The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Rice University
Algorithmic Thinking (Part 2)
Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems. In part 2 of this course, we will study advanced algorithmic techniques such as divide-and-conquer and dynamic programming. As the central part of the course, students will implement several algorithms in Python that incorporate these techniques and then use these algorithms to analyze two large real-world data sets. The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms. Once students have completed this class, they will have both the mathematical and programming skills to analyze, design, and program solutions to a wide range of computational problems. While this class will use Python as its vehicle of choice to practice Algorithmic Thinking, the concepts that you will learn in this class transcend any particular programming language.
Parsons School of Design, The New School
Sustainable Building: Design and Specification
This course is an examination of the role designers play in protecting health through specification of materials and choices made in the building design phase. You learn about strategies and principles employed in the execution of healthier design projects. Finally, you look at how the use of healthier materials can lead to a healthier world. Participants in the course should have leadership-level career experience in design, architecture, contracting, or a similar field. This course will enable you to: • Shift from traditional design to a healthier materials design approach • Evaluate tools and resources for protecting human health • Apply strategies for choosing healthier materials
Scrimba
Build an AI-powered Translation App with OpenAI
The AI Translation App is a guided project aimed at building a smart, interactive application that helps users translate text between different languages. Using a simple and user-friendly interface, users can easily input text and choose the target language for translation. The AI-powered app will integrate with a translation API to: - Provide accurate translations into multiple languages 🌍 - Allow users to switch between languages instantly 🔄 - Display real-time translation results ⚡ - Handle and display translation errors or unsupported languages 🚫 By working on this project, you'll gain practical experience in API integration and asynchronous JavaScript, while building an app that makes language translation simple and intuitive for users — perfect for showcasing in your portfolio!
Johns Hopkins University
Planning a Patient Safety or Quality Improvement Project (Patient Safety III)
This course provides students with a set of tools and methodologies to plan and initiate a Problem Solving or Quality Improvement project. The first module presents methods for selecting, scoping and structuring a project before it is even initiated. It also introduces the project classifications of implementation and discovery. The second module describes the A3 problem solving methodology and the tool itself. Further in that same module, the student is shown tools to identify problems in flow, defects, and waste and to discover causes, brainstorm, and prioritize interventions. Module 3 shows a methodology within the implementation class. These methods are designed to overcome emotional and organizational barriers to translating evidence-based interventions into practice. The fourth and last module looks at one more way to approach improvement projects in the discovery class. These tools are specifically for new, out-of-the-box design thinking.
EDUCBA
Unreal Engine: Design & Control Game Materials for Beginners
This course offers a structured, hands-on journey through the core and advanced features of material creation and control in Unreal Engine. Starting from foundational concepts such as applying base colors and texture maps, learners will progress to constructing modular material systems using masks, emissive properties, and vector operations. The course emphasizes how to apply material principles, modify visual elements through parameters and instances, and implement dynamic material effects using Blueprints. By combining visual design and real-time control, learners will be able to create interactive, performance-efficient materials tailored for games and simulations. Divided into three progressive modules, the course introduces basic material building, intermediate design techniques such as color experimentation and instancing, and advanced Blueprint-driven dynamic materials. Upon completion, learners will be able to: • Create visually diverse and organized materials using Unreal Engine's node-based Material Editor • Integrate vector logic and masking for layered material effects • Configure instanced materials and control parameters in runtime through Blueprints • Apply dynamic changes to material properties like color, opacity, and emissiveness during gameplay This course is ideal for developers and technical artists looking to develop, customize, and control materials in Unreal Engine for interactive applications.
