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Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
EDUCBA
AI & Machine Learning: Apply, Build & Solve
By the end of this course, learners will be able to design intelligent agents, apply search algorithms, implement machine learning models, perform logical reasoning, build expert systems with CLIPS, and apply probabilistic models for decision-making. The course equips participants with a strong foundation in Artificial Intelligence and Machine Learning, combining theory with hands-on practice. This training begins with AI fundamentals, intelligent agents, and search strategies, then advances to heuristic methods and game-playing algorithms. Learners will explore neural networks, backpropagation, and clustering to understand machine learning essentials. Logical reasoning and knowledge representation are introduced through propositional and predicate logic, unification, resolution, and Prolog programming. Expert systems are covered in depth with practical CLIPS tutorials, progressing from basics to advanced features. Finally, the course integrates intelligent agent architectures with reinforcement learning, Markov Decision Processes, and Bayesian reasoning to manage uncertainty. Unique to this course is its balance of conceptual clarity and practical exercises, ensuring learners gain both the “why” and the “how” of AI. By completing this course, learners will be well-prepared to apply AI and ML techniques to solve real-world problems in research, business, and technology.
Deep Teaching Solutions
تعّلم كيف تتعلم: أدوات ذهنية قوية لمساعدتك على إتقان موضوعات صعبة
تمنحك هذه الدورة التدريبية وصولاً سهلاً إلى أساليب تعلم لا تقدر بثمن يستخدمها خبراء في الفن والموسيقى والأدب والرياضيات والعلوم والرياضة والعديد من التخصصات الأخرى. سنتعرّف على كيفية استخدام الدماغ لطريقتين مختلفتين تمامًا للتعلم وكيفية استيعابه للمعلومات (عن طريق تجميعها في وحدات). وسنتناول أيضًا أوهام التعلم وتقنيات الذاكرة والتعامل مع التسويف وأفضل الممارسات التي أظهرت الأبحاث فعاليتها في مساعدتك على إتقان الموضوعات الصعبة. بغض النظر عن مستوى مهارتك في المواضيع التي ترغب في إتقانها، يمكنك تغيير طريقة تفكيرك وحياتك باستخدام هذه الأساليب. وإذا كنت خبيرًا بالفعل، فإن هذه اللمحة السريعة حول طريقة عمل العقل سوف تمدك بأفكار حول: التعلم الناجح، ويشمل ذلك النصائح والأفكار غير البديهية المتعلقة بالاختبارات التي ستساعدك على تحقيق أقصى استفادة من وقتك في الواجبات المنزلية ومجموعات المشاكل. إذا كنت تواجه أي صعوبات، فستجد كنزًا من التقنيات العملية التي تساعدك في تنفيذ ما تحتاج إلى تنفيذه لتصل إلى المسار الصحيح. وإذا كنت ترغب في إتقان أي شيء، فستساعدك هذه الدورة التدريبية على تحقيق ذلك. يمكن أن تؤخذ هذه الدورة التدريبية بشكل مستقل عن الدورة المصاحبة لها، وهي "تغيير العقلية"، أو قبلها أو بالتزامن معها. (تركز دورة "تعلم كيف تتعلم" التدريبية على التعلم بشكل كبير، بينما تركز دورة "تغيير العقلية" التدريبية على الوظيفة بشكل أكبر.) للانضمام إلى النسخة المترجمة بالكامل إلى البرتغالية من الدورة التدريبية، تفضل بزيارة: https://www.coursera.org/learn/aprender للانضمام إلى النسخة المترجمة بالكامل إلى الإسبانية من الدورة التدريبية، تفضل بزيارة: https://www.coursera.org/learn/aprendiendo-a-aprender للانضمام إلى النسخة المترجمة بالكامل إلى الصينية من الدورة التدريبية، تفضل بزيارة: https://www.coursera.org/learn/ruhe-xuexi
Coursera
Improving Content Mastery with Quizlet
By the end of this project, you will be ready to use Quizlet to help students master any content. With the study sets, quiz modes, and in-class games Quizlet provides, memorization is made easier making mastery an achievable goal. Throughout each task in this project, we will work together to ensure that you are ready to use Quizlet with your students. By the end, we will have created and curated study sets that you can use with your class right away. *You will need a free Quizlet account for this project.
