ITTA offers the Azure OpenAI Service catalogue: Develop generative AI apps in Azure (AI-3016) and Develop Generative AI solutions using Azure OpenAI and the Semantic Kernel SDK (AZ-2005). Covers Azure OpenAI Service, GPT-4 and GPT-4o models, DALL-E, Whisper, embeddings, Azure AI Foundry, Semantic Kernel, RAG, fine-tuning, enterprise AI security and governance. Training delivered in Geneva, Lausanne and interactive virtual classroom by Microsoft-certified Azure and AI consultants active in production.
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AI-3016 training: generative AI with Azure OpenAI Service, GPT-4 and RAG. 1-day Applied Skill course in Geneva and Lausanne.
Azure OpenAI Service is the managed Microsoft Azure service exposing OpenAI models (GPT-4, GPT-4o, GPT-4o mini, o-series reasoning models, DALL-E for image generation, Whisper for audio transcription, embedding models) with Azure’s enterprise, security and compliance controls. Announced in 2021 and progressively enriched, Azure OpenAI Service allows organisations to use OpenAI models within their Azure tenant, with European data residency (Switzerland North, Switzerland West, France Central, Germany, Netherlands), private endpoints, Azure AD authentication, Microsoft content filtering, audit logs and enterprise SLA. It is the option of choice for Swiss organisations wishing to leverage GPT-4 without depending directly on OpenAI.
Azure OpenAI Service integrates into a broader stack: Azure AI Foundry (formerly Azure AI Studio) regroups AI application creation tools (playgrounds, prompt flow, evaluations, managed deployments), Azure AI Search provides vector and hybrid search for RAG (Retrieval-Augmented Generation) architectures, Azure AI Content Safety filters sensitive content, Semantic Kernel and LangChain orchestrate agents and workflows. In 2026, the Azure OpenAI ecosystem becomes a European enterprise standard for business copilots, AI agents and content generation applications.
In French-speaking Switzerland, Geneva private banks, Lake Geneva international organisations, university hospitals, cantonal administrations, telecom operators, pharmaceutical industries and large insurers have made Azure OpenAI Service their first entry to production generative AI, with various use cases: document assistance with RAG, business chatbots, letter generation, meeting summaries, audio translation and synthesis, PDF analysis, ticket classification. ITTA offers the Azure OpenAI Service catalogue covering AI-3016 (Designing AI applications) and AZ-2005 (Azure OpenAI + Semantic Kernel) certifications.
Following a recognised Azure OpenAI Service training opens access to highly demanded roles in French-speaking Switzerland: Azure AI Engineer, generative AI developer, Azure AI consultant, AI solutions architect, prompt engineer, AI consultant, generative AI data scientist, AI MLOps engineer. Whether you are preparing the AI-3016 or AZ-2005 certification, or structuring an enterprise RAG architecture, our Azure OpenAI Service training in Geneva and Lausanne covers the full path.
Develop generative AI apps in Azure (AI-3016) is the official Microsoft training to design generative AI applications with Azure AI Foundry and Azure OpenAI Service. The programme covers Azure AI Foundry (playgrounds, projects, deployments), available models (GPT-4o, GPT-4, embeddings, DALL-E, Whisper), prompt engineering, RAG architecture with Azure AI Search, prompt and output evaluation, fine-tuning, content safety, cost and performance monitoring, and integration with business applications (.NET, Python, JavaScript). Targets Azure AI Engineers, AI developers and Azure consultants.
Develop Generative AI solutions using Azure OpenAI and the Semantic Kernel SDK (AZ-2005) is the Microsoft Applied Skill code-oriented training for developers building agents and copilots with Azure OpenAI and Semantic Kernel (Microsoft’s open source AI agent orchestration SDK). The programme covers Semantic Kernel (plugins, planners, memories), integration with Azure OpenAI models, autonomous agent patterns, RAG with Semantic Kernel and Azure AI Search, tool invocation (function calling), and deployment on Azure App Service or Azure Container Apps. Targets .NET and Python developers building enterprise AI agents.
Azure OpenAI Service fits into a broader AI and Azure ecosystem. The OpenAI publisher covers direct use of the public OpenAI API and practical use of ChatGPT. The Azure AI Services publisher regroups the broader Azure AI suite (Azure AI Search, Azure AI Document Intelligence, Azure AI Vision, Azure AI Language). The Microsoft Azure publisher covers Azure fundamentals essential to hosting an Azure OpenAI Service solution. The artificial intelligence sub-domain regroups the entire ITTA AI catalogue (data science, LLMs, agents, generative AI).
