The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Pontificia Universidad Católica del Perú
Bienestar PUCP: prevención del hostigamiento sexual
El curso MOOC "Bienestar en la PUCP: Prevención del hostigamiento sexual" está diseñado para fortalecer las habilidades docentes para reconocer las señales del hostigamiento sexual e intervenir de manera adecuada. A través de este curso, los participantes tendrán la oportunidad de explorar conceptos clave, identificar las dimensiones visibles e invisibles de la violencia basada en género, y reconocer las políticas y procedimientos institucionales para prevenir, abordar y sancionar el hostigamiento sexual en el entorno universitario. Este curso ofrece una combinación de teoría y práctica, enfatizando la importancia del consentimiento, la confidencialidad y la empatía. Además, se abordarán estrategias para promover un ambiente universitario seguro, equitativo y respetuoso para todas y todos los miembros de la comunidad. El resultado de aprendizaje esperado es que docentes y predocentes identifiquen conductas de hostigamiento sexual (HS) en el marco de sus funciones, con la finalidad de actuar de manera oportuna, considerando el HS como violencia de género según el marco de los derechos humanos, el marco legal peruano y el reglamento institucional de la universidad.
UBITS
El desarrollo de una startup
Este curso está dedicado a todo el público interesado en aprender acerca de los distintos modelos de negocio que existen para poder crear una startup. Además de saber cómo es que irá evolucionando el mercado con el paso del tiempo y que existen distintos tipos de clientes, los que son recurrentes y los que son temporales. Te damos la bienvenida y esperamos aprendas mucho con el estudio de cada uno de los contenidos que componen este curso.
Board Infinity
Learn About Cohere SDKs and APIs
Learn About Cohere SDKs and APIs is a comprehensive course designed to provide a deep dive into the world of Cohere, a leading platform in natural language processing (NLP). Spanning three modules, the course begins with the fundamentals of Cohere, exploring its NLP capabilities, basic operations, and setup. The second module advances into developing with Cohere, covering advanced text generation, text analysis, and practical application development. The final module focuses on integrating Cohere with other technologies, optimizing performance, and exploring future possibilities in NLP and AI. This course is ideal for developers, data scientists, and AI enthusiasts eager to harness the power of Cohere for innovative NLP applications, offering a blend of theoretical knowledge and practical skills. Module 1: Understanding Cohere" offers an in-depth introduction to Cohere, a cutting-edge platform in the realm of natural language processing (NLP). This module begins with an overview of Cohere, exploring its potential and position in the AI landscape, and delves into its core NLP capabilities. It guides through setting up a Cohere account, accessing its API, and using its SDKs and tools. Additionally, it covers basic operations like making API calls, text generation, classification, analysis, and handling responses, including understanding API rate limits and quotas. This module is essential for anyone interested in harnessing the power of advanced NLP using Cohere. Module 2: Developing with Cohere" delves deeper into the practical applications and advanced capabilities of Cohere's NLP technology. This module focuses on advanced text generation techniques, customization, and ensuring coherence in outputs. It also explores complex text analysis tasks such as sentiment analysis, entity recognition, summarization, and keyword extraction, along with their integration into applications. Additionally, this module covers building practical applications like chatbots and virtual assistants, implementing Cohere in web and mobile platforms, and addresses crucial aspects of data privacy, ethical considerations, and scaling applications. Ideal for developers, this module equips learners with the skills to create sophisticated NLP-powered applications using Cohere. Module 3: Advanced Concepts and Integration" explores the sophisticated aspects of integrating Cohere with various technologies and optimizing its performance. This module examines how Cohere can be combined with cloud services, databases, big data solutions, and IoT for innovative applications, along with interfacing with external APIs. It also focuses on performance optimization, error handling, monitoring, and analytics for Cohere applications. The module concludes with a forward-looking perspective, discussing the future of NLP, emerging AI trends, Cohere's roadmap, and its growing community and ecosystem. This module is crucial for professionals seeking to leverage Cohere's advanced capabilities and integrate them into diverse technological landscapes. This course is ideal for developers, data scientists, and AI enthusiasts seeking to master Cohere's NLP technology for innovative applications, offering a comprehensive understanding of both theoretical aspects and practical implementation. It's well-suited for those aiming to integrate advanced NLP capabilities into diverse applications and explore future AI trends. Disclaimer: This course is an independent educational resource developed by Board Infinity and is not affiliated with, endorsed by, sponsored by, or officially associated with Cohere Inc. or any of its subsidiaries or affiliates. This course is not an official preparation material of Cohere Inc.. All trademarks, service marks, and company names mentioned are the property of their respective owners and are used for identification purposes only.
