The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Microsoft
Product Design and UX/UI Fundamentals
Develop the skills to collaborate effectively with design teams and create user-friendly interfaces. This course covers UX/UI principles, wireframing, mockups, and product testing. Learn to apply Microsoft design system guidelines and create enterprise software interfaces. Understand the roles and responsibilities of design team members, apply design thinking principles, and create basic sketches and wireframes. Master key UX/UI principles such as usability, accessibility, and consistency. Learn to analyze the UX/UI design process, create intuitive interfaces, and evaluate existing user interfaces. Construct user stories, employ various product testing techniques, and iterate on designs based on feedback. Design user experiences for AI products, ensuring transparency and ethical considerations. By the end of the course, you will be able to: - Collaborate effectively with design teams -Apply UX/UI principles to create user-friendly interfaces -Develop wireframes and mockups to visualize design concepts -Conduct product testing to gather user feedback -Design intuitive and engaging product experiences -Apply Microsoft design system guidelines -Create enterprise software interfaces A Microsoft 365 license or free trial is needed to complete the course activities.
EDUCBA
Analyze and Manage Hallucinations in Generative AI
By the end of this course, learners will be able to analyze how hallucinations arise in Generative AI systems, evaluate the risks they pose across different use cases, and apply practical strategies to detect and mitigate inaccurate or fabricated outputs. Learners will also assess advanced techniques and real-world case studies to improve the reliability and trustworthiness of AI-generated content. This course equips professionals with a structured understanding of hallucinations in Generative AI, starting from foundational concepts and progressing to hands-on management approaches. Learners will explore why hallucinations occur, how they manifest in different forms, and how they can be identified through systematic evaluation methods. The course then moves beyond theory to focus on mitigation strategies, prompt design, grounding techniques, and advanced approaches used in real-world deployments. What makes this course unique is its end-to-end focus on hallucination management, combining conceptual clarity with applied practice. Through examples, case studies, quizzes, and practice assessments, learners gain actionable skills that can be immediately applied in high-impact domains such as healthcare, finance, and enterprise AI systems.
Coursera
Data Visualization using Plotnine and ggplot
Welcome to this 1.5 hour long guided project on Data Visualization using Plotnine and ggplot. Plotnine library is a powerful python visualization library based on R's ggplot2 package and a great package to make professional plots. It has the grammar of graphics from ggplot and is used to add layers that control geometries, facets, themes and many constructs. In this project you will learn how to create beautiful visualizations using plotnine and gglot constructs. This guided project is for anyone who wants to learn data visualization or already in the data science field.
Yale University
Цифровые медиа в сфере здравоохранения
Курс «Цифровые медиа в сфере здравоохранения» (DMHO) готовит специалистов по коммуникациям в области здравоохранения и учит их использовать социальный и поведенческий анализ для разработки, внедрения и оценки коммуникаций в области здравоохранения в Интернете. Курс представляет собой всеобъемлющее, основанное на фактических данных учебное пособие по ключевым тактическим шагам для разработки и реализации успешных кампаний в области здравоохранения в социальных сетях, а также для оценки их эффективности и влияния на поведение в отношении здоровья. На протяжении всего курса учащиеся будут изучать лучшие практики создания соответствующих сообщений и креативов кампаний. В конце курса учащиеся смогут создать стратегию цифровой коммуникации в соответствии с практическими целями кампании и оценить ее влияние с помощью рекламных метрик, данных опросов, оценки затрат и показателей охвата. Йельский университет рад предложить этот курс, полностью переведенный на следующие языки: Арабский: https://www.coursera.org/learn/digital-media-health-outcomes-ar Французский: https://www.coursera.org/learn/digital-media-health-outcomes-fr Испанский: https://www.coursera.org/learn/digital-media-health-outcomes-es
Coursera
Nursing Leadership: Financial Management and Budgeting
Nursing Leadership: Financial Management and Budgeting is an intermediate-level course designed to equip nurse leaders with the financial fluency needed to manage budgets, interpret reports, and drive data-informed decisions. Whether you're stepping into your first leadership role or expanding your oversight, this course empowers you to strategically align nursing practice with financial goals while safeguarding care quality. Through concise videos, real-world examples, Excel-based budget simulations, and interactive coaching prompts, you'll learn to build operating budgets, analyze variances, and craft compelling budget justifications. You'll also gain experience with tools like forecasting models, variance reports, and action planning frameworks. Whether you're planning staffing, justifying resources, or responding to financial deviations, this course will help you lead with clarity, confidence, and fiscal responsibility—ensuring your unit thrives within both clinical and financial boundaries.
