The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Tecnológico de Monterrey
Introducción a la gestión de proyectos
¿Por qué iniciamos un proyecto? ¿Cómo debemos iniciarlo? ¿es importante planearlo? ¿Qué hacemos cuando ya lo estamos desarrollando? ¿por qué hay personas que se desarrollan profesionalmente en la gestión de proyectos? En este primer curso podrás comprender la naturaleza de los proyectos y la manera como debes gestionarlos de principio a fin. Conoceremos también sobre la institución líder a nivel mundial en temas de gestión de proyectos, sus estándares y certificaciones con reconocimiento internacional y los beneficios que ofrece para ti y para tu organización. También comprenderás en qué consisten las certificaciones profesionales y sus requisitos para reconocer el valor y los beneficios que ofrecen gracias a los altos estándares de calidad que el instituto ha cuidado y perfeccionado a través de los años. Los objetivos del curso 1 son los siguientes: • Definir la especificación de un proyecto. • Establecer el alcance de un proyecto. • Conocer las herramientas básicas para planear un proyecto. • Comprender las habilidades del administrador durante la planeación de un proyecto.
Georgia Institute of Technology
Speak English Professionally: In Person, Online & On the Phone
Do you want to speak better English? This course will help you reach that goal. Speak English Professionally: In person, Online and On the Phone will boost your English speaking skills. In this 5 week course, you will learn how to identify and make a strong personal introduction. You will develop and demonstrate the speaking skills for group discussions: how to agree or disagree, how to clarify, restate and summarize. You will review and practice how to give information and respond to requests on the phone. You will study and role play effective interviewing. You will prepare and give a sales “pitch”, introducing a product or service. Throughout the course, you will adjust how you speak English and you will become more fluent and accurate when you speak. You will demonstrate culturally appropriate body language and tone. As you work through the course, you will complete self- and peer-evaluations. Through a combination of lectures, comprehension and vocabulary quizzes, practice and performance, you’ll gain the skills and confidence to communicate well in English, anywhere in the world. By the end of this course you will: • Change how you speak English • Improve your pronunciation and fluency • Increase your English vocabulary • Identify how culture influences your speech • Use culture to help you speak correctly • Demonstrate the best body language for different cultural settings • Know statements, questions and responses for different settings and situations
University of Colorado System
Queering the Schoolhouse: LGBTQ+ Inclusion for Educators
In this course, you will learn about the history of LGBTQ+ issues in education and develop strategies for building more inclusive learning environments for students, teachers, and community members. This course will provide you with insights and equip you with strategies for exploring inclusion for lesbian, gay, bisexual, transgender, and queer or questioning learners in your specific professional context. Throughout the videos, reading assignments, and additional resources we’ve provided, you’ll be exposed to a range of concepts and techniques for enhancing LGBTQ+ inclusion. You’ll be challenged to integrate those concepts and techniques in your practice as an educator. We’ve created this course for anybody who’s interested in learning more about LGBTQ+ identities and experiences. We specifically designed it for educators who want to explore issues related to LGBTQ+ inclusion in their classrooms. Whether you’re brand new to this topic or you’ve been thinking and talking about LGBTQ+ issues for most of your life, we hope you’ll learn and grow as you work through this class.
Packt
Deep Learning: Convolutional Neural Networks with TensorFlow
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. Unlock the potential of deep learning by mastering Convolutional Neural Networks (CNNs) and Transfer Learning with hands-on experience using TensorFlow and Keras. This course offers a comprehensive introduction to CNNs, guiding you through their theoretical foundations, practical implementations, and applications in both image and text classification. With hands-on coding in TensorFlow, you'll build, optimize, and experiment with real-world datasets like CIFAR-10 and Fashion MNIST. Dive deep into Convolutional Neural Networks (CNNs) with TensorFlow. Starting with the basics of convolution, you'll explore advanced topics like data augmentation, batch normalization, and transfer learning. You'll not only work on image datasets but also gain insights into applying CNNs for natural language processing (NLP). Whether you are building from scratch or using pre-trained models, this course equips you with the skills to deploy CNNs in real-world applications. The course begins by establishing a strong theoretical understanding of CNNs, breaking down convolutions, filters, and layers. After this, you'll implement CNNs for popular datasets like Fashion MNIST and CIFAR-10, diving into hands-on coding sessions with TensorFlow and Keras. Practical exercises such as data augmentation and batch normalization will enhance your ability to improve model performance. Later, you'll explore CNNs in the context of natural language processing, understanding how CNNs can be applied to text classification. The final section focuses on transfer learning, where you'll work with pre-trained models like VGG and ResNet and apply them to new datasets. This course is ideal for data scientists, machine learning engineers, and developers familiar with Python, TensorFlow, and basic deep learning concepts. You should have a solid understanding of neural networks, and experience with coding in Python is necessary to follow the practical aspects of the course. Familiarity with TensorFlow is recommended but not mandatory.
