Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training ElevenLabs 2026 - Mastering Professional AI Voice Synthesis training are: Knowledge of Python or JavaScript programming, REST API usage, and basics of audio processing. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training ElevenLabs 2026 - Mastering Professional AI Voice Synthesis training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training ElevenLabs 2026 - Mastering Professiona... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Training ElevenLabs 2026 - Mastering Professional AI Voice Synthesis training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training ElevenLabs 2026 - Mastering Professional AI Voice Synthesis training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training ElevenLabs 2026 - Mastering Professional AI Voice Synthesis training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training objectives

Master the ElevenLabs 2026 API for professional certifying projects

Develop ultra-realistic AI voices tailored for business

Implement multilingual and personalized voice synthesis workflows

Optimize voice performance for scalable applications

Design AI audio pipelines with ElevenLabs in production

Integrate ElevenLabs 2026 into secure professional workflows

Training program

Module 1ElevenLabs 2026 Fundamentals: API configuration and first voice models (API keys, authentication, premium voices)

Quick installation of the ElevenLabs 2026 environment via Python and Node.js SDKs, generation of first realistic voices from simple texts, exploration of advanced voice models like Multilingual v2 and Voice Design, practical exercises on expressive voice cloning, emotion and accent testing for professional content, production of exportable audio files with metadata, immediate trainer feedback on quality and naturalness.

Module 2ElevenLabs 2026 Customization: Cloning and custom voice design (VoiceLab tools, stability control, phonetic tweaks)

Dive into VoiceLab to clone real voices in minutes using short audio samples, fine-tuning parameters like clarity, speed, and intonation for specific brands, real business cases like corporate podcasts or virtual assistants, collaborative exercises to create 5 personalized voices, optimization for low-latency real-time use, export in high-fidelity WAV/MP3 formats, project review to ensure professionalism.

Module 3Advanced ElevenLabs 2026 Integration: Streaming API and multilingual (REST/Websocket endpoints, batch processing)

Develop connected applications via streaming API for real-time synthesis without delay, multilingual implementation covering 29 languages with auto-detection, integration into web/mobile apps with React and Flutter examples, error handling and quotas for enterprise scalability, exercises on long narrative streams like audiobooks, performance monitoring with advanced logs, delivery of a production-ready functional prototype.

Module 4ElevenLabs 2026 Optimization: Performance and security (prompt engineering, caching, GDPR compliance)

Prompt engineering techniques for expressive and contextual voices, intelligent caching of generations to reduce API costs by 60%, securing voice data with encryption and consents, compliance audits for enterprise use, practical cases on latency reduction under 200ms, optimization exercises on ongoing projects, comparative benchmarks with competitors, implementation plan for IT teams.

Module 5Professional ElevenLabs 2026 Projects: Deployment and real-world use cases (Docker, CI/CD, production monitoring)

Full deployment of an AI voice app in Docker containers for AWS or Vercel cloud, CI/CD automation with GitHub Actions for smooth updates, case studies like interactive e-learning or voice chatbots, finalization of ongoing project with professional voice portfolio, A/B testing on user engagement, issuance of competency certificates, Q&A session for enterprise transfer, post-training resource access.