Fundação Instituto de Administração
Strategic Sales Management Final Project
Welcome to Course 5 – Strategic Sales Management Final Project. In this course, you’ll develop the final project of the specialization, which is an application of the whole set of concepts, models, frameworks, tools, and techniques discussed and practiced through the four previous courses. A business case provides the business context to serve as the reference to support your analyses regarding strategy, marketing, and sales integration. The case is adapted from a real-life experience. Having developed these analyses, you will follow the project instructions that lead you to the application of the concepts you have learned so far, and proceed to the sales planning processes to support the development of a sales guidelines, which will support the sales planning process in a later moment. The primary learning outcome of this course is to master concepts application to create sales guidelines, based on a structured analysis of a business case. The sales guidelines serve as the background of a sales plan structure, and they also connect the sales planning process to the strategy, at the same time that supports the development of a sales plan at a later moment. Whereas the sales plan structure may not be a detailed sales plan, it will provide all the aspects necessary to develop the sales plan later. The project will be peer-reviewed, and the instructions to develop it also bring the rubrics to develop the review.
Packt
Core Machine Learning & Evaluation
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you will build a strong foundation in machine learning and model evaluation techniques. You will begin by learning the core concepts of machine learning, including supervised learning, regression models, and classification techniques. The course will then guide you through more advanced topics like feature engineering, model evaluation methods, and hyperparameter tuning, which are essential for building high-performing machine learning models. By working through hands-on projects, you'll apply these concepts and tools in real-world scenarios. Throughout the course, you will explore key machine learning algorithms such as decision trees, random forests, boosting, and ensemble learning methods. You'll also learn how to evaluate and optimize models using techniques like cross-validation and hyperparameter tuning. These skills will enable you to refine your models and improve their accuracy, ensuring that they are ready for real-world applications. This course is suitable for anyone looking to deepen their understanding of machine learning, model evaluation, and optimization. While there are no strict prerequisites, a basic understanding of Python programming and machine learning concepts is recommended. The course is designed for intermediate learners, and the content will provide valuable skills for anyone looking to pursue a career in data science or machine learning engineering. By the end of the course, you will be able to implement and optimize machine learning models using various algorithms, perform feature engineering and selection, evaluate models using cross-validation, and apply advanced techniques such as boosting and ensemble methods.
Amazon Web Services
Amazon Kendra Getting Started
With Amazon Kendra, you can provide employees and customers with an intelligent search service that uses natural language processing and advanced machine learning algorithms to return specific answers to search questions from your data. In this course, you will learn the benefits and technical concepts of Amazon Kendra. You will learn about the native architecture and how the built-in features can help you manage documents that you want to search. If you are new to the service, you will learn how to start with Amazon Kendra through a demonstration using the AWS Management Console.
Packt
Generative AI Foundations for Absolute Beginners
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Generative AI is transforming how content is created, and this course offers a comprehensive introduction to this cutting-edge technology. You'll gain a foundational understanding of AI, machine learning, deep learning, and how Generative AI is applied in diverse fields such as text, image, and video generation. As you progress, you will dive into the technical foundations, including neural networks, large language models (LLMs), and self-supervised learning. The course progresses step-by-step, with a focus on practical knowledge and real-time applications, helping you not only understand concepts but also gain hands-on experience. This course is suitable for beginners with no prior technical knowledge in AI. It walks you through the basics, from machine learning to deep learning and the workings of Generative AI. Each section of the course builds upon the previous one, ensuring a smooth learning experience. You’ll also explore the limitations and ethical considerations of using AI, preparing you for a balanced perspective in the field. The course is designed for those curious about the potential and limitations of Generative AI in both creative and professional contexts. By the end of the course, you will be able to understand core AI concepts, apply machine learning techniques, work with Generative AI models, and implement them across various creative use cases, including text and image generation.
EDUCBA
XML and Java
This course equips learners with the practical skills and conceptual knowledge required to design, structure, and integrate modern web applications using a range of foundational and advanced technologies. Through progressive modules, learners will begin with the basics of XML and Core Java, gradually building toward hands-on implementation of HTML, CSS, and JavaScript for web interface design. Midway, the course delves into the architectural principles of J2EE, including Servlets, MVC, and middleware concepts, enabling learners to analyze enterprise-level patterns. Learners will then apply styling techniques using Cascading Style Sheets (CSS) and manipulate web content with AJAX and jQuery, learning how to execute asynchronous operations and handle dynamic data. The latter half of the course introduces JavaScript scripting, XML parsing, and real-world SOAP-based web services. Learners will construct, interpret, and integrate SOAP requests and WSDL-based services while also exploring XML's role in Java frameworks such as Hibernate. Emphasis is placed on evaluating well-formed XML structures, utilizing CDATA and namespaces, and deploying XML configurations for scalable and interoperable web applications. By the end of the course, learners will be able to: • Explain the role of markup, styling, scripting, and service protocols in web development. • Apply HTML, CSS, and JavaScript to build responsive and structured web pages. • Integrate client-server technologies using Servlets, XML, AJAX, and jQuery. • Demonstrate service interaction using SOAP, WSDL, and UDDI. • Construct well-formed XML documents and configurations in Java frameworks. • Evaluate web service errors and debugging strategies using SOAP faults and XML validation.
