The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Erstelle ein digitales Moodboard in Canva
Nach Abschluss dieses Projekts wirst du gelernt haben ein digitales Mood Board mit Hilfe der Gratis Version von Canva zu kreieren. Bei einem Moodboard handelt es sich um eine Collage, in der Materialien, Bilder, Text und andere Designelemente arrangiert werden, um einen Gesamteindruck über ein Design- oder Gestaltungskonzept zu vermitteln. Das Ziel besteht darin, eine Visualisierung laufender Projekte zu schaffen. Die web basierte Plattform Canva bietet alle nötigen Werkzeuge um visuell attraktive und organisierte Produkte alleine, oder als Team zu kreieren und zu teilen. Mit Hilfe von Canva wirst du lernen Fotos, Text und andere Designelemente in dein Projekt einzufügen. Zunächst wirst du deine Gedanken und Ideen sortieren, um sie dann mit Hilfe der webbasierten Grafikdesign Plattform zum Leben zu erwecken und ein Moodboard zu erstellen, welches dir als Vorlage für zukünftige Projekte dienen wird.
Tecnológico de Monterrey
Fundamentals of entrepreneurship in the family business
Nowadays, family businesses are indispensable in our economy. However, it is very important to identify the tools and strategies of success that allow them to transcend in a competitive environment. For that reason, this entrepreneurship course gives you the opportunity to know and apply best practices, taking into account entrepreneurship and innovation models that will allow you to take advantage of the strengths that posseses the family business, in order to create a suitable business for next generations. In this entrepreneurship course you will have the opportunity to know the instruments and components that involve entrepreneurship; from ideation, market validation and value proposition, to present your sales plan to attract investors (Business Pitch). This online course delivers the knowledge and tools necessary for the success of a venture in the family business. The Center for Entrepreneurial Families and EGADE Business School of the Tecnológico de Monterrey is the ideal institution to develop these skills, since Tecnológico de Monterrey is the number 1 university in Mexico and the 6th best in Latin America according to Times Higher Education (THE) 2016. Professors at Center for Entrepreneurial Families are highly qualified and recognized as part of the worldwide STEP project for family entrepreneurship, and EGADE Business School is the number 1 business school in Latin America in MBA program, according to the ranking of AméricaEconomía.
Google Cloud
IA generativa: más allá del chatbot
Gen AI: Beyond the Chatbot is the first course of the Gen AI Leader learning path and has no prerequisites. This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization. You explore concepts like foundation models and prompt engineering, which are crucial for leveraging the power of gen AI. The course also guides you through important considerations you should make when developing a successful gen AI strategy for your organization.
Indian Institute of Science
Designing a MEMS-Based Sensor for Exhaled Breath Analysis
Welcome to the Capstone Project on sensor technologies for biomedical applications! This course is designed for ambitious students, researchers, and professionals in biomedical, electrical, mechanical engineering, and related fields who are eager to tackle real-world challenges using their foundational knowledge of sensors. If you've completed the preceding courses in the Sensor Technologies for Biomedical Applications specialisation, now is your chance to elevate your skills. Get ready to propel your career in biomedical innovation, contribute to groundbreaking healthcare solutions, and deepen your expertise in sensor technology. In this hands-on, dynamic project, you'll design and fabricate a MEMS-based sensor for exhaled breath analysers. Imagine developing a tool that can perform early disease screenings for conditions like liver cirrhosis and lung cancer - this project's impact could be enormous. You'll bridge theory with real-world application, honing your skills in sensor design, fabrication, and electronic interfacing. By completing this course and the specialisation, you'll gain the expertise and confidence to drive biomedical technology innovations, significantly boosting your career prospects in the healthcare industry. Join us and embark on an exciting journey to develop a life-saving diagnostic solution!
DeepLearning.AI
Réseaux neuronaux convolutifs
Ce cours vous apprendra à créer des réseaux neuronaux convolutifs et à les appliquer aux données d'image. Grâce à l'apprentissage en profondeur, la vision par ordinateur fonctionne beaucoup mieux qu'il y a seulement deux ans, ce qui permet de nombreuses applications passionnantes allant de la conduite autonome en toute sécurité, à la reconnaissance faciale précise, à la lecture automatique des images radiologiques. Vous allez: - Comprendre comment créer un réseau neuronal convolutif, notamment les variations récentes telles que les réseaux résiduels. - Savoir appliquer les réseaux convolutifs aux tâches de détection et de reconnaissance visuelles. - Savoir utiliser le transfert de style neuronal pour générer de l'art. - Être à même d'appliquer ces algorithmes à une variété d'images, de vidéos et d'autres données 2D ou 3D. Il s'agit du quatrième cours de spécialisation d'apprentissage approfondi.
