12 053 cours
在本课程“Google Kubernetes Engine 架构设计：基础知识”中，您将了解 Google Cloud 的概况和原理，然后学习如何创建和管理软件容器，以及了解 Kubernetes 的架构。 这是“Google Kubernetes Engine 架构设计”系列课程的第一门课程。完成本课程后，请报名参加“Google Kubernetes Engine 架构设计：工作负载”课程。
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À la fin de ce projet, vous aurez toutes les compétences de base pour créer du contenu Twitter pour sensibiliser et informer votre public en utilisant la plateforme Canva, outil en ligne de création et d’édition de visuels Marketing. Vous serez capable de créer du contenu graphique personnalisable en utilisant les divers outils de conception, couleurs et graphiques proposés par Canva. Ce projet est destiné aux débutants, aux personnes qui n’ont aucune connaissance en graphisme et qui souhaiteraient contribuer à un monde meilleur. Il est idéal pour créer du contenu graphique professionnel pour Twitter en utilisant différents modèles proposés par Canva.
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This short course is designed for anyone seeking to unlock the full potential of Tableau Public, a leading data visualization tool. Starting from the fundamentals, you will progress through each module, gaining hands-on experience in importing, exploring, and visualizing data. From creating basic visualizations to designing interactive dashboards and compelling stories, this course covers it all. You will explore real-time data updates, ensuring adaptability, and master the art of storytelling in data visualization, crafting effective Tableau stories with customization and adherence to best practices. Practical exercises based on real-world scenarios throughout the course ensure the knowledge you gain isn’t just theoretical but aligns with the skills employers are looking for. Start building the foundation to harness the power of Tableau for effective data visualization and analysis today.
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Approximation algorithms, Part 2 This is the continuation of Approximation algorithms, Part 1. Here you will learn linear programming duality applied to the design of some approximation algorithms, and semidefinite programming applied to Maxcut. By taking the two parts of this course, you will be exposed to a range of problems at the foundations of theoretical computer science, and to powerful design and analysis techniques. Upon completion, you will be able to recognize, when faced with a new combinatorial optimization problem, whether it is close to one of a few known basic problems, and will be able to design linear programming relaxations and use randomized rounding to attempt to solve your own problem. The course content and in particular the homework is of a theoretical nature without any programming assignments. This is the second of a two-part course on Approximation Algorithms.
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Software Development Life Cycle (SDLC) is the process of developing software through planning, requirement analysis, design, implementation, testing, and maintenance. This course focuses on the implementation and testing phases of SDLC, and you will examine different software development processes for large software systems development, and understand the strengths (pros) and weaknesses (cons) of different software development processes. You will also encounter defensive programming techniques to prevent software bugs during implementation, and learn how to test your system thoroughly using different types of test cases. Basic object-oriented programming (OOP) concepts are required for topics covered in defensive programming and object-oriented testing. Implementation is driven by the UML models derived from requirement analysis. It is recommended to take the course "Software Engineering: Modeling Software Systems using UML" before attempting this course, but it is not a hard requirement.
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Master ASC 230 Statement of Cash Flow reporting with practical US GAAP accounting applications. Learn how to classify, prepare, reconcile, and analyze cash flow statements with confidence. This course provides a comprehensive understanding of ASC 230 cash flow reporting standards under US GAAP. Learners will explore operating, investing, and financing activities, apply both direct and indirect cash flow methods, and prepare statement of cash flow worksheets using practical accounting scenarios. The course also covers consolidated cash flow statements, reconciliation techniques, installment sales, depreciation adjustments, financing transactions, and updated ASC 230 reporting guidance. Through transaction-based examples and structured workflows, learners will strengthen financial reporting accuracy and improve analytical decision-making skills. By the end of the course, learners will be able to confidently prepare and evaluate statement of cash flows for business reporting, accounting compliance, audit preparation, and financial analysis roles.
