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Explorer les contenus d’apprentissage

12 051 cours

Résultats

  • Technologie
    Intermédiaire

    Datadog: Performance Monitoring Tool

    Datadog: Performance Monitoring and APM for Cloud Environments is an intermediate-level course designed to equip DevOps engineers, site reliability engineers, and developers with comprehensive application performance monitoring skills. In today's complex distributed systems landscape, traditional monitoring approaches fail to provide the visibility needed for effective troubleshooting and optimization. This course teaches you to implement Datadog APM solutions that provide end-to-end request tracing, intelligent alerting, and business-impact analysis across cloud-native architectures. Through hands-on labs, real-world case studies, and practical implementation scenarios, you'll master agent deployment strategies, trace analysis techniques, and dashboard design principles that transform raw performance data into actionable insights. Whether you're monitoring microservices on Kubernetes, serverless functions, or hybrid cloud deployments, this course provides the expertise needed to build observability systems that improve user experience, reduce incident response time, and support data-driven performance optimization decisions.

    Langue d’origine

    Voir les détails: Datadog: Performance Monitoring Tool
  • Technologie
    Tous les niveaux

    Unreal Engine: Design Dynamic Particle Effects for Games

    This course is designed to equip learners with a deep, practice-oriented understanding of Unreal Engine’s Cascade particle system. Through a structured, multi-module approach, participants will construct foundational particle systems such as sprite emitters, implement GPU and mesh-based systems for performance and visual complexity, and integrate advanced emitters like beams, ribbons, and animated trails into real-time environments. Beginning with basic particle generation and manipulation, the course advances into high-performance GPU effects, curve-based control systems, and physics-enhanced emitters that react to skeletal animations and scene geometry. Learners will apply modular workflows, curve editors, vector fields, and material systems to develop expressive, stylized, or realistic particle effects for games, cinematics, and interactive media. By the end of the course, learners will be able to design, assemble, and optimize custom visual effects using Unreal Engine’s powerful particle tools, aligning artistic vision with technical execution.

    Langue d’origine

    Voir les détails: Unreal Engine: Design Dynamic Particle Effects for Games
  • Affaires
    Débutant

    Boost Staff Morale: Analyze and Create Engagement

    In today's demanding work environments, staff morale is not a luxury—it is a critical component of retention and success. This course, Boost Staff Morale: Analyze & Create Engagement, provides leaders and team members with the tools to move beyond guesswork and build a thriving, appreciative culture backed by data. You will learn to analyze the direct correlation between recognition and retention and use that evidence to design a high-impact, peer-to-peer recognition program from the ground up. Through a blend of case study analysis, hands-on design labs, and AI-powered coaching, you will master the cycle of implementation, measurement, and iteration. You will learn to define success metrics, select the right digital tools, and create clear participation guidelines. The course culminates in the creation of a comprehensive "Staff Engagement Toolkit," a complete proposal ready for implementation. You will leave this course prepared to launch a data-informed program that boosts morale, strengthens team bonds, and makes a measurable difference in workforce stability.

    Langue d’origine

    120 min
    Voir les détails: Boost Staff Morale: Analyze and Create Engagement
  • Technologie
    Débutant

    Utiliser LucidChart pour petites entreprises

    Ce projet vous permet de découvrir la plateforme LucidChart, outil en ligne de conception de diagrammes. Vous comprendrez les diverses fonctionnalités de la plateforme et serez capables de créer des diagrammes personnalisés et professionnels pour votre entreprise. Vous aurez toutes les compétences de base pour utiliser LucidChart et créer facilement et rapidement des diagrammes variés pour votre marque ou petite entreprise.

    Langue d’origine

    Voir les détails: Utiliser LucidChart pour petites entreprises
  • Technologie
    Avancé

    Securing, Monitoring, and Scaling Kubernetes Clusters

    The Advanced Kubernetes - Securing, Monitoring, and Scaling Kubernetes Clusters course is designed for individuals who want to gain expertise in securing, monitoring, and efficiently managing Kubernetes clusters while also understanding how to scale them effectively to meet application demands. This course will build upon the foundational knowledge obtained in the introductory course. It will guide learners through advanced security measures, assist in gaining expertise in cluster monitoring, and will help them to master techniques for seamless scalability. After completing this course, you should be able to: - Explain the role of Role-Based Access Control (RBAC) in Kubernetes security - Identify the importance of network policies in cluster security - Evaluate the effectiveness of RBAC and network policies in various scenarios - Identify key metrics and indicators for monitoring Kubernetes clusters - Compare and contrast popular monitoring tools for Kubernetes - Analyze monitoring data to detect and troubleshoot issues in the cluster - Explain the importance of resource quotas in managing cluster resources - Describe resource quotas for efficient resource allocation - Summarize the role of auto-scaling in managing cluster scalability