Address Business Issues with Data Science
This course is designed for business professionals that want to learn how to determine if a business issue is appropriate for a data science project and apply the data science process. The typical student in this course will have experience in a business setting and a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science.
Google
Troubleshooting and Debugging Techniques
In this course, we'll give you the tools to quickly identify and solve real-world problems that you might come across in your IT role. We'll look at a bunch of different strategies and approaches for tackling the most common pitfalls of your code and IT infrastructure. You'll learn strategies for approaching almost any technical problem and then see how those apply to solving different real-world scenarios. We picked examples that include general system issues, issues with software that someone else wrote, and issues with programs that we wrote. We'll talk about problems that can affect any operating system, and we'll also look at challenges specific to certain platforms and scripting languages. We strongly recommend that you’ve taken the prior courses in this program, or already have knowledge of Python and Linux so that you can follow along with our troubleshooting examples.
Jordan University of Science and Technology
Object Oriented Development using C#
Object-oriented programming is a widely utilized programming paradigm and one of the main technical skills required to land a software engineering position in any IT company. This course equips you with the required technical skills to design and develop high-quality object-oriented software systems using the C# programming language. The course focuses on the C# programming language since it is one of the most used programming languages in the industry. With the C# programing language, you can create a wide range of software systems including Console applications, Windows desktop applications, mobile apps, TV apps, web applications, game programming, etc. The course starts with basic C# programming, then introduces the main concepts of object-oriented programming. After that, the course covers the arrays and generic data collections. Finally, the course covers the language integrated query (LINQ) concept in which you will be able to query data from various data sources. In addition to the in-video quizzes, at the end of each module, there will be a practice quiz and a graded programming assignment. Consider enrolling in this course, if you are an Arabic speaker who has finished a bachelor's degree in IT and looking for a software engineering position to make the world a better place to live in and get a decent salary but lack the knowledge in object-oriented programming. If you are an undergraduate IT Arabic speaker student who is struggling in programming and keen to learn object-oriented programming so you can find a software engineering position immediately after you graduate, we highly recommend this course for you. However, if you are not in the IT field and are passionate to change your field to be a software engineer, this course is the perfect fit for you with extra effort. Keep in your mind that this course expects you to have quality time to apply what you learn in the course and do the required educational activities including coding assessments. To be successful in this course, you should have basic experience in any programming language such as C#, Java, Python, JavaScript, C++, PHP, etc.
EDUCBA
Analyze and Manage Splunk Infrastructure Components
Learners will be able to identify Splunk core components, analyze deployment architectures, configure Splunk environments, manage licensing, and control data indexing and storage through index lifecycle management. This course provides a comprehensive understanding of Splunk Infrastructure and Components, focusing on how Splunk is architected, deployed, configured, and managed in real-world environments. Learners will explore Splunk core components such as Search Heads, Indexers, Forwarders, Deployment Servers, and License Masters, along with the hardware and operating system considerations required for stable performance. Through structured modules, the course explains Splunk directory structures, configuration files, data parsing mechanisms, and role-based access control. Learners will gain practical insight into distributed and multi-instance deployments, internal Splunk processes, data pipelines, and component communication. The course also covers Splunk licensing models, monitoring license usage, handling warnings, and ensuring compliance. Finally, learners will develop a strong understanding of Splunk indexes, default and specialized indexes, and the complete index bucket lifecycle. What makes this course unique is its infrastructure-first approach, clear alignment with real Splunk environments, and a strong focus on operational best practices, making it ideal for aspiring Splunk administrators, analysts, and system engineers.
