oriented approach (you leave with a functional agent),
Through a unique combination of modern and accessible technologies (no-code + AI + voice),
Through a focus on responsible use, which is too often absent in purely technical approaches.