Explorer les contenus d’apprentissage

Résultats

• Technologie

  Avancé

  Serverless Data Processing with Dataflow: Operations

  In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model. We will examine tools and techniques for troubleshooting and optimizing pipeline performance. We will then review testing, deployment, and reliability best practices for Dataflow pipelines. We will conclude with a review of Templates, which makes it easy to scale Dataflow pipelines to organizations with hundreds of users. These lessons will help ensure that your data platform is stable and resilient to unanticipated circumstances.

  Langue d’origine

  1260 min

  Voir les détails: Serverless Data Processing with Dataflow: Operations
• Affaires

  Débutant

  AI Fluency: Framework & Foundations

  This course builds AI fluency through the 4D Framework, four interconnected competencies (Delegation, Description, Discernment, and Diligence) that enable more effective, efficient, ethical, and safe human-AI collaboration. Regardless of your background or experience level, you will develop a practical foundation for working with AI that lasts beyond any single tool or model. Participants will learn how to identify the right tasks to delegate to AI, describe those tasks clearly, evaluate AI outputs with discernment, and apply diligence to ensure responsible use. The result is a durable skillset for navigating AI collaboration across creative, business, scientific, and educational contexts. Developed through a long-standing partnership between Anthropic and professors Rick Dakan (Ringling College of Art and Design) and Joseph Feller (University College Cork), this course is grounded in research exploring how AI tools are transforming real-world processes. The framework has already informed undergraduate and postgraduate courses, staff training initiatives, and community outreach, and is now available as an open online course for anyone looking to build confident, responsible AI collaboration skills.

  Langue d’origine

  Voir les détails: AI Fluency: Framework & Foundations
• Affaires

  Débutant

  Generative AI in Marketing

  Discover the transformative potential of Generative AI in the marketing landscape. This course offers an introduction to generative AI and explores its unique capabilities in the context of marketing. Learn to create compelling visual content and enhance customer engagement through advanced AI tools. Dive into the intricacies of training generative AI models and understand the pivotal role of human input in optimizing AI-driven strategies. Learners will explore the limitations of generative AI tools, such as chatbots, and master the art of prompting and iterating with these systems. The course also covers the practical application of generative AI in customer acquisition and engagement, providing insights into evaluating its effectiveness. This course also covers discussion of the legal debates surrounding generative AI, the concept of fair use, and potential brand concerns. By the end of this course, you will be equipped with the knowledge and skills to harness generative AI responsibly and effectively for marketing success.

  Langue d’origine

  1260 min

  Voir les détails: Generative AI in Marketing
• Technologie

  Avancé

  SQL Data Quality, Security, and Governance

  You'll develop the critical skills to ensure data reliability, security, and strategic value in modern organizations. Through hands-on SQL projects, you'll implement automated data quality frameworks, apply security controls to protect sensitive information, and create data-driven strategies for infrastructure evolution. You'll build monitoring dashboards, conduct security audits against industry standards, and develop cost-benefit models for strategic decision-making. This comprehensive approach integrates technical data engineering with business strategy, preparing you to drive organizational success through trustworthy, well-governed data systems that meet compliance requirements.

  Langue d’origine

  Voir les détails: SQL Data Quality, Security, and Governance
• Technologie

  Tous les niveaux

  Machine Learning: Regression

  Case Study - Predicting Housing Prices In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...). This is just one of the many places where regression can be applied. Other applications range from predicting health outcomes in medicine, stock prices in finance, and power usage in high-performance computing, to analyzing which regulators are important for gene expression. In this course, you will explore regularized linear regression models for the task of prediction and feature selection. You will be able to handle very large sets of features and select between models of various complexity. You will also analyze the impact of aspects of your data -- such as outliers -- on your selected models and predictions. To fit these models, you will implement optimization algorithms that scale to large datasets. Learning Outcomes: By the end of this course, you will be able to: -Describe the input and output of a regression model. -Compare and contrast bias and variance when modeling data. -Estimate model parameters using optimization algorithms. -Tune parameters with cross validation. -Analyze the performance of the model. -Describe the notion of sparsity and how LASSO leads to sparse solutions. -Deploy methods to select between models. -Exploit the model to form predictions. -Build a regression model to predict prices using a housing dataset. -Implement these techniques in Python.