Macquarie University
Compétences Excel professionnelles : Intermédiaire I
Le tableur reste l’un des logiciels les plus fréquemment utilisés sur les lieux de travail à travers le monde. Apprendre à utiliser ce logiciel en toute confiance signifie ajouter une corde important à votre arc. Rien qu’aux États-Unis, un million d’offres d’emploi exigeant des compétences Excel sont publiées chaque jour. Des recherches effectuées par Burning Glass Technologies et Capital One montrent que les compétences numériques permettent de gagner plus et d’accéder à de meilleures opportunités d’emploi à une époque où le nombre d’emplois numériques croît bien plus vite que les emplois non numériques. Dans cette seconde formation spécialisée Compétences Excel professionnelles, vous allez construire sur les fondations solides établies avec la formation Essentiels. Le module Compétences intermédiaires I élargira vos connaissances Excel vers de nouveaux horizons. Vous allez découvrir toute une gamme de compétences et de techniques qui deviendront des éléments standards de votre utilisation quotidienne d’Excel. Grâce à cette formation, vous développerez une solide base de compétences avancées qui vous permettront de gérer de grands ensembles de données et de créer des rapports pertinents. Ces techniques et outils essentiels vous permettront d'ajouter une dimension sophistiquée d’automatisation et d’efficacité à vos tâches quotidiennes dans Excel. Encore une fois, nous avons réuni une excellente équipe pédagogique qui vous accompagnera à chaque étape. Prashan et Nicky vous guideront chaque semaine (et je vais même faire une apparition au cours de la semaine 5 pour vous aider à découvrir mon outil Excel préféré... chut, pas de spoilers !). Relevez chaque nouveau défi étape par étape et en un rien de temps, vous serez surpris(e) du chemin parcouru. Cette fois-ci, nous allons suivre les épreuves rencontrées par Uma alors qu’elle essaie de trouver ses marques à un nouveau poste dans la société fictive PushPin. Ceux d’entre vous qui ont suivi la formation Essentiels connaissent déjà l’entreprise. Travailler avec elle pour relever des défis que nous rencontrons tous les jours vous aidera à adopter plus facilement les compétences et techniques apprises chaque semaine et à les appliquer à des contextes familiers et nouveaux.
University of Huddersfield
Differential Equations & Advanced Applications
Master the foundational principles of differential calculus and unlock analytical capabilities essential for data science, engineering, and advanced mathematics. This course provides comprehensive training in derivative calculations, optimization techniques, and real-world problem-solving applications. Through systematic exploration of differentiation rules, implicit differentiation, and critical point analysis, you will develop robust mathematical reasoning skills applicable across scientific and business domains. Learn to model dynamic systems, analyze rates of change, and apply calculus techniques to solve complex optimization challenges. Whether advancing in quantitative fields or building analytical foundations for graduate studies, this course equips you with rigorous mathematical frameworks and practical computational skills to excel in data-driven decision-making and technical problem-solving.
L&T EduTech
Green Building Assessment & Certification
The course delves into sustainability, addressing the environmental impact of construction materials and advocating for the use of green products. Various green certifications and sustainable alternatives for building materials are discussed, emphasizing the importance of reducing the environmental footprint in construction. Life cycle assessment (LCA) is explained in four phases: goal and scope definition, life cycle inventory, life cycle impact assessment, and interpretation of results. Green project management, focusing on positive environmental, social, and economic impacts, is detailed across phases: project definition, design integration, construction implementation, and commissioning. The module also highlights the significant environmental impacts of buildings and introduces global green building rating systems, with a specific focus on India's GRIHA and IGBC systems and their role in promoting sustainable design practices.
Packt
Advanced Prompting & AI Tooling
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 advanced course, you'll deepen your expertise in prompt engineering and learn how to craft highly effective prompts for sophisticated AI models. The course covers a range of advanced techniques, such as the "Flip the Script" pattern, self-consistency, function calling, and more. With practical labs, you’ll experiment with these techniques, refining AI-generated prompts, and building more dynamic, flexible, and high-performing AI systems. You'll also dive into function calling and applying it to real-world tasks, as well as improving response quality through decomposition and self-critique. The course also includes a comprehensive project where you will build an AI-powered code reviewer, allowing you to apply your prompt engineering skills in a practical setting. Throughout the project, you’ll enhance the tool with features like Git integration, code logic and syntax checking, self-critique, and the creation of expert personas. The project will culminate with the migration to structured output, improving the tool’s data management and its interaction with other systems. This course is ideal for learners who have a solid understanding of AI models and prompt engineering, and wish to take their skills to the next level by designing more powerful, efficient, and customized AI-driven tools. The course requires experience in programming and basic familiarity with AI principles. By the end of the course, you will be able to build sophisticated AI-powered tools, refine and optimize prompts for complex tasks, and integrate advanced techniques like function calling and self-consistency into your AI systems.