Coursera
تعرَف على هياكل البيانات في بايثون من خلال التطبيق العملي
في هذه الدورة التدريبية القائمة على المشروع والتي تستغرق ساعة ونصف تقريباً، ستتعرف على هياكل البيانات المختلفة في لغة البرمجة بايثون، كما ستتعلم كيفية التعامل مع الملفات فتحها وقرائتها وكتابتها عن طريق استخدام بايثون، وستقوم بكتابة مجموعة من البرامج البسيطة من خلال تطبيق ما ستتعلمه خلال المشروع. هياكل البيانات هي مفاهيم أساسية في علوم الكمبيوتر وهي مهمة جدا في البرمجة ولتتعامل مع أغلب البرامج والتطبيقات البرمجية سيكون عليك التعامل مع القوائم و القواميس و غيرها من هياكل البيانات. هياكل البيانات هي طريقة لحفظ سلسلة من البيانات في بايثون، قد تكون هذه البيانات المخزنة من نفس النوع أو مختلفة في الأنواع (قد تكون أرقام أو نصوص أو غيرها من أنواع البيانات في باثون)، في هذا المشروع ستتعرف على هياكل البيانات المختلفة وكيفية التعامل معها وكيفية استخدامها لكتابة البرامج البرمجية. ليس بالضرورة أن يكون لديك خبرة سابقة في البرمجلة بلغة بايثون حيث أن الشرح سيكون بسيط وواضح ومع التطبيق العملي ستتمكن من الوصول لأهداف هذا المشروع، ولكن بالتأكيد إن كان لديك معرفة سابقة بأساسيات البرمجة بلغة البرمجة بايثون ستكون الاستفادة أكبر وسيكون فهمك لمفاهيم الدورة أسهل وأسرع.
L&T EduTech
Machineries for Heavy Lifting
This course covers the essential aspects of lifting and rigging operations in engineering. Beginning with an in-depth study of winches, pulley blocks, and related lifting mechanisms, learners gain fundamental knowledge and practical skills necessary for effective utilization in engineering scenarios. The module on cranes expands this knowledge by covering basics, configurations, and safety practices crucial for crane operations, including detailed insights into tower cranes and their operational considerations. Specialized handling of oversized and overweight cargos is addressed comprehensively, focusing on logistics and transport techniques using trailers, multi-axle systems, and SPMTs. Furthermore, the exploration of handling provisions and structural design highlights the design principles and procedures for creating robust structures and efficient handling solutions essential for diverse engineering projects. Overall, these modules equip learners with the expertise needed to navigate complex lifting challenges and ensure safety and efficiency in industrial settings. Target Learners: • Undergraduate students of Civil Engineering • Undergraduate students of Mechanical Engineering • Post-Graduate Students in Civil and Mechanical Engineering. • Practicing Engineers involved in heavy lifting in construction. • Faculties in Civil and Mechanical Engineering. • Professionals in construction industry • Engineers and project managers involved in large projects Prerequisites: • Basics of Civil Engineering • Basics of Mechanical Engineering • Basics of Engineering Mechanics • Understanding of Construction Techniques
Coursera
Portfolio Diversification using Correlation Matrix
By the end of the project, you will be able to apply correlation matrix in portfolio diversification. ATTENTION: To take this course, it is required that you are familiar basic financial risk management concepts. You can gain them by taking the guided project Compare Stock Returns with Google Sheets. Note: This course works best for learners who are based in the North America region. We're currently working on providing the same experience in other regions. This course's content is not intended to be investment advice and does not constitute an offer to perform any operations in the regulated or unregulated financial market
University of London
Teaching EFL/ESL Reading: A Task Based Approach
This course explores ways of teaching reading skills in English as Second and Foreign Language (ESL/EFL) using a task-based approach. You will be introduced to the concept of task and the key principles of task-based language teaching (TBLT) and learning. TBLT uses communicative tasks as the key unit for creating language learning activities. You will also examine the role of reading in real-life and in second and foreign language teaching and current thinking about the interface between TBLT and second language reading. You will explore how TBLT and teaching second language reading can be successfully integrated in practice through analysing task-based reading materials. The course culminates in creating task-based materials for teaching reading in your own language teaching contexts. After completing the course, you will be able to: 1. Explain the main components and tenets of a task-based approach to teaching language; 2. Explain the main issues involved in teaching reading; 3. Illustrate connections between TBLT approaches and the teaching of reading; 4. Integrate tasks into your own teaching; 5. Identify reading texts that are suitable for the construction of tasks; and 6. Construct reading tasks and sequences for use in your own classroom.