LearnKartS
Workplace Ethics and Professionalism
In today’s competitive business world, both trust and credibility aren’t just nice to have—they’re the qualities that define lasting career success. At the core of every respected professional lies a strong work ethic—shaping reputation, opening opportunities, and setting the standard for excellence. Yet, under the constant pressure of deadlines, competition, and high demands, even the most principled professionals can see their ethical standards slip—sometimes without realizing it until the damage is done. This Work Ethics course gives you the skills and strategies to stop that from happening. You’ll uncover the hidden causes of ethical decline, strengthen the pillars of integrity, and learn proven methods to restore trust when it’s been compromised. Through powerful real-world scenarios and practical frameworks—like the 3Rs of Everyday Ethics, Potter Box, PLUS, Kidder’s 9 Checkpoints, and the Front Page Technique—you’ll gain the confidence to make the right decisions, even under intense pressure. By the end, you’ll be equipped to identify risks early, lead with moral courage, and create a culture of integrity that lasts. Your career runs on trust—enroll today and make it unshakable.
Rutgers the State University of New Jersey
Analyzing the Universe
Using publicly available data from NASA of actual satellite observations of astronomical x-ray sources, we explore some of the mysteries of the cosmos, including neutron stars, black holes, quasars and supernovae. We will analyze energy spectra and time series data to understand how these incredible objects work. We utilize an imaging tool called DS9 to explore the amazing diversity of astronomical observations that have made x-ray astronomy one of the most active and exciting fields of scientific investigation in the past 50 years. Each week we will explore a different facet of x-ray astronomy. Beginning with an introduction to the nature of image formation, we then move on to examples of how our imaging program, DS9, can aid our understanding of real satellite data. You will using the actual data that scientists use when doing their work. Nothing is "canned". You will be able to appreciate the excitement that astronomers felt when they made their important discoveries concerning periodic binary x-ray sources, supernovae and their remnants, and extragalactic sources that have shaped our understanding of cosmology.
Coursera
Simple Parallel Coordinates Plot using d3 js
Throughout this guided project we are going to create a simple Parallel Coordinates Plot (PCP) using d3 js. PCP is one of the most common data visualization techniques used to visualize high-dimensional datasets. In this guided project you will create a simple PCP step by step. We will also cover some important topics in data visualization such as Linear and Ordinal scaling to best visualize our data. Having the knowledge of javascript programming language and the basics of d3 js are the two most important prerequisites to get the most out of this guided project.
Career 911: Your Future Job in Medicine and Healthcare
This course aims to help high school students, recent graduates, and those considering career transitions explore health care career options and learn strategies for entry into the health care workforce and health related fields. There are lots of amazing job opportunities in medicine and healthcare! Join us, as we share the strategies and secrets for getting those jobs. This course will introduce you to healthcare professions, help you map a path towards a health career, and impart skills relevant for any career, including: articulating your personal story, resume and cover letter writing, job search, interviewing, professional networking, and professional communications. In this course, you will hear the personal stories, experiences, and journeys of dozens of people who work in health related careers. You will also have the opportunity to connect with a supportive community of students, mentors, and health care professionals to explore your interests, find resources, and discover exciting new opportunities. The course features more than 50 different guests and lecturers, including Northwestern University faculty from Feinberg School of Medicine; the Kellogg School of Management; the Medill School of Journalism, Media, Integrated Marketing Communications; the School of Professional Studies; Weinberg College of Arts and Sciences; and the School of Communication. The course is also a resource and tool through which educators, parents, career counselors and others can support students’ career readiness and professional advancement.