Google Cloud
Introduction to Data Engineering on Google Cloud - Bahasa Indonesia
Dalam kursus ini, Anda akan belajar tentang data engineering on Google Cloud, peran dan tanggung jawab data engineer, dan bagaimana hal tersebut terhubung dengan penawaran yang disediakan oleh Google Cloud. Anda juga akan mempelajari cara untuk mengatasi tantangan terkait data engineering.
Edureka
Data Engineering Workflow Orchestration with Airflow
Modern data platforms rely on automated, reliable workflows to move and process data at scale. Data Engineering Workflow Orchestration with Apache Airflow equips you with the skills to design, build, monitor, and deploy production-ready data pipelines using one of the industry’s leading orchestration tools. As organizations shift toward scalable and fault-tolerant data systems, mastering workflow orchestration has become essential for data engineers and backend developers. Through structured lessons and hands-on demonstrations, you’ll learn how Apache Airflow schedules, executes, and monitors workflows across distributed systems. The course covers workflow architecture, task scheduling, operators, sensors, TaskFlow API, data pipeline design, monitoring, retries, logging, debugging, dynamic workflows, performance optimization, and CI/CD-based production deployment practices. By the end of this course, you will be able to: • Design and build scalable data pipelines using Apache Airflow. • Implement workflow orchestration with operators, sensors, and task dependencies. • Monitor, debug, and optimize pipelines using logging, retries, and performance controls. • Deploy and manage production-ready workflows with version control and CI/CD integration. • Apply reliability and data quality best practices in real-world environments. This course is ideal for aspiring data engineers, backend developers, DevOps professionals, analytics engineers, and software engineers looking to strengthen their workflow automation and production data management skills. A basic understanding of Python programming, databases, and data concepts is recommended, though prior experience with Apache Airflow is not required. Join us to master workflow orchestration and build reliable, production-grade data systems with confidence.
Institut Mines-Télécom
SCHC : A new era of interoperability
Welcome to "SCHC: A New Era of Interoperability" Are you ready to explore the cutting edge of IoT communications? We're about to embark on a fascinating journey into Static Context Header Compression (SCHC), a groundbreaking technology that's revolutionizing how IoT devices communicate across networks. This comprehensive course combines theoretical foundations with hands-on practical experience, offering you a unique opportunity to master a technology that's shaping the future of device interconnectivity. Throughout this course, you'll discover how SCHC optimizes network communications, making IoT deployments more efficient and scalable than ever before. You'll explore into the architecture of SCHC, understand its implementation in real-world scenarios, and gain practical experience through our carefully designed hands-on exercises. Whether you're an IoT developer looking to enhance your skills, a network engineer seeking to optimize your infrastructure, or a technical professional eager to stay ahead of industry trends, this course will equip you with the knowledge and practical skills you need. Our interactive learning approach combines engaging lectures with real-world demonstrations and practical laboratories, ensuring you not only understand the concepts but can apply them confidently in your own projects. By the end of this course, you'll be well-prepared to implement SCHC in your IoT solutions and contribute to the evolving landscape of connected devices. Join us as we step into the future of IoT interoperability and discover how SCHC is transforming the way our connected world communicates.