    Langue d’origine

    1080 min
    Voir les détails: Securing, Monitoring, and Scaling Kubernetes Clusters
  • Affaires
    Tous les niveaux

    Enterprise Project Planning and Scheduling

    Master enterprise project planning and management using Primavera's powerful suite of project management solutions. This course provides a comprehensive understanding of Primavera P6, Primavera EPPM, Primavera Unifier, portfolio management, project controls, contract administration, and enterprise analytics used by organizations to manage complex projects and programs. The course begins with the foundations of the Primavera ecosystem, introducing Primavera's evolution, enterprise value, product suite, and the capabilities of Primavera P6 Professional. Learners will understand how organizations use Primavera to support planning, scheduling, project governance, and execution. As the course progresses, learners explore Primavera P6 EPPM and portfolio management capabilities. Topics include enterprise integration, role-based access, portfolio analysis, resource optimization, and strategic project alignment across multiple projects and programs. Advanced modules focus on Primavera Unifier and project controls, including workflow automation, cost management, spend tracking, project governance, and operational controls. Learners will understand how enterprise organizations manage project costs, approvals, and performance through integrated systems. The course also covers contract management, system integration, compliance management, and the interaction between Primavera applications. Learners will gain insight into how enterprise tools support documentation, procurement, and project execution activities. Finally, learners explore advanced analytics, reporting, Oracle ecosystem integrations, mobile capabilities, and enterprise decision-support tools. What makes this course unique is its end-to-end coverage of enterprise project management technology, combining planning, portfolio management, project controls, contract administration, and analytics into one structured learning experience. By the end of the course, learners will be able to leverage enterprise project management tools to improve project visibility, resource utilization, governance, and strategic business outcomes.

    Langue d’origine

    Voir les détails: Enterprise Project Planning and Scheduling
  • Technologie
    Intermédiaire

    KI-Infrastruktur: Cloud-GPUs

    Möchten Sie mehr über die leistungsstarke Hardware hinter KI erfahren? Dieses Modul erklärt die Funktionsweise von leistungsoptimierten KI-Computern und zeigt Ihnen, warum sie so wichtig sind. Wir gehen dabei darauf ein, wie CPUs, GPUs und TPUs die Ausführung von KI-Aufgaben extrem beschleunigen, was die einzelnen Komponenten auszeichnet und wie deren Potenzial durch KI-Software optimal genutzt werden kann. Am Ende dieses Moduls wissen Sie genau, wie Sie die richtige GPU für Ihre KI-Projekte auswählen, und können so die optimale Lösung für Ihre KI-Workloads finden.

    Langue d’origine

    Voir les détails: KI-Infrastruktur: Cloud-GPUs
  • Technologie
    Intermédiaire

    Building High Quality User Experience Using Material UI

    A user experience is built upon a user’s experiences and interactions with a product, system, or service. Providing high quality digital experiences in a web application involves writing CSS codes which focus on display, navigation, actions, input, and communication. However, CSS has its own set of challenges which can be addressed using Material UI design library. This course will enable you to use CSS-in-JS and work with design systems like Material UI to quickly develop high quality React applications.

    Langue d’origine

    720 min
    Voir les détails: Building High Quality User Experience Using Material UI
  • Technologie
    Débutant

