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12 051 cours

Résultats

  • Affaires
    Débutant

    The AI Value Playbook: Making AI Work in the Real World

    In this course, you'll learn how to leverage AI to drive business value and strategy. Gain insights into AI's role in business operations and how to implement it effectively. You'll be guided through real-world applications, industry perspectives, and actionable strategies to maximize AI’s impact. What sets this course apart is its focus on practical, business-driven results, ensuring that you understand how to implement AI in your organization. Designed for non-technical business leaders, this course is perfect for those seeking to unlock the potential of AI in their companies.

    Langue d’origine

    Voir les détails: The AI Value Playbook: Making AI Work in the Real World
  • Affaires
    Débutant

    Building a Business Presence With Facebook Marketing

    By the end of this project-based course, you will understand the basics of applying Digital Marketing on Facebook. The course will walk you through setting up digital marketing for a fictitious company, the Belltown Bakery in downtown Seattle. The course begins with setting up a fictitious business page on Facebook. You will then learn how to navigate your Facebook account, including setting up advertisements. You will then learn how to post content and boost a post. We will then cover tools available to engage with Facebook users and grow your audience on Facebook.

    Langue d’origine

    90 min
    Voir les détails: Building a Business Presence With Facebook Marketing
  • Technologie
    Débutant

    Tirer Parti des Listes Pour un Code Python Plus Simple

    À la fin de ce projet, vous serez en mesure de maîtriser les utilisations de la Liste sous python. Tout au long du projet, vous allez apprendre à coder une liste , apprendre à intégrer les structures conditionnelles dans une Liste ,arriver à intégrer la fonction Map dans une liste et finalement d'intégrer Les Listes Python avec les Dictionnaires.

    Langue d’origine

    60 min
    Voir les détails: Tirer Parti des Listes Pour un Code Python Plus Simple
  • Technologie
    Intermédiaire

    Object-Oriented Hierarchies in Java

    Object-Oriented Hierarchies in Java is the third of a series of courses in the Core Java Specialization. The Core Java Specialization is part of a series of programming specializations, derived from LearnQuest's private Java Bootcamps, designed to provide the skill set necessary to be hired as an IT developer using Java in many corporate environments. This course includes hands-on practice and will help you build on your knowledge of the Java language. After completing this course, you will have a deeper understanding of how to effectively implement and use inheritance and polymorphism in Java. To be successful in this course, you should have taken: - Course 1: Introduction to Java - Course 2: Introduction to Object-Oriented Programming with Java or have equivalent knowledge.

    Langue d’origine

    1500 min
    Voir les détails: Object-Oriented Hierarchies in Java
  • Technologie
    Avancé

    Advanced Tricentis Tosca Automation Strategies

    Advanced Strategies for Tricentis Tosca Automation Mastery is an advanced-level course designed to help experienced test automation engineers enhance their skills in using Tricentis Tosca for complex automation scenarios. As testing environments become more intricate, success depends on your ability to optimize automation workflows, integrate with CI/CD pipelines, and ensure robust, failure-resilient test execution. In this course, you'll learn to master advanced Tosca features such as distributed execution (TCI), API testing, database validation, and the implementation of recovery scenarios. Through hands-on activities, interactive discussions, and real-world case examples, you'll explore tools like retry mechanisms, error handling, and dynamic data management to build scalable and resilient automation processes. Whether you're streamlining automation pipelines or handling complex test environments, this course will help you develop strategies to optimize, scale, and recover from test failures—ensuring consistent, reliable test results in unpredictable conditions.

    Langue d’origine

    Voir les détails: Advanced Tricentis Tosca Automation Strategies
  • Affaires
    Débutant

    Financial Well-Being Foundations

    Every financial decision you make, from daily spending to long-term planning, is shaped by your unique relationship with money, risk, and opportunity. In this course, you'll explore how mindset, experience, and human capital influence financial behavior, especially when resources are scarce. By understanding what drives your choices, you'll develop the confidence to set meaningful goals and make intentional decisions that build lasting financial well-being. What if the biggest obstacle to your financial success isn't your income or your circumstances; it's the way you think about money? Many of us were never taught to examine the beliefs, biases, and blind spots that quietly steer our financial choices every day. This course changes that. You'll learn to identify what's really driving your decisions, challenge the patterns that hold you back, and build the self-awareness and skills to take real control of your financial future.

    Langue d’origine

    360 min
    Voir les détails: Financial Well-Being Foundations
  • Technologie
    Intermédiaire

    Sécuriser GKE avec Cloud Next Generation Firewall

    Ce cours, le dernier de la série "Configurer le pare-feu nouvelle génération", vous montre comment sécuriser votre infrastructure GKE à l'aide des stratégies Cloud Next Generation Firewall (NGFW). Vous apprendrez à utiliser les stratégies Cloud NGFW pour protéger les clusters et les pools de nœuds individuels.