Packt
AI-Powered Presentations with Copilot – PowerPoint
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. Unlock the full potential of Microsoft Copilot in PowerPoint and create stunning AI-powered presentations effortlessly. This course will guide you through the core features of Microsoft Copilot and help you enhance your design skills with advanced AI integration. You'll explore practical tools such as Microsoft Designer, Copilot's slide-by-slide suggestions, custom templates, and more, ensuring you can design professional presentations with ease and creativity. Throughout the course, you will learn how to create presentations from scratch, incorporate AI-generated content, and polish your slides with smart design adjustments. You'll also discover ways to leverage Copilot's scanning capabilities, summarize lengthy presentations, and integrate multimedia elements seamlessly. With real-world examples and hands-on practice, the course empowers you to use Copilot to elevate your presentation creation process. This course is ideal for anyone looking to improve their PowerPoint presentation skills with AI assistance. Whether you're a business professional, student, or educator, you'll benefit from understanding how AI tools can save time and enhance your design workflow. The course is designed for beginners and intermediate learners, and no prior experience with Copilot is required. By the end of the course, you will be able to create visually appealing and cohesive presentations using Microsoft Copilot, craft narratives effectively, integrate multimedia and AI-generated content, and use advanced PowerPoint features for optimal design and presentation flow.
Coursera
Govern Your GenAI Data Safely
The explosion of generative AI has created unprecedented data governance challenges that traditional approaches can't handle. This course equips you with the specialized skills to govern GenAI data safely while maintaining operational agility. This Short Course was created to help machine learning and AI professionals accomplish secure, compliant GenAI data governance at enterprise scale. By completing this course, you'll be able to design sophisticated role-based access control systems, assess your organization's governance maturity using industry frameworks like DAMA-DMBOK, and create comprehensive stewardship programs that balance innovation with security. These are the foundational skills that separate GenAI operations that scale safely from those that create compliance nightmares. By the end of this course, you will be able to: - Analyze data access patterns across user cohorts to recommend precise role-based controls - Evaluate governance maturity using established frameworks to identify strategic improvement opportunities - Create data stewardship programs with clear ownership, quality standards, and governance procedures This course is unique because it bridges the gap between cutting-edge GenAI capabilities and enterprise-grade governance, focusing specifically on the intersection of AI operations and data security. To be successful in this project, you should have experience with data analytics, understanding of enterprise risk concepts, and familiarity with AI/ML environments.
Google Cloud
Work with Gemini Models in BigQuery - Français
Ce cours montre comment utiliser des modèles d'IA/de ML pour des tâches d'IA générative dans BigQuery. À travers un cas d'utilisation pratique faisant intervenir la gestion de la relation client, vous étudierez le workflow de résolution d'un problème métier à l'aide de modèles Gemini. Pour faciliter la compréhension, le cours fournit également des instructions détaillées tout au long du codage des solutions à l'aide de requêtes SQL et de Notebooks Python.
Coursera
إنشاء عقد مشروع باستخدام محرر مستندات جوجل
هل تم تكليفك بإدارة مشروع ولا تعرف كيفية البدء في التقاط جميع المعلومات ذات الصلة بتنسيق موجز ودقيق؟ بنهاية هذا المشروع ، ستنشئ مستندًا رئيسيًا ومستندًا حيًا يحتوي على معلومات مهمة يمكنك أنت وأصحاب المصلحة الرجوع إليها أثناء تطور مشروع عقد المشروع هو مستند حي يعرض المعلومات الأساسية للمشروع ، مثل اسم المشروع والجهات الراعية والمشكلة وبيانات الهدف والنطاق والفوائد والجدول الزمني. يتم استخدامه عادةً في منهجية Lean Six Sigma DMAIC (التحديد والقياس والتحليل والتحسين والتحكم) في بداية المشروع ، ويُشار إليه باستمرار طوال عمر المشروع ، وبعد ذلك. باستخدام الحد الأدنى من المهارات البرمجية ، ستتمكن من تصنيف هذه المعلومات في مستند باستخدام بنية جدول بسيطة. ستتضمن هذه الدورة مهارات على مستوى المبتدئين باستخدام محرر مستندات Google. يعد إنشاء ميثاق مشروع منظم منطقيًا طريقة رائعة ليس فقط لتلخيص جميع الأجزاء المتحركة لمشروعك في مستند واحد سهل الاستخدام ولكن أيضًا لقياس نجاح مشروعك. ملاحظة: تعمل هذه الدورة التدريبية بشكل أفضل للمتعلمين المقيمين في منطقة أمريكا الشمالية. نعمل حاليًا على توفير نفس التجربة في مناطق أخرى.