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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.
10 spots per session maximum — 7 already taken
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30 free minutes with a training advisor — no commitment.
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The Training Whisper - Mastering AI Speech 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.
To ensure the quality of the Training Whisper - Mastering AI Speech Transcription training, Learni provides the following 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.
The assessment of skills acquired during the Training Whisper - Mastering AI Speech Transcription training is carried out through:
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.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Installation and configuration of Whisper locally or via OpenAI API. Fine-tuning models for accents and noise. Batch audio management in enterprise settings. Python integration with libraries like pydub. Exercises on real cases such as podcasts and meetings. GPU/CPU optimization for scalability. Post-processing timestamps and diarization. Multilingual translation across 99 languages. Flagship project: YouTube video transcription pipeline. Hands-on speaker detection. Performance tests on professional datasets. Docker deployment for Whisper. Best practices for voice data security. Error analysis and BLEU/WER metrics. Shared GitHub code support. Adaptation to business AI needs. Approximately 120 words.
Target audience
AI Developers, NLP Engineers, Data Scientists for upskilling
Prerequisites
Advanced Python proficiency, knowledge of ML/DL, OpenAI APIs
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