    基于Unity引擎的游戏开发基础

    随着互联网和智能手机的快速发展,《Angry Birds》(愤怒的小鸟)、《Temple Run》(神庙逃亡)等手游作品取得巨大成功,让独立开发者赚得第一桶金。移动平台的3D网络游戏开发成为趋势,优秀作品雨后春笋般涌现,Supercell Oy公司开发的《Clash of Clans》(部落冲突)与Blizzard Entertainment公司开发的《Hearth Stone》(炉石传说)风靡全球。网易、腾讯、巨人、恺英网络等业界著名公司也将游戏业务重心转向移动平台,市场涌现出莉莉丝、银汉科技等一大批新锐手游公司。 Unity引擎简单易用、功能丰富、具有跨平台等优秀特性,已成为业界最重要的开发工具。目前,全球大部分独立开发者与游戏工作室都选择Unity游戏引擎作为开发工具,快速开发高品质的手游作品。 《Unity游戏编程基础》课程主要讲述了如何使用Unity引擎开发移动端3D游戏。与课程内容同步,我们设计基于移动平台的第一人称3D射击游戏《慕课英雄》(MOOC HERO)。整个过程分为三个阶段:第一阶段,介绍物理系统、图形系统和音频,用于构建多米诺骨牌的场景;第二阶段,使用Unity的地形系统搭建游戏场景,将第一阶段的多米诺骨牌模型添加到游戏场景中,添加玩家与敌人角色,使用动画系统控制玩家与敌人角色动画的播放,编写Unity脚本实现玩家与敌人的行为和场景中的游戏逻辑;第三阶段,使用uGUI设计游戏交互界面,使用粒子系统与线渲染器实现玩家开枪效果和场景火焰效果,同时制作了场景中收集物以及游戏胜利与失败画面,最终将项目部署到移动平台。 此外,网络开发、人工智能、Shader(着色器)编程等Unity引擎高级功能将在本专项课程有关游戏编程的第二门课中进行学习。 通过本门课程的学习,你将理解Unity引擎的主要功能,学会利用Unity引擎开发移动平台的3D游戏,在入职游戏行业或独立游戏开发道路上迈出重要一步。

    Langue d’origine

    Voir les détails: 基于Unity引擎的游戏开发基础
  • Affaires
    Débutant

    Facebook Insights: Crack the Algorithm

    Gain a foundational understanding of how Facebook’s algorithm works and how it affects content visibility. This course breaks down key ranking signals, content distribution patterns, and strategies for staying agile as the algorithm evolves. You'll explore how different content types perform on the platform and learn to recognize the elements of algorithm-friendly posts. With expert guidance, real-world examples, and a hands-on content analysis activity, you’ll be prepared to create posts that consistently deliver value and reach.

    Langue d’origine

    45 min
    Voir les détails: Facebook Insights: Crack the Algorithm
  • Technologie
    Débutant

    游戏策划与设计

    此课程从游戏定位到内容创造、从研发实训到运营方法、从项目流程到团队创建,对游戏策划领域进行了全面系统的介绍,为学习者跨入游戏设计之门打下扎实基础。 课程结构紧凑、案例详实,通俗易懂。主讲教师对游戏开发中的概念设计、原型设计、规则设计、情节设计、关卡设计等内容进行解读,兼顾具体的关卡设计实践与游戏编辑工具使用实践,力图使学习者全面了解游戏设计原理,掌握游戏设计技能。

    Langue d’origine

    Voir les détails: 游戏策划与设计
  • Technologie
    Débutant

    Structurer des projets d’apprentissage automatique

    Vous allez apprendre à mener à bien un projet d’apprentissage automatique. Si vous souhaitez devenir un leader technique en IA et que vous savez comment orienter le travail de votre équipe, ce cours va vous montrer la marche à suivre. Une grande partie de ce contenu n’a jamais été enseignée ailleurs ; elle est tirée de mon expérience dans la construction et l’expédition de nombreux produits d’apprentissage profond. Cette formation comprend également deux "simulateurs de vol" qui vous permettront de pratiquer la prise de décision comme chef de projet d’apprentissage automatique. Cela vous fournira une "expérience industrielle" que vous ne pourriez seulement obtenir d’une autre manière qu’après des années d’expérience de travail d'apprentissage automatique (AA). Après 2 semaines, vous: - Comprendrez comment diagnostiquer les erreurs d’un système d’apprentissage automatique, et - Pourrez choisir les priorités sur les orientations les plus prometteuses dans la réduction d’erreurs - Comprendrez les paramètres AA complexes, tels que les ensembles ou jeux d'entraînement/tests inadéquats, et comparer et/ou surpasser les performances humaines - Saurez appliquer l’apprentissage, l’apprentissage de transfert et l’apprentissage multitâche de bout en bout J'ai vu des équipes perdre des mois, voire des années, à ne pas comprendre les principes qui sont enseignés dans ce cours. J’espère que cette formation de deux semaines vous fera donc gagner des mois. C’est un cours autonome ; vous pouvez le suivre aussi longtemps que vous avez des connaissances de base en apprentissage automatique. C’est le troisième cours de spécialisation en apprentissage en profondeur.

    Langue d’origine

    420 min
    Voir les détails: Structurer des projets d’apprentissage automatique