Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Learning objectives
- Master the deployment of ElevenLabs in enterprise Kubernetes environments
- Develop advanced skills in container orchestration for voice solutions
- Design scalable and certifiable architectures with Helm for professional AI
- Implement secure and optimized pipelines for ElevenLabs workloads in production
- Optimize performance and high availability of enterprise voice workloads
- Configure monitoring and scaling strategies adapted to professional training
Our social commitment
A school kit donated to a child for every training
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Don't let this gap widen
Why this program matters
Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.
Organizations that don't train their talents on key topics see their competitiveness drop.
Every quarter without training is a gap widening with competitors who invest.
The cost of inaction quickly exceeds that of well-targeted training.
Program
Module 1Theme: ElevenLabs containerization and Docker (builds, registries, volumes)
Participants discover how to containerize ElevenLabs workloads with Docker by creating optimized images, managing secrets and testing voice APIs. Practical exercises on real enterprise cases enable the production of Kubernetes-ready images while respecting security and traceability best practices.
Module 2Theme: ElevenLabs on Kubernetes (pods, services, ingress)
This day covers the deployment of ElevenLabs in Kubernetes clusters with advanced configuration of deployments, services and ingress controllers. Learners perform horizontal scaling exercises and resource management on concrete professional scenarios, integrating probes and rolling update strategies.
Module 3Theme: ElevenLabs Helm charts and orchestration (templates, values)
Trainees learn to package and version ElevenLabs deployments via custom Helm charts. They design reusable templates, manage multiple environments and automate releases. Practical workshops result in production-ready charts for enterprise use.
Module 4Theme: ElevenLabs monitoring and security (Prometheus, RBAC)
The training addresses observability of ElevenLabs services with Prometheus and Grafana, as well as securing via RBAC and network policies. Participants set up alerts and dashboards on real use cases, ensuring compliance and resilience of professional voice infrastructures.
Module 5Theme: ElevenLabs CI/CD pipelines and optimization (GitOps, autoscaling)
The final day focuses on full automation of ElevenLabs deployments with ArgoCD and advanced autoscaling strategies. Learners deliver a final project including pipelines, load testing and cost optimization, directly applicable in their enterprise context.
Evaluation method
- Final MCQ on Kubernetes and Helm concepts applied to ElevenLabs
- Practical project of complete deployment evaluated by trainers
- Oral defense of the professional use case carried out during the training
Learning method
- Daily practical workshops on real Kubernetes clusters
- Access to a persistent training environment for 30 days
- Resources and Helm templates provided for reuse in the enterprise
- Personalized feedback on architectures designed by participants
Methods, materials and delivery
The Training ElevenLabs 2026 - Deploying Voice AI in Production program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training ElevenLabs 2026 - Deploying Voice AI in Production program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training ElevenLabs 2026 - Deploying Voice AI in Production program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
Our method
Training quality, guaranteed at every step
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
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FAQ
Frequently asked questions
How much does the Training ElevenLabs 2026 - Deploying Voice AI in Production training cost?+
The individual price is $5,775 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Training ElevenLabs 2026 - Deploying Voice AI in Production training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Confirmed mastery of Docker, Kubernetes and Helm, experience in AI API production and CI/CD pipeline practice.
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
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