    Langue d’origine

    Voir les détails: Sécuriser GKE avec Cloud Next Generation Firewall
  • Technologie
    Tous les niveaux

    Figma UI UX Design Essentials Pt.2: Layout & Components

    In Part 2 of the Figma UI UX Design Essentials series, you’ll take your design skills to the next level by learning how to build clean, flexible layouts and reusable components. With Dan Scott as your instructor, you’ll move beyond the basics and explore powerful features like Auto Layout, Constraints, and Component Variants—tools essential for designing responsive, scalable UI. You’ll also dive deeper into visual design, learning how to use color styles, text styles, grids, and effects to bring consistency and polish to your work. Along the way, you’ll complete hands-on class projects that mimic real design challenges, giving you practical experience you can use in client work or your portfolio. This course is ideal for learners who already understand Figma’s interface and want to start designing like a professional. What sets it apart is its step-by-step approach to demystifying more advanced tools—so even intimidating concepts like nested components and naming conventions feel approachable and manageable. Instructor bio: Daniel Walter Scott is a digital designer, Adobe Certified Instructor, and founder of Bring Your Own Laptop (BYOL). With over 14 years of teaching experience, he has helped thousands of learners worldwide master design and creative software across print, web, video, and now 3D. Daniel is an Adobe Certified Expert and Adobe Certified Instructor who combines industry expertise with a teaching style that’s practical, engaging, and memorable. Originally from New Zealand, Daniel has lived and taught across Australia, Ireland, and beyond—sharing his skills with a truly global creative community. He’s passionate about helping students build real-world skills they can carry into their careers and creative projects. When he’s not teaching, Daniel enjoys life with his Irish wife and kids. He brings this personal, down-to-earth perspective into his courses, making complex tools feel approachable and fun to learn.

    Langue d’origine

    Voir les détails: Figma UI UX Design Essentials Pt.2: Layout & Components
  • Technologie
    Débutant

    AI for Executives: The Basics

    AI for Executives: The Basics gives managers a practical, non-technical introduction to artificial intelligence and machine learning for business decision-making. You’ll learn how AI fits into executive strategy, what ML models can and can’t do, and how to lead data-driven initiatives that create measurable value. Starting with the fundamentals, the course explains algorithms vs. models, core ML tasks, and the lifecycle for building and governing solutions. You’ll then design a data strategy—covering data quality, privacy, and responsible use—before applying techniques such as regression, decision trees, and modern large language models (LLMs) to real executive-level use cases. Finally, you’ll put it together by planning AI pipelines, evaluating model performance and non-functional properties, and knowing when to customize or reuse off-the-shelf models. Hands-on assignments use familiar tools and require no coding. By the end, you’ll be able to map business problems to the right AI approach, communicate with technical teams, and build an informed roadmap for adopting AI across your organization.

    Langue d’origine

    Voir les détails: AI for Executives: The Basics
  • Affaires
    Tous les niveaux

    Investment Banking M&A Modeling Techniques

    Learn how to analyze mergers and acquisitions, apply valuation techniques, and build financial models used in real-world corporate finance and investment banking transactions. This course provides practical skills in M&A valuation, deal structuring, forecasting, and shareholder impact analysis using industry-relevant financial modeling techniques. The course begins with the foundations of mergers, acquisitions, and restructuring, helping learners understand strategic motivations, transaction lifecycles, and key components involved in successful M&A execution. Learners will also explore how risk, return, and cost of capital influence valuation and investment decisions. As the course progresses, learners focus on valuation methodologies including discounted cash flow (DCF), relative valuation, growth models, and asset-based approaches. The course also introduces financial modeling foundations such as ratio analysis, forecasting drivers, and financial statement construction. Advanced modules cover valuation execution, pricing strategies, synergy analysis, EPS accretion/dilution, shareholder impact evaluation, and advanced financial forecasting. Learners will build projected income statements, balance sheets, and cash flow models while applying accounting adjustments and valuation assumptions used in professional M&A transactions. What makes this course unique is its integrated, hands-on approach that combines strategic M&A concepts with practical financial modeling workflows and advanced valuation analysis. By the end of the course, learners will be able to confidently evaluate acquisition opportunities, structure deals, build professional M&A models, and support strategic financial decisions in investment banking and corporate finance environments.

    Langue d’origine

    Voir les détails: Investment Banking M&A Modeling Techniques
  • Affaires
    Débutant

    Crea un mapa mental interactivo usando Canva

    Al final de este proyecto, usted creará un mapa mental interactivo que será compatible con equipos, organizaciones empresariales o con el público al que usted quiera comercializar. Usted podrá incorporar un esquema de colores, imágenes y otros elementos de diseño que atraerá su público. Usted aprenderá a incorporar tanto diseños cómo elementos audiovisuales y acústicos su mapa mental. Al final preparará su mapa mental para compartir y publicarlo incorporando enlaces URL. Este proyecto incluirá una introducción a Mindmaps en Canva, un uso para Canva que no es tan conocido, es muy útil para crear ideas y estrategias y efectivamente comunicarlas. Usted también aprenderá cómo agregar funciones interactivas a su mapa mental . Nota: Este curso es de mayor utilidad para estudiantes que residen en la región de América del Norte. Actualmente, estamos trabajando para proporcionar la misma experiencia en otras regiones.

    Langue d’origine

    Voir les détails: Crea un mapa mental interactivo usando Canva
  • Technologie
    Intermédiaire

    Explainable Deep Learning Models for Healthcare

    This course will introduce the concepts of interpretability and explainability in machine learning applications. The learner will understand the difference between global, local, model-agnostic and model-specific explanations. State-of-the-art explainability methods such as Permutation Feature Importance (PFI), Local Interpretable Model-agnostic Explanations (LIME) and SHapley Additive exPlanation (SHAP) are explained and applied in time-series classification. Subsequently, model-specific explanations such as Class-Activation Mapping (CAM) and Gradient-Weighted CAM are explained and implemented. The learners will understand axiomatic attributions and why they are important. Finally, attention mechanisms are going to be incorporated after Recurrent Layers and the attention weights will be visualised to produce local explanations of the model.

    Langue d’origine

    360 min
    Voir les détails: Explainable Deep Learning Models for Healthcare