University of Michigan
Fitting Statistical Models to Data with Python
In this course, we will expand our exploration of statistical inference techniques by focusing on the science and art of fitting statistical models to data. We will build on the concepts presented in the Statistical Inference course (Course 2) to emphasize the importance of connecting research questions to our data analysis methods. We will also focus on various modeling objectives, including making inference about relationships between variables and generating predictions for future observations. This course will introduce and explore various statistical modeling techniques, including linear regression, logistic regression, generalized linear models, hierarchical and mixed effects (or multilevel) models, and Bayesian inference techniques. All techniques will be illustrated using a variety of real data sets, and the course will emphasize different modeling approaches for different types of data sets, depending on the study design underlying the data (referring back to Course 1, Understanding and Visualizing Data with Python). During these lab-based sessions, learners will work through tutorials focusing on specific case studies to help solidify the week’s statistical concepts, which will include further deep dives into Python libraries including Statsmodels, Pandas, and Seaborn. This course utilizes the Jupyter Notebook environment within Coursera.
Stanford University
Introduction to Healthcare
Solving the problems and challenges within the U.S. healthcare system requires a deep understanding of how the system works. Successful solutions and strategies must take into account the realities of the current system. This course explores the fundamentals of the U.S. healthcare system. It will introduce the principal institutions and participants in healthcare systems, explain what they do, and discuss the interactions between them. The course will cover physician practices, hospitals, pharmaceuticals, and insurance and financing arrangements. We will also discuss the challenges of healthcare cost management, quality of care, and access to care. While the course focuses on the U.S. healthcare system, we will also refer to healthcare systems in other developed countries. In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team. Visit the FAQs below for important information regarding 1) Date of the original release and expiration date; 2) Accreditation and Credit Designation statements; 3) Disclosure of financial relationships for every person in control of activity content.
EDUCBA
Splunk Administration: Configure & Optimize Data
By the end of this course, learners will be able to configure, manage, and optimize advanced Splunk environments for enterprise-scale data operations. They will gain the skills to administer Splunk components, set up distributed deployments, manage licenses, configure indexes, and troubleshoot configuration conflicts using real-world practices. This course provides an in-depth exploration of Splunk’s architecture, from core components and directory structures to access controls, pipeline operations, and index management. Through structured modules, learners will develop a strong understanding of how to deploy Splunk effectively, maintain performance, and ensure security across multiple environments. Unlike basic administrator tutorials, this advanced-level course emphasizes configuration hierarchy, merging logic, and the use of diagnostic tools such as the Btool command. Learners will finish the course equipped to streamline Splunk operations, resolve conflicts, and manage data indexing confidently — skills essential for professional Splunk administrators and IT infrastructure specialists.
Packt
Practical Linux Command Line 2.0
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 hands-on course, you’ll master Linux command line basics and advanced techniques to navigate, manage files, and increase productivity in a Linux environment. You’ll develop practical skills that enable you to manage users, permissions, and software installations with confidence. As you progress, you’ll also learn how to work with networking tools, SSH, and automate tasks to streamline your workflow. The course is structured to start with simple terminal navigation, including tips for efficient work and understanding Linux file systems. You'll gradually move to more advanced topics such as file management, process monitoring, and working with system utilities. By the end, you'll be well-equipped to handle a variety of Linux tasks like system management, resource monitoring, and automating routine actions. This course is ideal for those looking to deepen their Linux command line skills or get more hands-on experience. It is suitable for beginners and intermediate learners who are eager to expand their technical abilities and work more effectively in a Linux environment.
