Tous les cours de Ingénieur

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AI-900: Microsoft Azure AI Fundamentals (ESI)
This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.
 
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AZ-2007: Accelerate app development by using GitHub Copilot (ESI)
Learn how to accelerate app development by using GitHub Copilot and GitHub Copilot Chat in a Visual Studio Code environment. Prerequisites An active subscription for GitHub Copilot is required for either a personal GitHub account or a GitHub account managed by an organization or enterprise. One or more years of code develop experience is recommended. Some experience developing C# applications in Visual Studio Code with the C# Dev Kit extension is recommended.
 
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GitHub Copilot Fundamentals - Understand the AI pair programmer (ESI)
Explore the fundamentals of GitHub Copilot and its potential to enhance productivity and foster innovation for both individual developers and businesses. Discover how to implement it within your organization and unleash its power for your own projects. In this learning path, you'll: Gain a comprehensive understanding of the distinctions between GitHub Copilot Individuals, GitHub Copilot Business, and GitHub Copilot Enterprise. Understand how to utilize GitHub Copilot across various environments responsibly and securely. Learn advanced functionalities of GitHub Copilot and how to best use them. Prerequisites Basic understanding of GitHub fundamentals
 
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AI-102: Azure AI Engineer (ESI)
AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. The course will use C# or Python as the programming language.Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure.
 
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AI-3003: Build a natural language processing solution with Azure AI Services (ESI)
Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications. Before starting this learning path, you should already have: Familiarity with Azure and the Azure portal. Experience programming with C# or Python. If you have no previous programming experience, we recommend you complete the Take your first steps with C# or Take your first steps with Python learning path before starting this one.
 
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AI-3002: Create document intelligence solutions with Azure AI Document Intelligence (ESI)
In this learning path, discover how Azure AI Document Intelligence solutions can enable you to capture data from typed or hand-written forms. Learn how to build a solution for your custom form types and integrate that solution into an Azure Cognitive Search pipeline. You'll learn how to: Design a solution that analyzes your business forms by using Azure AI Document Intelligence. Create a solution that analyzes common documents by using Document Intelligence. Create a solution that analyses different custom form types by using Document Intelligence. Include an Azure AI Document Intelligence service as a custom skill in an Azure AI Search pipeline.
 
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Get started with Azure OpenAI Service (ESI)
This module provides engineers with the skills to begin building an Azure OpenAI Service solution. Learning objectives By the end of this module, you'll be able to: Create an Azure OpenAI Service resource and understand types of Azure OpenAI base models. Use the Azure AI Studio, console, or REST API to deploy a base model and test it in the Studio's playgrounds. Generate completions to prompts and begin to manage model parameters. Prerequisites Familiarity with Azure and the Azure portal. An understanding of generative AI.
 
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AI-3016: Develop generative AI apps in Azure AI Foundry portal (ESI)
Generative Artificial Intelligence (AI) is becoming more accessible through easy-to-use platforms like Azure AI Foundry. Learn how to build generative AI applications that use language models with prompt flow to provide value to your users. Prerequisites Before starting this module, you should be familiar with fundamental AI concepts and services in Azure. Consider completing the Get started with artificial intelligence learning path first.
 
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Bonheur au travail
Qu'est-ce qui vous attend ?  Une session d'inspiration baptisée "Améliorer le bonheur au travail", animée par Griet Deca. Cette dame inspirante partagera son énergie positive dévorante et nous amènera à réfléchir aux moyens d'augmenter notre bonheur au travail.
 
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Coopération optimale
Qu'est-ce qui vous attend ?  Une session d'inspiration baptisée "Le pouvoir d'une coopération optimale", animée par Kim Hilgert. Cette dame inspirante partagera son énergie positive dévorante et nous amènera à réfléchir aux moyens de parvenir ensemble à une coopération optimale.
 
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FinOps Essentials for Cloud Deployments (LinkedIn Learning)
Durée de la formation : 2,2hFinOps sits at the intersection of finance and cloud operations, where cross-functional teamwork is essential for success. When it comes to cloud computing, FinOps managers are responsible for overseeing cloud costs and building teams across engineering, product, finance, and more. In this course, instructor David Linthicum gives an overview of the basics of cloud FinOps, collaborating with ever-changing systems, and how to motivate data-driven financial decision-making to optimize business value. Discover the key objectives and underpinnings of FinOps so you can get ready to start crafting your own plan. Learn how to develop an effective plan for cloud deployment, while ensuring that you include everyone who needs to be involved in the process. Get tips from David on cost optimization, cost analysis and forecasting, important automation considerations, compliance, and governance. Along the way, review core cloud FinOps concepts in action by exploring practical case studies drawn from cloud computing and enterprise management.Topics include: Explain why businesses adopt FinOps. Identify reasons for cloud cost overages rather than savings. Review the various types of clouds and their popularity in business use Describe the goal of using cloud spending optimization technology. Differentiate between various FinOps technology tools. Define organizational roles in FinOps. Ce cours n´est disponible qu´en anglais. Si ce n´est pas un problème pour vous, soumettez votre demande. Demande de formation
 
