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  • Technology
    Beginner

    AI and Climate Change

    In this course, you’ll start with a review of the mechanisms behind anthropogenic climate change and its impact on global temperatures and weather patterns. You will work through two case studies, one using time series analysis for wind power forecasting and another using computer vision for biodiversity monitoring. Both case studies are examples of where AI techniques can be part of the solution when it comes to the mitigation of and adaptation to climate change.

    View details: AI and Climate Change
  • Business
    All levels

    Insurance Training: Underwriting, Claims & IRDAI

    Master insurance operations, underwriting, claims, and IRDAI compliance in one complete course. Build job-ready skills with real-world insurance workflows and practical concepts. This course provides a comprehensive understanding of the general insurance lifecycle, from product filing and regulatory compliance to underwriting, risk management, and claims processing. Learners will explore how insurers design products, assess risks, and ensure compliance with IRDAI regulations. You will gain hands-on knowledge of policy documentation, endorsements, claims procedures, and reinsurance strategies, helping you understand how insurance companies operate in real-world scenarios. The course also emphasizes customer protection and grievance handling, ensuring a well-rounded industry perspective. Designed for beginners and aspiring professionals, this course bridges the gap between theory and practice with structured modules, real-world examples, and assessment-driven learning. By the end of the course, you will be equipped to confidently apply insurance concepts in underwriting, compliance, and operational roles.

    View details: Insurance Training: Underwriting, Claims & IRDAI
  • Business
    Intermediate

    Abrechnung und Zahlung auf Pinterest

    Am Ende dieses Projektes wirst du alles bezüglich Abrechnung und Zahlung auf Pinterest gelernt haben. Du wirst gelernt haben deine Abrechnungsinformation einzurichten und welche verschiedene Arten von Zahlungsmöglichkeiten Pinterest anbietet. Du wirst ebenfalls gelernt haben wie du einen Zahlungsplan einstellst und benutzt. Obwohl Pinterest dich nicht direkt für Webseitenbesuche bzw. Pinbesuche bezahlt, wirst du einige alternative Möglichkeiten kennenlernen mit Pinterest Geld zu verdienen.

    View details: Abrechnung und Zahlung auf Pinterest
  • Business
    Beginner

    ما هي الإدارة ولماذا نحتاج إليها |What and Why of Management

    الإدارة (Management) من أهم الأنشطة في أية مؤسسة (Organization)، إذ أن الإدارة بطريقة صحيحة وسيلة مهمة لنجاحها وإهمال ذلك قد يؤدي إلى فشل الشركة وانهيارها، لذلك فإن الشركات بحاجة مستمرة ومُلحة لوجود فريق لإدارة الأعمال (Management Team) على قدر عالٍ من الفاعلية (Effectiveness) والكفاءة (Efficiency) من أجل تحقيق الأهداف (Goals) العامة. هذه الدورة هي دورة تمهيدية؛ فهي تلقي الضوء على أساسيات الموضوع بشكل عام بهدف التعريف به وبمحاوره الأساسية التي يجب الإلمام بها. إذا كنت من المهتمين بفهم الإدارة والحاجة إليها، أو كان مجال عملك يتطلب توظيف ذلك في سياق عملك، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر. حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: شرح مفهوم الإدارة بالأهداف، التعرف على "فريدريك تايلور" وعلاقته بالإدارة، شرح الفرق بين المدير والقائد، توضيح أبعاد إدارة الأعمال، تبيان المستويات الإدارية.

    View details: ما هي الإدارة ولماذا نحتاج إليها |What and Why of Management
  • Technology
    Intermediate

    Software Engineering: Software Design and Project Management

    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 project planning and analysis/design phases of SDLC, and you will learn about different architectural patterns and design patterns to solve common problems in software design. It covers project planning, scheduling, and cost estimating, which are the principal tasks of software project managers. Basic object-oriented programming (OOP) concepts are required to understand different design patterns covered in this course. System design 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.

    View details: Software Engineering: Software Design and Project Management
  • Technology
    Beginner

    UiPath Automation Explorer

    Offered by UiPath in partnership with Coursera, the Automation Explorer course is designed to help you build automation development skills from the ground up—no prior programming or RPA experience required. Start your journey by exploring the UiPath Business Automation Platform and creating your first automation in UiPath Studio. Learn to work with variables, arguments, and control flow to bring logic to your processes. Then, advance to automating real-world tasks using Excel and modern UI elements. This beginner-to-intermediate course is built on UiPath Studio 2022.10 and includes updates aligned with version 2023.10 and beyond. Upon completion, you’ll receive a course completion certificate from Coursera and UiPath. To see what’s included, visit the Learning Plan Curriculum tab for a breakdown of course topics and objectives.