Packt
Ollama & DeepSeek Reasoning Model Masterclass
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 potential of advanced AI reasoning with this hands-on masterclass, focusing on the DeepSeek R1 and Ollama models. You’ll dive deep into the architecture, core capabilities, and real-world applications of these powerful tools, enabling you to develop your own AI applications from scratch. Learn to configure, install, and implement these models in various scenarios, all while honing your development skills. The course is structured to guide you through both conceptual and practical aspects. Starting with the fundamentals, you'll explore the DeepSeek R1’s design, capabilities, and model variations before learning how to deploy it effectively. We will introduce you to Ollama and show you how to integrate DeepSeek R1 with Ollama, culminating in real-world use cases such as document analysis, code assistance, and AI multi-agent systems. You'll be provided with hands-on examples and tutorials that give you the confidence to apply these skills in your projects. By the end of the course, you will have a deep understanding of how these models work, how to integrate them into your own AI projects, and how to leverage them to solve complex tasks. This journey will ensure you’re well-equipped with the skills needed for cutting-edge AI development and integration. This course is ideal for developers, data scientists, and AI enthusiasts who want to explore the latest in AI reasoning models and how to utilize them effectively in real-world applications. A solid grasp of basic programming and AI concepts is recommended, though the course covers the tools and setup you'll need. By the end of the course, you will be able to confidently set up DeepSeek R1 and Ollama in your development environment, create and integrate AI models in your projects, and build advanced applications such as code assistants and document analyzers.
The University of Hong Kong
口腔种植学 （Implant Dentistry）
口腔种植学是口腔教育中较新的学科。虽然现在我们都有共识，种植⽛相关的理论知识，⽆论是治疗⽅案的规划，还是后期的随访和维护，对于每⼀个职业⽛医都⾮常重要。然⽽，在当下全球的口腔医学本科培养体系中，它的覆盖程度还远远落后于其重要性。 在此背景下，香港大学口腔医学院联合⾹港⼤学的线上教育专业团队，历时⼀年有余，设计并制作了这门为期五周的⽹络公开课，旨在传播以循证医学为基础的，客观、全⾯的⽛种植学相关知识。这门课程⾯向全球，双语教学，完全免费。学员将在20 多位全球领先的种植学专家的带领下，完成五个模块，系统地学习⽛种植学。
EDUCBA
Apply Multisim GUI Skills for Circuit Design
Learners will be able to navigate the Multisim graphical user interface, organize circuit designs, place and connect components, run simulations, analyze errors, and validate circuits using built-in tools. By the end of this course, learners will confidently apply Multisim’s menus, toolbars, design workspace, and simulation features to build, test, and troubleshoot electronic circuits. This course benefits learners by providing a structured, hands-on pathway to mastering Multisim’s GUI, reducing trial-and-error and improving efficiency in circuit design workflows. Learners gain practical skills in hierarchical design, component placement, connectivity using buses, simulation execution, error identification through log trails, and validation using Electrical Rules Check. What makes this course unique is its end-to-end focus on real-world Multisim usage through interface-driven learning. Rather than isolated features, learners experience how menus, toolbars, design tools, simulation settings, wizards, and validation tools work together in realistic design scenarios. The course is ideal for learners who want to move beyond basic familiarity and confidently apply Multisim in academic or professional circuit design contexts.
Amazon Web Services
Exploring Artificial Intelligence Use Cases and Applications
In this course, you will explore real-world use cases in artificial intelligence (AI), machine learning (ML), and generative artificial intelligence (generative AI) across a range of industries. These areas include healthcare, finance, marketing, entertainment, and more. You will also learn about AI, ML, and generative AI capabilities and limitations, model selection techniques, and key business metrics.
Packt
A Detailed Guide to the OWASP Top 10
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. Dive into the critical world of web and API security with this comprehensive guide to the OWASP Top 10 vulnerabilities. Whether you’re a seasoned professional or a beginner exploring cybersecurity, this course equips you with the knowledge and tools to identify, understand, and mitigate the most significant security risks to web applications and APIs. From access control to secure API consumption, you’ll gain the skills to safeguard your digital environment. The course begins with an overview of essential tools and foundational concepts, preparing you for an in-depth journey into OWASP’s Top 10 vulnerabilities. Each module is structured around a specific risk, explaining its mechanisms, real-world implications, and actionable prevention techniques. Interactive lessons and practical examples ensure you can apply these concepts directly to your projects. In the second half, we shift focus to the OWASP API Security Top 10 for 2023, delving into unique risks associated with APIs. From broken object-level authorization to server-side request forgery, these sessions emphasize modern API security practices, helping you protect critical data flows and services in today’s interconnected systems. Designed for developers, security professionals, and enthusiasts, this course assumes no prior cybersecurity expertise. A fundamental understanding of web development and APIs will help maximize your learning, but all key concepts are thoroughly explained. Start your journey today to become a security-conscious developer or IT professional!
