The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
IBM
Generative AI Language Modeling with Transformers
This course provides a practical introduction to using transformer-based models for natural language processing (NLP) applications. You will learn to build and train models for text classification using encoder-based architectures like Bidirectional Encoder Representations from Transformers (BERT), and explore core concepts such as positional encoding, word embeddings, and attention mechanisms. The course covers multi-head attention, self-attention, and causal language modeling with GPT for tasks like text generation and translation. You will gain hands-on experience implementing transformer models in PyTorch, including pretraining strategies such as masked language modeling (MLM) and next sentence prediction (NSP). Through guided labs, you’ll apply encoder and decoder models to real-world scenarios. This course is designed for learners interested in generative AI engineering and requires prior knowledge of Python, PyTorch, and machine learning. Enroll now to build your skills in NLP with transformers!
University of Colorado Boulder
Methods for Solving Problems
In this course, we will explore different types of problems, the boundaries of what makes a problem solvable, and the different algorithms, rules, and heuristics we can implement to solve these problems.
Coursera
Stream Real-Time Geo
Stream Real-Time Geo is a beginner-level course that introduces how real-time geographic data pipelines work in applications such as fleet tracking, logistics dashboards, and IoT monitoring systems. The course is designed for learners with basic JavaScript skills and familiarity with web maps and geographic coordinates who want to understand how live GPS data moves from devices to interactive dashboards. You will begin by ingesting simulated GPS messages using MQTT, a lightweight messaging protocol commonly used in IoT systems. You will observe how location events are structured, transmitted, and received in a publish–subscribe pipeline. Next, you will visualize streaming GPS tracks using Leaflet, an open-source JavaScript mapping library. You will build a live map that updates as new coordinates arrive, learning how markers, paths, and map interactions translate raw location data into operational insight. Finally, you will measure end-to-end latency across the pipeline to understand where delays occur between devices, brokers, and the map visualization. By the end of the course, you will be able to ingest GPS streams, display them on an interactive map, and analyze latency to improve real-time geospatial applications.
University of London
أساسيات مواقع الويب سريعة الاستجابة: البرمجة باستخدام HTML وCSS وJavaScript
في هذه الدورة التدريبية، سوف تتعلم ثلاث لغات رئيسية من لغات برمجة مواقع الويب وتصميمها: وهي HTML وCSS وJavaScript. وستقوم بإنشاء صفحة ويب باستخدام العناصر الأساسية للتحكم في التخطيط والنمط. بالإضافة إلى ذلك، ستدعم صفحة الويب التي تقوم بإنشائها ميزة التفاعل. في نهاية الدورة التدريبية، ستتمكن من القيام بما يلي: 1. تحديد الغرض من HTML وCSS وJavaScript 2. إنشاء صفحة ويب بسيطة باستخدام HTML 3. استخدام CSS للتحكم في أنماط النص وتخطيطه 4. استخدام مكتبات CSS مثل Bootstrap لإنشاء تخطيطات متجاوبة 5. استخدام متغيرات JavaScript ووظائفها 6. معالجة محتوى صفحة الويب باستخدام JavaScript 7.الرد على إدخالات المستخدم باستخدام JavaScript في هذه الدورة التدريبية، ستكمل ما يلي: واجبان يتعلقان بكتابة HTML وCSS وJavaScript، ويستغرق إكمال كل منهما ساعة واحدة 4 اختبارات، يستغرق إكمال كل منها 20 دقيقة تمرين واحد متعلق بالبرمجة، يستغرق إكماله 30 دقيقة اختبارات تدريبية متعددة، يستغرق كل منها 5 دقائق لن يتم منحك ساعات معتمدة في برامج جامعة لندن مقابل المشاركة في هذه الدورة التدريبية عبر الإنترنت أو إتمامها.