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Trajet Lead Engineers I&S
Compétences soft skills pour ingénieurs. Accessible en interne suite à un entretien de sélection.
 
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Learning Path: Getting Started with Linux (LinkedIn Learning)
Durée de la formation : 5,73h Ce cours n'est disponible qu'en anglais. Si ce n'est pas un problème pour vous, soumettez votre demande. Demande de formation
 
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SQL Tips and Tricks for Data Science (LinkedIn Learning)
Get Ben Sullins's 12 must-have SQL techniques for data science pros—engineers, DevOps, data miners, programmers, and other systems specialists. Ben's tips focus on practical applications of SQL queries for data analysis. Learn how to retrieve data, join tables, calculate rolling averages and rankings, work with dates and times, use window functions, aggregate and filter data, and much more. Each tip is short, relevant, and up to date with current industry best practices—making this the perfect course for busy analysts who normally struggle to find time to build their skills. Topics include: Ce cours n´est disponible qu´en anglais. Si ce n´est pas un problème pour vous, soumettez votre demande. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Demande de formation
 
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MS365: Teams
Découvrez la puissance de Microsoft Teams, l’application de collaboration conçue spécialement pour le travail hybride. Avec Teams, vous et votre équipe restez informés, organisés et connectés au même endroit. Discutez avec vos collègues, collaborez dans des espaces dédiés et utilisez des applications pratiques pour augmenter votre productivité. Demande de formation
 
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Comment exploiter pleinement Ms Teams ?
En 6 modules, vous obtiendrez de nombreuses informations et conseils sur la manière de tirer le meilleur parti de Ms Teams.Une utilisation intelligente de Ms Teams permet une collaboration plus fluide entre collègues, moins de communications inutiles (dans le chat, les canaux Teams et les réunions) et des informations mieux structurées.Les modules vous montrent également comment garder une vue d'ensemble du travail et organiser plus facilement votre journée de travail. Vous apprenez à utiliser Teams de manière optimale et à éviter les problèmes classiques d'Outlook (boîtes de réception débordantes, info-besitas, mauvais classement...) en passant à Teams.À l'aide d'exemples reconnaissables et de situations de travail concrètes, Gunnar Michielssen explique :     quand utiliser les différents outils (chat, messages dans les canaux, vidéoconférence) ;     comment maîtriser le nombre de réunions d'équipe et les rendre plus efficaces ;     quelles applications et quels onglets dans les canaux sont nécessaires pour faire de Teams un véritable succès ;     comment fonctionnent les trois applications indispensables dans Teams (Planner, OneNote in Teams et le Channel Calendar)     comment travailler sans être dérangé (notifications et statut)     comment maîtriser sa liste de tâches Demande de formation
 
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Introduction to Cloud Computing
Cette formation contient trois modules, dispensés par les trois acteurs majeurs du Cloud Computing : Amazon, Google et Microsoft.Amazon: Introduction aux services Web d'Amazon    Résumer les avantages d'AWS    Décrire les différences entre la livraison à la demande et les déploiements cloud    Résumer le modèle de tarification par répartitionGoogle: Cette section identifie certains des principaux avantages de l'utilisation de Google Cloud. C'est ici que nous présentons les composants de l'infrastructure réseau de Google et explorons les différences entre l'infrastructure en tant que service (IaaS) et la plate-forme en tant que service (PaaS).Microsoft: Ce module explique les composants d'infrastructure de base de Microsoft Azure. Vous découvrirez l'infrastructure physique, la gestion des ressources et aurez la possibilité de créer une ressource Azure. Recommended by Smals Experts // Demande de formation
 
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MS365: Getting started with Microsoft 365
Cette formation offre un guide de démarrage rapide pour Microsoft 365, avec des instructions pour l’utilisation de base, la collaboration, le travail dans Microsoft Teams, le travail à partir de n’importe quel endroit et l’essai des fonctionnalités intéressantes de Microsoft 365. Demande de formation