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 Whisper Training - Mastering Expert AI Voice Transcription training are: Advanced Python expertise, PyTorch or TensorFlow, OpenAI APIs and audio signal processing. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Whisper Training - Mastering Expert AI Voice Transcription training is available in in-person. The format can be adapted to your needs (inter, intra, custom).

Whisper Training - Mastering Expert AI Voice Tra... | 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.

Configure your training

Response within 24hNo commitment100% free

8 spots remaining for the next session

FormatParticipantsDateDetails

Which format do you prefer?

Methods, approaches, and teaching resources

The Whisper Training - Mastering Expert AI Voice Transcription 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 Whisper Training - Mastering Expert AI Voice Transcription 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 Whisper Training - Mastering Expert AI Voice Transcription 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 advanced Whisper techniques for precise corporate transcriptions

Develop professional multilingual and noise-robust Whisper pipelines

Optimize Whisper performance for certified real-time applications

Implement fine-tuning of Whisper on custom enterprise datasets

Integrate Whisper into scalable cloud architectures with enhanced security

Deploy optimized Whisper solutions for professional production

Training program

Module 1Whisper: Advanced Fine-Tuning and Model Optimization (Hugging Face, PyTorch, Custom Datasets)

Expert installation of Whisper via Hugging Face Transformers, in-depth exploration of distil-whisper and large-v3 architectures for maximum precision, practical fine-tuning exercises on your company audio datasets, noise reduction and multilingual adaptation with WER/CER metrics, production of custom models tested in real conditions, validation by comparative benchmarks for immediate quality gains.

Module 2Whisper: Robust Audio Processing Pipelines (Streaming, Post-Processing, NLP Integration)

Design of end-to-end pipelines with Whisper for real-time streaming transcription, use of libraries like Faster-Whisper for GPU/CPU acceleration, post-processing integration with NLP models for diarization and automatic punctuation, concrete cases on podcasts and company meetings, collaborative exercises for robustness to varied noise, generation of enriched transcripts ready for business analysis, focus on scalability for high volumes.

Module 3Whisper: API Integration and Enterprise Architectures (FastAPI, AWS/GCP Cloud)

Development of secure REST/GraphQL APIs exposing Whisper with FastAPI and JWT authentication, connection to vector databases for semantic search on transcripts, deployment on Kubernetes for high availability, exercises on your professional use cases like customer call analysis, performance monitoring with Prometheus, latency optimization for smooth UX, production of interoperable microservices with existing IT systems.

Module 4Whisper: Production Deployment and Security (Docker, CI/CD, GDPR Compliance)

Complete containerization of Whisper solutions with Docker and Helm orchestration, setup of CI/CD GitHub Actions for automated deployments, securing sensitive data with encryption and GDPR compliance audits, incident simulations for resilience, finalization of red thread project on real company scenario, peer-to-peer code review, delivery of deployable blueprints and maintenance plan for maximum ROI in production.