Cloudera
Foundations for Big Data Analysis with SQL
In this course, you'll get a big-picture view of using SQL for big data, starting with an overview of data, database systems, and the common querying language (SQL). Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. You'll also install an exercise environment (virtual machine) to be used through the specialization courses, and you'll have an opportunity to do some initial exploration of databases and tables in that environment. By the end of the course, you will be able to • distinguish operational from analytic databases, and understand how these are applied in big data; • understand how database and table design provides structures for working with data; • appreciate how differences in volume and variety of data affects your choice of an appropriate database system; • recognize the features and benefits of SQL dialects designed to work with big data systems for storage and analysis; and • explore databases and tables in a big data platform. To use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements: • Windows, macOS, or Linux operating system (iPads and Android tablets will not work) • 64-bit operating system (32-bit operating systems will not work) • 8 GB RAM or more • 25GB free disk space or more • Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled; on Windows and Linux computers, you might need to enable it in the BIOS) • For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)
University of Illinois Urbana-Champaign
Financial Reporting Capstone
The Capstone is the culminating project in the Financial Reporting Specialization. You will have the opportunity to combine the concepts and techniques obtained through all the courses in this specialization (Accounting Analysis I: The Role of Accounting as an Information System, Accounting Analysis I: Measurement and Disclosure of Assets, Accounting Analysis II: Measurement and Disclosure of Liabilities, and Accounting Analysis II: Accounting for Liabilities and Equity) and apply them to a real world accounting project. The Capstone project will be 3 weeks long. You must take the Capstone project class after taking all the other courses in this Specialization.
Universitat Autònoma de Barcelona
Competencias digitales de ofimática: Microsoft Word
Los continuos cambios tecnológicos, sobre todo en aquellos aspectos vinculados a las tecnologías de la información y la comunicación (TIC) hacen que las personas tengan la necesidad de actualizarse de forma continua para que sus conocimientos no queden obsoletos. En este contexto, para las empresas se convierte en algo imprescindible disponer de profesionales que tengan las competencias necesarias para ejercer con éxito las actividades que requieren en su lugar de trabajo. El curso, basado en las experiencias previas y el syllabus de ECDL (European Computer Driving Licence), nace con la voluntad de facilitar: - el desarrollo continuado de las personas en aquellas competencias vinculadas a las tecnologías de la información y la comunicación, - la inserción laboral y la renovación de las competencias tecnológicas de los estudiantes y de los profesionales. Los cursos que ofrecemos bajo el título general “Competencias digitales” están destinados a personas sin conocimientos de ofimática o a personas con unas competencias digitales básicas y que deseen mejorar sus conocimientos de ofimática para ser más eficientes en sus estudios o en su trabajo, o bien quieran aumentar sus perspectivas laborales. En este curso, trabajaremos la aplicación Microsoft Word (procesador de textos). Si piensas inscribirte también en los cursos de Excel y PowerPoint, puedes hacer la inscripción en el curso "Competencias Digitales 2: Herramientas de Ofimática (Microsoft Word, Excel y PowerPoint)" donde tendrás los contenidos de los tres cursos en uno solo y te ahorrarás tener que pagar el certificado de cada uno).
University of Michigan
Russia-Ukraine War: One Year Later Teach-Out
One year after Russia launched a full-scale military invasion of Ukraine, the war continues to rage throughout the country impacting millions of Ukrainians, the economy, the educational system, and everyday life. Without a clear pathway to resolution in sight, it’s more crucial than ever to seek to understand the motivations of the war and shifting global policies, learn about the impact the war has had on everyday people, and explore ways in which people around the world can take action to support Ukraine. Featuring contributors representing diverse disciplines and experiences, the intention of this Teach-Out is to reexamine the events of this past year, learn how the war has impacted global policy and various economic and social institutions in Ukraine, listen to Ukrainian citizen experiences, and discuss how learners can help support those who have been impacted by the war. This Teach-Out will answer: - What implications has the war had on global policy and international relations? - What role has NATO played and what is the current relationship between Ukraine and NATO? - What has the past year looked like for those impacted by the war? - How has foreign support been impacted over the past year? - How can learners of the Teach-Out help Ukrainians?
