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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 Azure Cognitive Services - Integrating Vision, Speech and Language AI 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 Azure Cognitive Services - Integrating Vision, Speech and Language AI 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 Azure Cognitive Services - Integrating Vision, Speech and Language AI 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.
Quick installation of the Azure environment with creation of dedicated Cognitive Services resources for Vision AI, exploration of Computer Vision APIs to detect objects, faces and text in real enterprise images, practical exercises on surveillance video analysis with real-time object tracking, development of a prototype application that extracts actionable visual insights, testing and debugging with Azure Monitor tools to validate model accuracy, production of a visual analysis report ready to integrate into your business workflows.
Deep dive into Speech Services with Speech-to-Text configuration to transcribe speeches in real-time during enterprise meetings, customization of neural models for regional accents and professional jargon via Custom Speech, implementation of Text-to-Speech to generate natural synthetic voices adapted to voice assistants, exercises on integration into a mobile app with live audio stream management, cost and latency optimization with batch processing, realization of a functional voice assistant tested on concrete cases like automated customer support, complete documentation of endpoints and performance monitoring.
Advanced deployment of Language AI with Text Analytics to extract sentiments, entities and keys from massive customer feedback, design of a conversational bot via LUIS for predictive intents and natural dialogues, multi-service integration Vision-Speech-Language into a serverless Azure Functions architecture, exercises on data security with Private Link and GDPR compliance, cost optimization via dynamic quotas and auto-scaling, finalization of a red thread project deployed on Azure App Service with CI/CD GitHub Actions, evaluation of metrics and improvement plan for immediate production rollout.
Target audience
AI developers, data scientists and software engineers aiming to upskill in cognitive AI for enterprise
Prerequisites
Knowledge of Azure Fundamentals, Python or C# programming, machine learning basics and REST APIs
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