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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 OpenAI Service - Deploying Generative AI in the Enterprise 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 OpenAI Service - Deploying Generative AI in the Enterprise training, Learni provides the following teaching resources:
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The assessment of skills acquired during the Training Azure OpenAI Service - Deploying Generative AI in the Enterprise training is carried out through:
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Complete discovery of Azure OpenAI Service via the Azure portal, creation of resources and generation of secure API keys, exploration of the playground to test GPT-3.5 and GPT-4 models in real-time, practical exercises on simple prompts to generate professional text, setup of a Python development environment with Azure SDK, creation of a first script calling the API and analysis of responses for concrete business cases.
In-depth exploration of available models such as GPT for text, DALL-E for images, and embeddings for semantic search, advanced prompting techniques with few-shot and chain-of-thought for precise results, practical workshops on optimizing prompts for business tasks like automated writing or data analysis, experimentation with fine-tuning on custom datasets, production of testable deliverables and qualitative evaluation of AI outputs tailored to professional needs.
Development of applications connected to Azure OpenAI Service via Python and JavaScript SDKs, REST API integration into existing workflows with Azure AD authentication, practical cases on intelligent chatbots and virtual assistants for the enterprise, management of embeddings for high-performance vector search, collaborative exercises to combine generative AI with Azure Cosmos DB databases, creation of a functional prototype with a simple user interface and endurance testing on real scenarios.
Production deployment of Azure OpenAI Service applications via Azure AI Studio and Functions, configuration of quotas, monitoring with Azure Monitor and Application Insights for traceability, workshops on data security with encryption and RBAC, cost management and token optimization for enterprise scalability, case study on GDPR compliance and AI ethics, finalization of the ongoing project with security audit and implementation plan, delivery of annotated source code ready for deployment.
Target audience
Developers, data analysts, IT project managers, and innovation managers seeking to build AI skills in the enterprise
Prerequisites
Basic knowledge of Python programming and familiarity with the Azure portal
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