  Langue d’origine

  2340 min

  Voir les détails: Machine Learning: Regression
• Technologie

  Débutant

  Sorumlu Yapay Zeka: Google Cloud ile Yapay Zeka İlkelerinin Uygulanması

  Kurumsal yapay zeka ve makine öğreniminin kullanımı artmaya devam ettikçe, bunu sorumlu bir şekilde oluşturmanın önemi de artıyor. Sorumlu yapay zeka hakkında konuşmanın, onu uygulamaya koymaktan çok daha kolay olabilmesi burada bir zorluk oluşturmaktadır. Kuruluşunuzda sorumlu yapay zekayı nasıl işlevsel hale getireceğinizi öğrenmekle ilgileniyorsanız, bu kurs tam size göre. Bu kurs, Google Cloud'un sorumlu yapay zeka yaklaşımını nasıl uyguladığını derinlemesine inceleyerek, kendi sorumlu yapay zeka stratejinizi oluşturmanız için size kapsamlı bir çerçeve sunuyor.

  Langue d’origine

  Voir les détails: Sorumlu Yapay Zeka: Google Cloud ile Yapay Zeka İlkelerinin Uygulanması
• Technologie

  Débutant

  Google Cloud Fundamentals: Core Infrastructure - Yкраїнська

  Курс "Знайомство з Google Cloud: основна інфраструктура" охоплює важливі поняття й терміни щодо використання Google Cloud. Переглядаючи відео й виконуючи практичні завдання, слухачі ознайомляться з різними сервісами Google Cloud для обчислень і зберігання даних, а також важливими ресурсами й інструментами для керування правилами. Крім того, вони зможуть їх порівнювати.

  Langue d’origine

  Voir les détails: Google Cloud Fundamentals: Core Infrastructure - Yкраїнська
• Affaires

  Intermédiaire

  Strategic Foundations of Sales Negotiation

  Immerse yourself in the essential foundations of sales negotiation—combining classic frameworks, modern psychological insights, digital fluency, and multi-regional tactics. This course equips you with the tools to analyze, prepare, and launch successful negotiations across virtual and in-person environments. Develop your ability to research and plan negotiation strategies, build stakeholder buy-in, and communicate complex value propositions with clarity. Whether working in India, the USA, or engaging Spanish-speaking clients, you’ll master strategies proven to deliver win-win results in today’s business climate. Learners leave ready to build rapport, overcome barriers, and steer negotiations toward positive, lasting outcomes.

  Langue d’origine

  540 min

  Voir les détails: Strategic Foundations of Sales Negotiation
• Général

  Tous les niveaux

  紅樓夢(The Red Chamber Dream)

  這門課是對中國小說經典《紅樓夢》的分析與詮釋，著重於認識讀者本身與經典間的關係，並從作者的時代背景與社會階層著手，重新剖析這部人所共愛、人各有所擁戴的經典之作。

  Langue d’origine

  Voir les détails: 紅樓夢(The Red Chamber Dream)
• Affaires

  Débutant

  Создаем дизайны для социальных сетей с помощью Canva

  В этом проекте вы научитесь создавать дизайны для социальных сетей с помощью Canva на примере магазина сумок, риелтора и супермаркета. Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов.

  Langue d’origine

  Voir les détails: Создаем дизайны для социальных сетей с помощью Canva
• Technologie

  Tous les niveaux

  3D Design in Blender: Learn, Create & Build

  By the end of this course, learners will be able to navigate Blender’s interface confidently, manage collections and workspaces efficiently, apply transformations to objects, create simple 3D scenes, and refine models using essential tools like bevel and knife cuts. They will also be able to apply shaders and materials to bring realism to their designs. This beginner-friendly Blender course is designed for absolute newcomers to 3D modeling who want to build practical skills step by step. Learners will start by installing Blender, exploring its interface, and mastering basic navigation. The course then progresses to creating simple scenes, adding and transforming objects, and understanding how cameras and lighting shape a 3D environment. In the advanced section, students will dive into organizing their workflow with collections, customizing workspaces, applying shaders, and practicing core modeling tools that elevate creativity and precision. What makes this course unique is its clear module structure, practical demonstrations, and progressive learning path that ensures even beginners can create, edit, and organize professional-quality 3D models with confidence.

  Langue d’origine

  Voir les détails: 3D Design in Blender: Learn, Create & Build
• Affaires

  Tous les niveaux

  Securing Investment Returns in the Long Run

  In this course, you will learn about the famous dichotomy between active and passive investing, how to appropriately measure and analyze investment performance and what the future trends in the investment management industry are. You will first learn about absolute and relative performance, risk-adjusted returns and how to decompose investment performance. The focus will then shift to the two main categories of investment vehicles, active and passive funds, and what they entail in terms of expected performance. Finally, you will explore the worlds of sustainable finance, neurofinance and fintech, three areas of research that will shape the future of the investment management industry. You will also benefit from the insights of experts from UBS, our corporate partner, on the practical implementation of the various concepts we will develop in this course.

  Langue d’origine

  480 min

  Voir les détails: Securing Investment Returns in the Long Run