Coursera
GenAI for Dynamic Advertising and Media Buying
Discover how Generative AI (GenAI) is transforming the advertising landscape in our beginner-level course, "GenAI for Dynamic Advertising and Media Buying." This course provides an actionable roadmap to harnessing the power of AI for creating personalized ad content, automating campaigns, and optimizing performance. With hands-on demonstrations of tools like Google Ads AI, Facebook Ads Manager, Bannerboo, and Elai, you’ll learn how to build dynamic ad content that speaks directly to your target audience. Through practical assignments and real-world case studies, this course gives you the skills to automate your media buying, improve your return on investment (ROI), and stay ahead in the rapidly evolving world of digital advertising. This course is tailored for marketers, advertising specialists, and small business owners responsible for creating and managing ad campaigns. It’s also ideal for digital marketing professionals interested in automating processes and boosting campaign performance with the latest AI tools. Whether you’re looking to streamline media buying or craft more dynamic, data-driven ad experiences, this course will equip you with essential GenAI skills for advertising. A basic understanding of digital marketing concepts and experience with popular advertising platforms like Google Ads and Facebook Ads will help participants get the most from this course. Familiarity with ad creation and campaign management basics is recommended, though no advanced technical expertise is necessary, as AI tools simplify complex tasks. By the end of this course, learners will understand the key benefits of GenAI in advertising, be able to create personalized ad creatives with tools like Gemini, Bannerboo, and Elai while respecting data privacy, and set up automated campaigns using AI-driven platforms like Google Ads AI and Facebook Ads Manager. Participants will also gain skills in analyzing key metrics, such as CPA, CTR, and ROAS, using analytics to optimize campaign performance effectively.
Packt
JavaScript Fundamentals
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. JavaScript Fundamentals begins with an introduction to JavaScript's role in modern web development, covering tool installation and writing initial programs. As the course progresses, you will: - Cover variables, data types, and memory functions. - Learn about conditional statements and loops, crucial for dynamic code, through practical activities and coding challenges. - Explore Functions, return values, scope, and recursion are thoroughly explored to enhance problem-solving skills. - Conclude with object-oriented programming, DOM manipulation, and event handling, ensuring students are prepared for advanced topics and sophisticated web applications. The course is tailored for beginners with basic HTML and CSS knowledge, and intermediate developers seeking to refresh their skills. By the end, students will be adept at creating and manipulating variables, implementing control structures, developing modular code through functions, applying object-oriented principles, manipulating the DOM, and handling events for better user interaction, building a strong foundation for advancing their coding careers.
Johns Hopkins University
Evidence-based Toxicology
Welcome to the Evidence-based Toxicology (EBT) course. In medicine and healthcare, evidence-based medicine has revolutionized the way that information is evaluated transparently and objectively. Over the past ten years, a movement in North America and Europe has attempted to translate this revolution to the field of toxicology. The Center for Alternatives to Animal Testing (CAAT) within the department of Environmental Health and Engineering at the Johns Hopkins Bloomberg School of Public Health hosts the first chair for EBT and the secretariat for the EBT Collaboration on both sides of the Atlantic. Based on the Cochrane Collaboration in Evidence-based Medicine, the EBT Collaboration was established at the CAAT to foster the development of a process for quality assurance of new toxicity tests for the assessment of safety in humans and the environment. Regulatory safety sciences have undergone remarkably little change in the past fifty years. At the same time, our knowledge in the life sciences is doubling about every seven years. Systematic review and related evidence-based approaches are beginning to be adapted by regulatory agencies like the Environment Protection Agency (EPA), the European Food Safety Authority (EFSA), and the US National Toxicology Program. They provide transparent, objective, and consistent tools to identify, select, appraise, and extract evidence across studies. This course will showcase these emerging efforts and address opportunities and challenges to the expanded use of these tools within toxicology.