Azure OpenAI Service evolves rapidly in 2026. GPT-4o, GPT-4o mini and o-series reasoning models from OpenAI are progressively deployed on Azure with minimal delay versus direct OpenAI. Azure AI Foundry replaces Azure AI Studio as the unified AI application creation platform, with prompt flow, evaluation and managed deployment features. Switzerland North and Switzerland West data residency becomes a decisive argument for Geneva and Vaud banking, medical and public organisations subject to nLPD and professional secrecy. Enterprise RAG architectures generalise around Azure AI Search in vector or hybrid mode. Agent patterns with Semantic Kernel structure themselves. Our pedagogical content regularly integrates these evolutions to remain aligned with current practices.
All our Azure OpenAI Service courses are available on-site in our Geneva and Lausanne centres, as well as in interactive virtual classroom with a Microsoft-certified Azure and AI consultant live. Our sessions are organised in 5-week cycles. Each session includes hands-on labs on dedicated Azure tenant, prompts to design and evaluate, RAG architectures to build with Azure AI Search, Semantic Kernel agents to implement, and concrete cases inspired by real projects (document assistance, business chatbot, PDF analysis). Customised corporate training is also possible at your premises, in Geneva, Lausanne, Vaud and across French-speaking Switzerland, with a programme adapted to your stack (Azure.NET, Python) and your compliance constraints (nLPD, GDPR).
ITTA offers a training catalogue. Our Azure OpenAI Service trainers are Microsoft-certified Azure and AI consultants (Microsoft Certified: Azure AI Engineer Associate, Azure Solutions Architect Expert) active with Swiss and international clients, covering RAG application design, Azure AI Foundry integration, agent development with Semantic Kernel, secure Azure OpenAI deployment and enterprise AI governance. The Azure OpenAI Service catalogue regroups AI-3016 and AZ-2005. Our pedagogical team supports you in choosing the right path, identifying prerequisites (Azure fundamentals, preferred language) and identifying funding solutions adapted to your professional situation.
Our pedagogical approach favours learning by doing, with prompts to design from the first hours, RAG architectures to build, Semantic Kernel agents to orchestrate, Azure OpenAI models to invoke, and concrete cases inspired by real projects. Each session combines training time, applied exercises and exchanges with the trainer, allowing each participant to progress at their own pace and leave with skills directly usable in their professional context.
Our training is aimed at varied audiences: Azure AI Engineers.NET and Python developers, solutions architects, AI consultants, data scientists moving to LLM, MLOps engineers, internal IT teams managing a RAG or business copilot project, Microsoft-specialised IT services teams. Our pedagogical team adapts the content to the participants’ context.
Here is a selection of reference training courses in this catalogue, accessible directly:
What is the difference between Azure OpenAI Service and direct OpenAI?
Azure OpenAI Service is Microsoft Azure’s managed offering exposing OpenAI models within your Azure tenant, with European or Swiss data residency, private endpoints, Azure AD, audit logs and enterprise SLA. Direct OpenAI (public API on platform.openai.com) is simpler to activate for POCs but does not provide the same compliance rigour, Swiss data residency and integration with the rest of your Azure stack. Swiss organisations generally prefer Azure OpenAI for production workloads.
Which Microsoft certification path to target on Azure OpenAI?
a widely used tool is the AI-102 certification (Designing and Implementing a Microsoft Azure AI Solution) covering Azure AI Services as a whole. For Azure OpenAI specifically, AI-3016 (Designing AI applications) and AZ-2005 (Azure OpenAI + Semantic Kernel) Applied Skills are the targeted certifications. Our pedagogical team guides you based on your profile and target role.
Is Azure knowledge required to follow Azure OpenAI Service training?
Yes, an Azure base is recommended: understanding of subscriptions, resource groups, basic networking, Azure AD, App Service or Container Apps. For profiles without Azure, we offer Azure Fundamentals (AZ-900) training as prerequisite. For developer profiles with another cloud, Azure learning is fast in parallel with Azure OpenAI labs.
Are your Azure OpenAI Service courses available for companies?
Yes, the entire Azure OpenAI Service catalogue is available in-house, in Geneva, Lausanne and in virtual classroom, with a programme adapted to your stack (Azure.NET, Python, Power Platform, Microsoft 365) and business use cases (document RAG, business copilot, PDF analysis, classification, translation, summary). Our team builds the specifications with you and organises sessions according to your calendar.
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Tel. 058 307 73 00
ITTA
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1227 Carouge, Suisse
Monday to Friday, from 8:30 am to 06:00 pm.