    540 min
    View details: UiPath Automation Explorer
  • Technology
    Intermediate

    GKE Workload Optimization

    This is a self-paced lab that takes place in the Google Cloud console. This lab demonstrates how optimization in your cluster's workloads can lead to an overall optimization of your resources and costs. It walks through a few different workload optimization strategies such as container-native load balancing, application load testing, readiness and liveness probes, and pod disruption budgets.

    90 min
    View details: GKE Workload Optimization
  • Technology
    Intermediate

    Responsible AI for Developers: Fairness & Bias - 한국어

    이 과정에서는 책임감 있는 AI라는 개념과 AI 원칙을 소개합니다. 공정성과 편향을 실질적으로 식별하고 AI/ML 실무에서 편향을 완화하는 기법을 알아봅니다. Google Cloud 제품과 오픈소스 도구를 사용하여 책임감 있는 AI 권장사항을 구현하는 실용적인 방법과 도구를 살펴봅니다.

    View details: Responsible AI for Developers: Fairness & Bias - 한국어
  • Business
    Intermediate

    Анализ акций и отчетности Apple с помощью Bloomberg Terminal

    В этом курсе-проекте продолжительностью 1 час вы получите следующие навыки: использование Bloomberg для доступа к акциям и финансовым данным; анализ и интерпретация биржевых и финансовых данных; использование функции фондового рынка Bloomberg - DES, GP, ANR, FA, MODL, EQRV. Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов. Обязательным для начала данного проекта является доступ к терминалу Bloomberg.

    View details: Анализ акций и отчетности Apple с помощью Bloomberg Terminal
  • Business
    Intermediate

    Introducción al marketing con Google Ads

    En este curso aprenderás a crear y gestionar campañas en Google Ads que realmente funcionen. A través de un enfoque práctico, descubrirás cómo mejorar la visibilidad de tu empresa en los motores de búsqueda y atraer a los clientes adecuados. Este curso está diseñado para profesionales que desean fortalecer la presencia de una empresa en línea y maximizar el impacto de sus inversiones publicitarias. Aprenderás a aplicar estrategias de marketing digital alineadas con las necesidades específicas del negocio para lograr resultados tangibles tanto en posicionamiento web como en el retorno de inversión.

    View details: Introducción al marketing con Google Ads
  • Technology
    All levels

    Mastering Python Programming: Apply, Analyze, and Build

    This comprehensive course is designed to guide learners from foundational to advanced programming practices in Python, with a strong emphasis on functional problem-solving and object-oriented design. Throughout six structured modules, learners will apply, analyze, and create solutions using real-world constructs such as user-defined functions, recursion, classes, inheritance, sequences, and generators. Beginning with the abstraction and modularization of logic using functions, the course progresses through recursion strategies, advanced class structures, exception management, and Pythonic protocols like iteration and mapping. Learners will differentiate between static and class methods, construct custom exceptions and iterators, and integrate recursive generators for memory-efficient computing. By the end of the course, learners will be able to: • Apply Python’s object-oriented principles to construct scalable and reusable class designs • Analyze control flow and data structures through recursion and iterative transformations • Develop custom behaviors using special methods and protocols for sequences, mappings, and iteration • Evaluate and implement exception-handling strategies to create resilient applications • Design Python programs that integrate encapsulation, polymorphism, inheritance, and protocol adherence This course is ideal for learners seeking to deepen their Python expertise by moving beyond syntax toward writing expressive, efficient, and modular code with confidence.

    View details: Mastering Python Programming: Apply, Analyze, and Build
  • Engineering
    All levels

    Using Sensors With Your Raspberry Pi

    This course on integrating sensors with your Raspberry Pi is course 3 of a Coursera Specialization and can be taken separately or as part of the specialization. Although some material and explanations from the prior two courses are used, this course largely assumes no prior experience with sensors or data processing other than ideas about your own projects and an interest in building projects with sensors. This course focuses on core concepts and techniques in designing and integrating any sensor, rather than overly specific examples to copy. This method allows you to use these concepts in your projects to build highly customized sensors for your applications. Some of the ideas covered include calibrating sensors and the trade-offs between different mathematical methods of storing and applying calibration curves to your sensors. We also discuss accuracy, precision, and how to understand uncertainty in your measurements. We study methods of interfacing analog sensors with your Raspberry Pi (or other platform) with amplifiers and the theory and technique involved in reducing noise with spectral filters. Lastly, we borrow from the fields of data science, statistics, and digital signal processing, to post-process our data in Python.

    View details: Using Sensors With Your Raspberry Pi