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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.
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The Training Polly - Deploying Ultra-Realistic Synthetic Voices 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 Polly - Deploying Ultra-Realistic Synthetic Voices 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 Polly - Deploying Ultra-Realistic Synthetic Voices 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.
Dive into advanced Polly configuration via AWS console and Python/Node.js SDK, test French neural voices for optimal realism, structure complex SSML documents with prosodic pauses and emphases, create custom phonetic lexicons on domain-specific corpora, perform practical exercises on enterprise scripts, produce initial optimized audio files with metadata, evaluate quality using AWS CloudWatch tools.
Integrate Polly into serverless architectures with AWS Lambda for real-time processing, develop audio streaming flows via WebSockets for interactive chatbots, manage massive synthesis batches for automated podcasts, implement secure IAM authentication and throttling, apply concrete enterprise voice app cases, test resilience with high-load simulations, generate functional deliverables ready for staging.
Customize Polly voices with advanced neural TTS for regional accents and emotions, combine with Amazon Lex for natural multilingual dialogues, optimize latency via S3 caching and CloudFront CDN, analyze MOS metrics with subjective evaluation tools, develop red thread projects on professional AI assistants, integrate feedback loops for rapid iterations, produce scalable and certifying voice demos.
Deploy Polly pipelines in CI/CD with CodePipeline and ECS for high availability, monitor costs and performance via X-Ray and AWS Budgets, secure flows with KMS encryption and private VPCs, migrate legacy TTS to Polly for 70% quality gains, review red thread projects in collective code review, prepare production rollout with DevOps playbooks, validate skills through final certifying audit.
Target audience
AI developers, voice engineers, tech project managers seeking to upskill on Polly in corporate environments
Prerequisites
Mastery of AWS (Lambda, S3), Python/Node.js programming, basics of speech synthesis
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