Google Cloud
Introduction to Large Language Models - 日本語版
このコースは、大規模言語モデル（LLM）とは何か、どのようなユースケースで活用できるのか、プロンプトのチューニングで LLM のパフォーマンスを高めるにはどうすればよいかについて学習する、入門レベルのマイクロ ラーニング コースです。独自の生成 AI アプリを開発する際に利用できる Google ツールも紹介します。
University of Minnesota
Introduction to Software Testing
After completing this course, you will have an understanding of the fundamental principles and processes of software testing. You will have actively created test cases and run them using an automated testing tool. You will being writing and recognizing good test cases, including input data and expected outcomes. After completing this course, you will be able to… - Describe the difference between verification and validation. - Explain the goal of testing. - Use appropriate test terminology in communication; specifically: test fixture, logical test case, concrete test case, test script, test oracle, and fault. - Describe the motivations for white and black box testing. - Compare and contrast test-first and test-last development techniques. - Measure test adequacy using statement and branch coverage. - Reason about the causes and acceptability of and poor coverage - Assess the fault-finding effectiveness of a functional test suite using mutation testing. - Critique black-box and white-box testing, describing the benefits and use of each within the greater development effort. - Distinguish among the expected-value (true), heuristic, consistency (as used in A/B regression), and probability test oracles and select the one best-suited to the testing objective. - Craft unit and integration test cases to detect defects within code and automate these tests using JUnit. To achieve this, students will employ test doubles to support their tests, including stubs (for state verification) and mocks (for behavioral verification) (https://martinfowler.com/articles/mocksArentStubs.html). This course is primarily aimed at those learners interested in any of the following roles: Software Engineer, Software Engineer in Test, Test Automation Engineer, DevOps Engineer, Software Developer, Programmer, Computer Enthusiast. We expect that you should have an understanding of the Java programming language (or any similar object-oriented language and the ability to pick up Java syntax quickly) and some knowledge of the Software Development Lifecycle.
Universidad Nacional Autónoma de México
¿Ves la Erosión? Claves para Identificarla
Quien egresa tendrá elementos para identificar las formas erosivas, los agentes que las ocasionan, su importancia y su relación con los procesos de degradación y el uso del suelo. El egresado además, tendrá habilidades para caracterizar y aplicar técnicas básicas de conservación de suelos bajo un enfoque integrado.
University of Colorado System
Requirements Gathering for Secure Software Development
In Software Requirements Elicitation for Secure Software Development, we're going to discuss the overall software requirements process as it applies in waterfall, spiral, and agile models. You'll learn about each of these processes and your goals as a software requirements analyst. This is not an easy task! Who do you talk to, when, and what kind of knowledge are you trying to obtain, in any software life cycle? How do you handle obstacles as you go? These are the questions we will focus on answering in this specialization.
Pearson
Certified Associate in Project Management (CAPM)® Exam: Unit 1
This course is designed for those aiming to pass the Certified Associate in Project Management (CAPM) Exam. This course is updated to meet current industry standards and is ideal for entry-level and associate-level professionals. It covers the basics of project management and teaches you how to handle different project types, including predictive, hybrid, and adaptive methods. You'll also learn key business analysis skills to ensure project success. With no prerequisites, this course is open to everyone and provides a clear path to mastering project management essentials.
University of Michigan
Cómo inspirar y a motivar personas
En este curso, aprenderá a crear una visión compartida para su equipo y a comunicarla con eficacia a sus compañeros. También aprenderá a fijar metas y expectativas eficaces de un modo que le permita a su equipo alcanzar esa visión compartida. Por último, comprenderá las necesidades y los factores de desempeño más importantes en todas las culturas y aprenderá a alinear incentivos con conductas deseadas, para motivar a sus compañeros a alcanzar los objetivos del equipo. La motivación es un desafío esencial en las organizaciones modernas. Una encuesta reciente de Gallup reveló que solo el 13 % de los trabajadores de todo el mundo exhiben niveles altos de compromiso y motivación. Le mostraremos por qué estos problemas de motivación no solo se deben a miembros de equipo “desmotivados” o “de bajo desempeño”. Por el contrario, la motivación se basa en las condiciones laborales que creamos para nuestros compañeros de equipo, la forma en que estructuramos metas y objetivos, y la manera en que recompensamos el logro de esas metas. Este curso lo ayudará a diagnosticar y resolver problemas de motivación, para que pueda obtener el máximo desempeño de las personas.
MongoDB Inc.
Introduction to MongoDB
"Introduction to MongoDB" guides you through the foundational skills and knowledge you need to get started with MongoDB. Get an introduction to MongoDB Atlas, the developer data platform, and how to create and deploy an Atlas cluster. Discover how MongoDB structures data in documents similar to JSON objects, making it flexible and developer friendly. Learn how to connect to a MongoDB database and perform simple CRUD operations and other key tasks, such as aggregation, indexing, data modeling, transactions, and creating a search experience for the users of your app. By the end of this course, you’ll have the skills you need to start working with MongoDB.