University of Pennsylvania
English for Science, Technology, Engineering, and Mathematics
Welcome to English for Science, Technology, Engineering, and Mathematics, a course created by the University of Pennsylvania, and funded by the U.S. Department of State Bureau of Educational and Cultural Affairs, Office of English Language Programs. To enroll in this course for free, click on “Enroll now” and then select "Full Course. No certificate." If you want to get a Coursera Verified Certificate for free, please fill out the Financial Aid form. This course is designed for non-native English speakers who are interested in improving their English skills in the sciences. In this course, you will explore some of the most innovative areas of scientific study, while expanding your vocabulary and the language skills needed to share scientific information within your community. In unit 1, you will learn how to preview texts and practice some of the language used to make comparisons when talking about global warming and climate change. In unit 2, you will examine the chemistry of climate change and the language of cause and effect. In Unit 3, you will learn about some of the impacts of Climate Change and the language used to describe these effects. In Unit 4, you will learn reading strategies that can help you explore the science behind some new energy systems. In the final unit, you will investigate practical advances in Nanotechnology that help slow down climate change, while developing your own research skills in English. Unless otherwise noted, all course materials are available for re-use, repurposing and free distribution under a Creative Commons 4.0 Attribution license. Supplemental reading materials were provided by Newsela, which publishes daily news articles at a level that's just right for each English language learner.
Google Cloud
Gemini in Google Meet - 日本語版
Gemini for Google Workspace は、生成 AI 機能へのアクセスをユーザーに提供するアドオンです。このコースでは、Google Meet での Gemini の機能について掘り下げます。動画レッスン、ハンズオン アクティビティ、実用的な例を通じて Google Meet の Gemini 機能を総合的に理解し、Gemini を使用した背景画像の生成、ビデオ通話の映りの改善、字幕翻訳の方法を学びます。このコースを修了すると、Google Meet で Gemini を自信を持って活用し、ビデオ会議の効果を最大限に高めるための知識とスキルを身に付けられます。
EDUCBA
Unity Game Development: Beginner to Intermediate
By completing this course, learners will gain the skills necessary to create interactive 2D games in Unity, focusing on game mechanics, object handling, player control, and environmental design. They will learn to manage sprites, animate characters, implement game logic, and handle UI elements, allowing them to build fully functional games. The course covers essential topics such as sprite sheet management, chopper movement scripting, background scrolling, and integrating scoring systems, making it ideal for aspiring game developers. Through hands-on lessons, learners will not only master the basics of Unity game development but also gain practical experience in game creation and debugging. They will be equipped with the knowledge to implement core features such as collision detection, game over conditions, and obstacle spawning, providing a solid foundation for more complex game development projects. What makes this course unique is its focus on a structured, project-based approach, where learners build a fully operational chopper game, learning the core concepts step-by-step. This practical experience is invaluable for those looking to advance their game development career.
Macquarie University
공급망 관리: 세계로 진출하라
기업과 공급망은 이제 진정으로 세계화된 무역 환경에서 점점 더 치열해지는 경쟁과 불확실성에 직면하고 있습니다. 기업들은 경쟁력을 유지하기 위해 글로벌한 사고방식을 가져야 합니다. 즉, 비용을 최소화하고 시장 대응력을 극대화하면서 고객 요구를 만족시켜야 합니다. 전략적 관점에서 공급망의 비용, 품질 및 유연성 사이에서 중요한 절충 결정을 내리는 것이 포함됩니다. 본 과정은 구조화된 학습 활동(동영상 강의, 퀴즈, 토론 프롬프트, 평가)을 통해 효과적이고 지속 가능하며 효율적인 글로벌 공급망을 설계 및 관리할 수 있는 미래 지향적 역량을 갖추게 합니다.
Coursera
Build Your First GUI App With Java
In this 2-hour long project-based course, you will learn java graphical user interface (GUI) frameworks and you will learn how to develop GUI applications with java. In this project, you will learn java GUI components in detail as well as you will learn how to generate code and design java apps by using NetBeans IDE. By the end of this project, you will be able to design and develop your own GUI applications by using java GUI component tools.