Fractal Analytics
Foundations of Machine Learning
In a world where data-driven insights are reshaping industries, mastering the foundations of machine learning is a valuable skill that opens doors to innovation and informed decision-making. In this comprehensive course, you will be guided through the core concepts and practical aspects of machine learning. Complex algorithms and techniques will be demystified and broken down into digestible knowledge, empowering you to wield the capabilities of machine learning confidently. By the end of this course, you will: 1. Grasp the fundamental principles of machine learning and its real-world applications. 2. Construct and evaluate machine learning models, transforming raw data into actionable insights. 3. Navigate through diverse datasets, extracting meaningful patterns that drive decision-making. 4. Apply machine learning strategies to varied scenarios, expanding your problem-solving toolkit. This course equips you with the foundation to thrive as a machine learning enthusiast, data-driven professional, or someone ready to explore the dynamic possibilities of machine learning.
National Taiwan University
普通物理學-電磁學、光學及近代物理 (General Physics (1))
物理學是描述世上質量與能量交互作用的學問，在這門課中我們將為大家介紹近代物理對於世界的認識。我們會從電磁學出發，進展到光學，並進而說明近代物理對人類觀念的突破。
LearnKartS
Docker Fundamentals
This Docker Fundamentals is a comprehensive, hands-on course that prepares students for the Docker Certified Associate (DCA) exam. Whether you're a developer, cloud professional, system administrator, or technology leader, this course will teach you in-demand containerization skills that will change the way you design, deploy, and run apps. Learn about Docker's key components, including images and containers, volumes, networks, and the Docker Engine architecture. Explore how Docker differs from traditional virtualization and why it is the preferred solution for microservices and scalable application deployment. Understand how to handle Docker on Linux systems, optimize your workflows, and become acquainted with powerful enterprise technologies, including Mirantis solutions. You'll learn about DevOps pipelines and cloud-native development through engaging videos, real-life examples, and graded assignments that you may take. By the end, you won't simply know what Docker is; you'll also be able to utilize it with confidence and get ready for the DCA certification. Enroll now to secure your career in container technology. Disclaimer: This course is not affiliated with or endorsed by Docker, Inc. ‘Docker’ and the Docker logo are trademarks or registered trademarks of Docker, Inc.
Codio
CI/CD for Software Developers
This course is designed as an intermediate introduction to CI/CD. You will learn about the basics of automating processes and version control. This course uses GitHub, and you will need to have an account with them. Information is provided how to do this. Learners also use CI/CD to build, test, and check the quality of their code. The course ends with deployment, secrets, and a capstone.
Alfaisal University | KLD
محاسبة المخزون | Accounting for inventory
يُعد المخزون (Inventory) من أهم الأصول (Assets) التي تسعى الشركات خاصةً التجارية منها، إلى إدارتها بشكل احترافي عبر إدارة التسعير والتقييم وتوفير الكميات المطلوبة وذلك لما له من أثر كبير على تحقيق المبيعات والأرباح، وتتنوع أشكال المخزون (Inventory) فهناك بضائع تامة الصنع وبضائع تحت التصنيع بالإضافة إلى الأدوات المكتبية اللازمة للأعمال الإدارية والوقود والمهمات وقطع الغيار اللازمة لصيانة أصول الشركة. 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 باستيعاب محاسبة المخزون، أو كان مجال عملك يتطلب فهم هذا المجال وتوظيفه في سياق العمل، فهذه الدورة ستكون مثالية لإغناء خبرتك وتطوير مهاراتك بشكل فعال ومؤثر ينعكس بنتائج ملموسة على أعمالك. حيث ستزودك هذه الدورة باطلاع واسع ودقيق على مجموعة من المحاور المتعلقة بهذا الموضوع، مثل: قائمة الدخل، الخطوات المحاسبية لمعالجة العمليات الخاصة بالمخزون، مفهوم قائمة المركز المالي، الفرق بين سعر التكلفة وسعر السوق للمخزون، طرق تقييم وتسعير المخزون، تسجيل المخزون في الدفاتر، كيفية ظهور المخزون في القوائم المالية.
Coursera
Capstone Project_AI Marketing Specalist
Master the strategic integration of digital marketing channels to drive measurable business growth in competitive technology markets. You'll learn to orchestrate comprehensive omni-channel campaigns that seamlessly blend SEO optimization, social media engagement, email automation, paid advertising, and performance analytics into cohesive customer acquisition strategies. Through hands-on application with a B2B SaaS company scenario, you'll develop professional-grade marketing assets, create executive presentations that quantify ROI, and build portfolio-ready documentation that demonstrates strategic thinking and technical competency. This programme prepares you to think like a marketing strategist who can coordinate complex campaigns across multiple touchpoints while maintaining a data-driven, optimization-focused approach to every campaign element. You'll emerge with the multi-channel orchestration skills that distinguish successful marketing professionals in today's fragmented digital landscape, plus comprehensive portfolio materials that showcase your ability to drive measurable business outcomes through sophisticated campaign management and stakeholder communication.