Universidade de São Paulo
Mapas conceituais para aprender e colaborar
VALORIZE O SEU CONHECIMENTO Aprenda a fazer mapas conceituais para representar, organizar e compartilhar o seu conhecimento. Fazendo o nosso curso você será capaz de: [1] transformar o pensamento discursivo em proposições, [2] elaborar mapas conceituais com papel e lápis e com o programa CmapTools (gratuito), [3] avaliar um mapa conceitual, considerando a forma da sua rede e o conteúdo que ele apresenta, [4] usar mapas conceituais para facilitar a comunicação durante processos colaborativos, e [5] desenvolver habilidades relacionadas com a aprendizagem por toda a vida. REDE DE MAPEADORES CERTIFICADOS O nosso curso é o maior programa de certificação de mapeadores conceituais do mundo. Ele é responsável pela formação de uma rede de mapeadores conceituais que está se disseminando no Brasil. COMO OS MAPAS CONCEITUAIS PODEM TE AJUDAR? O conhecimento é cada vez mais valorizado na nossa sociedade. Ele é a matéria-prima indispensável para o desenvolvimento pessoal e profissional. Os mapas conceituais são organizadores gráficos que representam o conhecimento e nos ajudam a refletir sobre o nosso aprendizado e a colaborar de forma mais eficiente.
Parsons School of Design, The New School
Utilizar Diseño Para Crear Soluciones de Negocio Innovadoras
En este curso, examinará las metodologías y los elementos esenciales del pensamiento de diseño. Lo ayudaremos a determinar cómo seleccionar un modelo comercial para maximizar las oportunidades y administrar los turnos. Revisará los desafíos en el proceso de diseño. Luego, desarrollaremos soluciones para diseñar desafíos y puntos débiles con los que podría encontrarse durante el proceso de diseño. Para tener éxito en este curso, usted debe ser un profesional con al menos 2-3 años de experiencia en un entorno organizacional. Será útil tener experiencia específica en un puesto de diseño o trabajando con diseñadores. Al finalizar este curso, será capaz de: - Examinar metodologías y elementos esenciales del pensamiento de diseño - Determinar la selección del modelo de negocio para maximizar la oportunidad y gestionar los turnos - Revisar los desafíos en el proceso de diseño - Desarrollar soluciones a los desafíos y puntos débiles en el diseño
University of Colorado Boulder
Animals, Self, and Society
This course explores how animals and people are situated within the web of structures and connections known as “society.” Module 1 considers some of the key symbolic roles that animals play in society by investigating the practice of “thinking with animals.” We investigate how people construct different meanings of animals and the implications these meanings have for both animals and humans. You will gain first-hand experience of this by analyzing how animals are represented in the media. Modules 2 and 3 investigate human-animal relationships, including those that involve suffering as well as those that are beneficial. Although many people describe their pets as friends or family members, Module 2 takes a deeper dive into what constitutes friendship and family membership where other species are concerned. Module 3 examines the dark side of these relationships, focusing on animal abuse and its relationship to domestic violence. Module 4 focuses on people’s encounters with those animals outside the boundaries of the home and the farm. The way people understand and regard the species commonly considered “wild” shapes the treatment and moral status of these animals.