28DIGITAL
Web of Data
This MOOC – a joint initiative between EIT Digital, Université de Nice Sophia-Antipolis / Université Côte d'Azur, and INRIA - introduces the Linked Data standards and principles that provide the foundation of the Semantic web. You will learn how to publish, obtain and use structured data directly from the Web. Learning the principles, languages, and standards to exchange data on the Web will enable you to design and produce new applications, products, and services that leverage the volume and variety of data the Web holds. We divided this course into four parts that cover the core technical skills and competencies you need to master to be able to use the Web as a space for giant structure data exchange: • in the first part, “Principals of a Web of Linked Data”: you will learn and practice the principles to publish and obtain data directly on the Web instead of Web pages; • in the second part, “The RDF Data Model”: you will learn the standard data model for the Web and its syntaxes to publish and link data on the Web in your applications and services; • in the third part, “SPARQL Query Language”: you will learn how to directly query and access data sources on the Web and obtain structured data relevant to your activity and domain; • in the fourth and final part, “Integration of other Data Formats and Sources”: you will learn how the Web standards interact and interoperate with other data formats to allow the integration of a variety of data sources. Each week alternates short videos and quizzes, as well as supplementary resources and forums to gradually progress through the different principles and standards. After following this course successfully, you will have the skills to obtain focused and structured datasets from the Web that you can then use to augment your own datasets, enrich their dimensions, feed your applications, perform data mining, machine learning, and training, data analysis, AI processing and reasoning and other data management.
Packt
Deep Learning & Modern AI Architectures
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. This course will introduce you to the cutting-edge techniques and architectures in deep learning and AI. You will start by mastering the fundamentals of neural networks and deep learning, including key concepts like forward propagation, backpropagation, and gradient descent. From there, you will advance to Convolutional Neural Networks (CNNs) for image classification tasks and Recurrent Neural Networks (RNNs) for sequence modeling tasks such as time series prediction and text generation. As you progress, you will explore the revolutionary Transformer architecture, its self-attention mechanism, and its application in Natural Language Processing (NLP) tasks like text summarization and translation. This course will also cover transfer learning, allowing you to fine-tune pre-trained models for your own tasks, saving time and improving model accuracy. With hands-on projects using frameworks like TensorFlow, Keras, and PyTorch, you will apply your skills to real-world challenges. The course is designed for intermediate learners with prior knowledge of machine learning or neural networks. If you're a machine learning enthusiast or aspiring AI engineer looking to deepen your understanding of deep learning models and their real-world applications, this course will take your skills to the next level. By the end of the course, you will be able to design and implement advanced deep learning models, including CNNs, RNNs, and Transformers, and use transfer learning techniques to fine-tune models for specific tasks such as image classification, text generation, and more.
Packt
Foundations of IT Project Management
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. Gain the knowledge and tools needed to effectively manage IT projects from start to finish. This comprehensive course explores the fundamental principles of project management, tailored specifically for IT initiatives. By the end, you'll be adept at handling project scope, schedules, resources, and risks while ensuring alignment with corporate policies and security requirements. Starting with the essentials, you'll learn what defines a project and how IT projects fit into larger programs and portfolios. From there, the course dives into IT-specific concepts, including infrastructure, cloud models, and enterprise software, providing a solid foundation for managing technology-driven projects. Next, you'll delve into security considerations critical for IT projects, such as physical, operational, and data security. You'll also explore compliance and privacy issues, ESG factors, and corporate IT policies. Finally, the course concludes with an in-depth exploration of project management methodologies like Agile, Waterfall, and DevOps, and frameworks like Scrum, Kanban, and SAFe. This course is ideal for IT professionals, project managers, and anyone looking to specialize in IT project management. With no prior knowledge of project management required, this beginner-to-intermediate course is your gateway to mastering IT project management fundamentals.
Google Cloud
Google Docs 日本語版
Google ドキュメントを使用すると、ドキュメントがクラウドに保存され、任意のパソコンまたはデバイスからアクセスできます。ウェブブラウザでドキュメントを作成および編集できます。特別なソフトウェアは必要ありません。さらに、複数のユーザーが同時に作業することができ、ユーザーが変更を行ったときにその変更を確認することも可能です。各変更は自動的に保存されます。 このコースでは、Google ドキュメントの開き方、新しいドキュメントの作成と書式設定の方法、新しいドキュメントへのテンプレートの適用方法について説明します。 目次、ヘッダーとフッター、表、図、画像などを使用してドキュメントの質を高める方法を説明します。 ドキュメントを他のユーザーと共有する方法について説明します。共有オプションのほか、共同編集者のロールと権限を確認します。ドキュメントのバージョンを管理する方法について説明します。 Google ドキュメントを使用すると、同じドキュメントで他のユーザーとリアルタイムで共同作業できます。ドキュメント内のコメントとアクション アイテムを作成、管理する方法について説明します。 複数の Google ドキュメント ツールを確認します。自分のスタイルに合わせて環境設定を行う方法を理解し、Google Explore などのツールを使用してコンテンツの価値を高める方法を検討します。