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This course provides you with the opportunity to learn about OS security. It examines both Windows and Linux operating systems. The career skills acquired in the course introduce the understanding of OS operating system security and its importance in operating system support. At the end of the course, you will be able to: - Explore operating system firewalls. - Demonstrate the use of Operating System logs. - Explore Operating system permissions. Software requirements: Windows and Linux
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Welcome to Fundamentals of Data Warehousing, the third course of the Key Technologies of Data Analytics specialization. By enrolling in this course, you are taking the next step in your career in data analytics. This course is the third of a series that aims to prepare you for a role working in data analytics. In this course, you will be introduced to many of the core concepts of data warehousing. You will learn about the primary components of data warehousing. We’ll go through the common data warehousing architectures. The hands-on material offers to add storage to your cloud environment and configure a database. This course covers a wide variety of topics that are critical for understanding data warehousing and are designed to give you an introduction and overview as you begin to build relevant knowledge and skills.
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This course will be useful for anyone who might need to perform project management activities in their job roles on either a formal or informal basis, or any individual who wants to build upon their current project management knowledge to be more productively involved on a project team. In this course, you'll define project management basics and identify influencing factors. You'll also identify project stakeholders, authorize a project, and identify the project scope. Then, you'll develop a Work Breakdown Structure (WBS), identify activity resources, estimate time, plan an adaptive project, develop a project schedule, and create an initial release plan. This is the first course in a multi-course Specialization. All of the courses in this Specialization require that you have a recent version of Microsoft Word and Excel installed in order to open the course data files. The course setup instructions provided in the first module of this course go into more detail about the hardware and software requirements.
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This comprehensive course empowers learners to analyze, implement, and optimize Python-based solutions using built-in modules, file operations, and basic graphical interfaces. Structured into three progressively layered modules, it begins with foundational knowledge on Python modules and system environment configuration. Learners will examine how modules interact with sys.path, explore reusable components through packages, and utilize command-line arguments for automation. The second module deepens understanding by integrating powerful utilities such as heapq, random, and time, and guiding learners to construct and apply regular expressions for dynamic data processing. In the final module, learners will manipulate files using different I/O strategies and develop simple GUI-based interfaces using Python’s standard libraries. This course is ideal for developers, data analysts, and system integrators looking to strengthen their core Python capabilities for practical, real-world applications. By the end of the course, learners will have the ability to: Differentiate between modules, packages, and system configurations. Apply key built-in utilities to solve timing, randomness, and pattern-matching problems. Develop scripts that read, write, and process files efficiently. Design entry-level GUI applications and interface them with system-level operations.
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AI 추론은 학습된 머신러닝 모델로 학습된 패턴을 적용하여 처음 접하는 새로운 데이터로 예측을 수행하는 프로세스입니다. 이 과정은 Cloud Run에 AI 추론 서비스를 빠르게 배포하는 데 관심이 있는 개발자, 데이터 과학자, ML 엔지니어를 대상으로 설계되었습니다. 클라우드 기반 서버리스 애플리케이션 배포 솔루션에는 익숙하지만 Google Cloud 서버리스 제품을 사용하여 AI 추론을 실행해 본 경험이 없는 사용자에게 유용한 과정입니다. 이 과정에는 GPU를 사용해 AI 추론 모델을 배포하고 생성형 AI 앱을 데이터 스토리지 서비스와 통합하는 예시가 포함되어 있습니다.
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En el acelerado ambiente empresarial de hoy en día, a los empleados de todo nivel se les pide que se encarguen cada vez de más tareas, que cumplan más plazos, que asuman más responsabilidad y que se adapten a más innovación. Además de esos retos está la cuestión de la gran diversidad de personas con las que uno trabaja, y que continuamente están cambiando, por lo que es necesario saber manejar las diferencias generacionales, culturales, de sexo y de edad. La comunicación, tanto verbal como no verbal, constituye la base de todo lo que hacemos y decimos y es trascendental en el entorno laboral del siglo XXI. Afortunadamente, es posible aprender a comunicarse, y con la instrucción adecuada uno puede mejorar. El propósito de este curso es sensibilizar a los alumnos sobre la importancia de la comunicación en el lugar de trabajo y enseñarles nuevas destrezas interpersonales, a fin de que se vuelvan en general mejores comunicadores. Estos son algunos de los temas tratados: proceso y funciones de la comunicación, patrones conductuales, percepción de la realidad, señales verbales y no verbales, confianza, asertividad, tacto, control de la ira, críticas y observaciones positivas, resolución de conflictos, creación de equipos, liderazgo, entrevistas, empleo eficaz de la tecnología (correo electrónico, Skype, mensajes de texto, etc.) para comunicarse.
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