Rutgers the State University of New Jersey
Procurement Organizations
This course is primary focused on Procurement Organization-how to integrate procurement into the business and with your suppliers, review different types of procurement organizations, the importance of having policy and and procedures, how to establish meaningful Key Performance Indicators (KPIs) , and lastly examine the criterial roll of talent. All of this learning is meant to create a "real" competitive advantage for your procurement organization and your firm.
Yonsei University
Wireless Communications for Everybody
This course will provide an introduction and history of cellular communication systems that have changed our lives during the recent four decades and will become an essential and inseparable part of human life. The principles of wireless communication theory are covered with emphasis on the essential concept delivery to non-major learners in the easiest way. Then, it will be covered how such principles are realized and how multimedia services can be delivered in practical LTE cellular systems by which learners are connected and enjoys together in their lives. After completing this course, learners will be able to understand 1. What a cellular system is and how it has been developed so far 2. The very basic principles how information can be delivered efficiently using radio 3. How such principles are realized in LTE systems. 4. How people can be connected and multimedia services can be delivered in LTE systems
Google
Оцінка успішності: маркетингова аналітика та вимірювання
"Оцінка успішності: маркетингова аналітика та вимірювання" є п’ятим із семи курсів програми сертифікації Google з цифрового маркетингу та електронної комерції. На цьому курсі розглядаються практики та інструменти маркетингової аналітики. Очікується, що фахівці з цифрового маркетингу та електронної комерції будуть аналізувати дані з різних джерел (таких як вебсторінки, канали цифрового маркетингу і сайти електронної комерції) та використовувати їх для отримання інформації про клієнтів. Ви будете створювати медіаплани і ставити цілі ефективності. Ви дізнаєтеся, як вимірювати й аналізувати дані маркетингових кампаній за допомогою інструментів Google Analytics, Google Ads тощо. Потім навчитеся коригувати маркетинговий бюджет відповідно до аналітичних даних, отриманих на основі ключових показників. Ви використовуватимете результати A/B-тестування для оптимізації кампанії та визначення показників, що гарантують її успіх. Ви зможете аналізувати й візуалізувати дані та ідеї в електронних таблицях і готувати презентації, щоб ділитися ходом кампанії або її результатами із зацікавленими сторонами. Співробітники Google, які зараз працюють у цій сфері, навчатимуть вас за допомогою практичних вправ і прикладів, які імітують стандартні завдання в області цифрового маркетингу й електронної комерції, а також продемонструють найбільш ефективні інструменти й ресурси, які вони використовують у своїй роботі. Студенти, які пройдуть усі сім курсів програми, володітимуть навичками, які дадуть їм змогу претендувати на вакансії початкового рівня в галузі цифрового маркетингу та електронної комерції. Попередній досвід роботи необов’язковий. Пройшовши цей курс, ви вмітимете вирішувати такі завдання: – планування та розподіл витрат маркетингових бюджетів; – розуміння унікальної ролі цілей ефективності та ключових показників ефективності (KPI) в маркетингових кампаніях; – уміння використовувати інструменти на кшталт Google Analytics і Google Ads для вимірювання ефективності сайтів і рекламних кампаній; – визначення показників рентабельності інвестицій (ROI) або рентабельності витрат на рекламу (ROAS) маркетингового проекту; – підготовка, проведення та аналіз результатів A/B-тестування для оптимізації маркетингової кампанії; – застосування таких функцій електронних таблиць, як сортування, фільтрування та зведені таблиці, для підготовки даних для демонстрації; – створення діаграм в електронних таблицях для візуалізації показників;
Wesleyan University
The Ancient Greeks
This is a survey of ancient Greek history from the Bronze Age to the death of Socrates in 399 BCE. Along with studying the most important events and personalities, we will consider broader issues such as political and cultural values and methods of historical interpretation.