Google
Make Data-Driven Decisions
In this course, you'll learn to contextualize qualitative and quantitative data to improve business decisions. You'll explore data collection tools, compare data-driven and data-inspired approaches, and understand why analysis can sometimes fail. You'll examine performance metrics and use data visualization to communicate the story behind the numbers. You'll study dashboard types, design principles, and mathematical thinking strategies to spot patterns to solve problems. Finally, you'll practice selecting the right analytical tools for different datasets based on their characteristics. By the end of this course, you will be able to: • Discuss the importance and benefits of dashboards and reports to the data analyst with reference to Tableau and spreadsheets • Explain the difference between quantitative and qualitative data including reference to their use and specific examples • Compare and contrast data-driven decision making with data-inspired decision making • Discuss the use of data in the decision-making process • Differentiate between data and metrics, giving specific examples • Demonstrate an understanding of what is involved in using a mathematical approach to analyze a problem
Packt
Python for Secret Agents
This course takes a unique approach to learning Python by focusing on practical applications used by secret agents. Through hands-on projects, you will explore encryption, data analysis, and intelligence gathering techniques using Python. By working on real-world tasks like steganography, geocoding, and web scraping, learners will sharpen their skills while creating valuable tools. You'll be equipped to solve problems and analyze data like a secret agent. The course stands out by combining playful, real-world applications with Python, giving you the experience to develop actual tools and solve complex challenges. This course is perfect for beginners in Python who want to dive into its applications in data analysis and intelligence tasks. A basic understanding of programming and statistics is beneficial but not required.
Packt
Procedural Weapon Generation with Blender 4.4
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’ll dive into procedural weapon generation with Blender 4.4. Starting with setting up your project goals and gathering reference material, you’ll learn how to model weapon components using Blender’s powerful tools. As you progress, you’ll master Geometry Nodes to assemble and manipulate parts, adding randomness to designs, and automating the process with Python scripting. You will explore every stage of the workflow, from building the initial components to refining your procedural setup. This course is perfect for game designers and 3D modelers who want to learn efficient, automated workflows for weapon creation. Whether you're new to Blender or want to enhance your skills, this course will equip you with the knowledge to create complex procedural weapon models. By the end of the course, you’ll be able to generate procedural weapons, apply randomness, automate workflows with Python, and export models for use in games or other projects.
Packt
Postman Tutorial: Getting Started with API Testing
Updated in May 2025. This course now 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. Embark on an educational journey that equips you with the essential skills to master API testing using Postman. Starting with an introduction to the Postman desktop and web apps, you'll learn how to navigate the interface and send your first requests. As you progress, you'll delve into the intricacies of HTTP requests, including GET, POST, and DELETE, and understand how to handle responses efficiently. The course then advances to more complex topics, such as request authentication, parameters, body options, and header presets. You'll explore the Postman Console for debugging and learn to utilize code snippets to streamline your workflow. Additionally, you'll gain expertise in creating and managing Postman collections, an essential feature for organizing and automating your API tests. In the final sections, you'll discover the power of Postman environments and workspaces, which allow you to manage different testing scenarios and collaborate with your team seamlessly. The course concludes with a deep dive into useful Postman features like scratch pads and importing/exporting API elements, ensuring you are well-equipped to handle any API testing challenge. This course is ideal for developers and testers who are new to Postman or looking to enhance their API testing skills. A basic understanding of APIs and HTTP requests is recommended but not required.
SkillUp
Neurodiversity in the Workplace
Neurodiversity acknowledges that people think, learn, and process information in diverse ways, viewing these differences as unique strengths that contribute to the richness of human experience. At its core, neurodiversity promotes acceptance, inclusion, and respect for all kinds of minds, encouraging organizations to adapt to individuals rather than expecting everyone to think or work the same way. Embracing neurodiversity fuels innovation, improves problem-solving, and builds more inclusive and resilient workplaces. With awareness, supportive policies, and active allyship, organizations can challenge biases and create environments where everyone feels respected, valued, and empowered. Small but meaningful workplace changes, such as inclusive hiring practices, flexible communication, and role alignment based on strengths, can significantly enhance well-being and unlock potential across teams. Designed for professionals at all levels, this course equips learners with the knowledge and practical strategies necessary to create neuro-inclusive workplaces. By the end of the course, the learners will gain a clear understanding of how ensuring fairness and respect can help build trust, prevent biases, and support a positive and inclusive work environment where everyone feels valued, heard, and empowered.