Universidad de los Andes
Introducción a la programación orientada a objetos en Java
¡Le damos la bienvenida al curso de Introducción a la programación en java por objetos de la Universidad de los Andes! El propósito de este curso es ofrecerle un ambiente interactivo orientado a construir aprendizajes sobre el lenguaje de la programación en Java para la creación y manipulación de objetos. La estrategia pedagógica empleada es el aprendizaje activo basado en casos. Es un curso altamente interactivo que constantemente lo reta a responder preguntas, verificar su comprensión, ejercitarse en código, resolver casos en diferentes niveles y múltiples oportunidades para pasar de la teoría a la práctica con actividades formativas que le permitirán ganar puntos de experiencia, puntos de competencia y puntos de habilidad, con los cuales desarrollará habilidades de abstracción y de programación. Además, podrá utilizar dos aplicaciones web desarrolladas por la Universidad de los Andes que son novedosas e importantes para el desarrollo de habilidades de programación: 1. CupiExámenes: Software de ejercitación en código Java, que ofrece retroalimentación automática sobre la escritura incorrecta del código y califica el proceso de programación es decir, le indica si el resultado está bien o mal, dónde se equivocó y por qué. 2. CupiTips: Es otra aplicación web donde puede encontrar una lista de errores comunes que se cometen al programar en Java y le permite al estudiante corregirlos de manera que pueda aprender de ellos. La Universidad de los Andes está poniendo a su disposición y de forma gratuita estas aplicaciones, así como los libros que le permitirán nivelarse o aclarar algunos conceptos importantes, si así lo necesita para poder tomar este curso. Tenga en cuenta que el tiempo estimado para la realización de las actividades de cada módulo es de 14 horas en promedio. Usted puede invertir este tiempo en un periodo de 1 o 2 semanas por módulo, de acuerdo con sus posibilidades y necesidades educativas. Así mismo le recomendamos que desarrolle todas las actividades educativas en el orden propuesto, de manera que pueda sacar mejor provecho de este curso.
Packt
RNN Architecture and Sentiment Classification
Artificial Intelligence is revolutionizing data analysis. This course delves into Recurrent Neural Networks (RNNs), starting with basic memory models and advancing to deep RNN structures. You'll explore RNN models like ManyToMany, ManyToOne, and OneToMany through practical exercises, culminating in sentiment classification for sophisticated text analysis and prediction. You will gain a solid grasp of RNN architectures and implement sentiment classification models. Key features include detailed RNN architecture, practical implementation using PyTorch, sentiment classification applications, and hands-on exercises. By the end, you'll develop and apply various RNN models for tasks like sentiment analysis and language modeling, understand fixed-length and infinite memory models, utilize PyTorch for building and optimizing RNN models, and perform advanced tasks like gradient descent and backpropagation through time. Designed for data scientists, machine learning engineers, and AI enthusiasts with basic programming and neural network knowledge, the course combines theory with hands-on application via video tutorials and real-world examples.
Edureka
Automating Decision Workflows with AI
This course unlocks the next frontier of Decision Intelligence where AI meets automation to drive real-time, autonomous, and responsible decision-making at scale. You’ll learn to orchestrate multi-step processes, stream real-time insights, and build automated systems that boost accuracy, speed, and business impact. You’ll dive into Generative and Agentic AI to create autonomous, insight-driven decisions supported by strong ethical frameworks that keep every outcome transparent, fair, and accountable. Finally, you’ll master deploying and scaling these systems through MLOps, cloud APIs, and low-code platforms, making enterprise-ready automation efficient, scalable, and easy to adopt. By the end of this course, you will be able to: - Identify the key functions of intelligent automation pipelines for AI-driven decision-making. - Analyze Generative and Agentic AI models to design adaptive and autonomous decision workflows. - Evaluate responsible AI frameworks to ensure ethical and accountable automation practices. - Develop deployment strategies using MLOps and cloud technologies for continuous performance. - Design low-code and no-code solutions to expand and democratize Decision Intelligence adoption. This course is ideal for AI engineers, data scientists, automation architects, and business technology leaders who want to bridge AI innovation with scalable automation. A foundation in Decision Intelligence or machine learning will enhance your learning experience. Join this course to master the integration of AI, automation, and responsibility and learn to build decision systems that think, act, and evolve with intelligence.
University of Colorado System
Planning, Auditing and Maintaining Enterprise Systems
Good system management not only requires managing the systems themselves, but requires careful planning to make systems interact with each other, auditing of the systems once the systems are built, and proactive maintenance of all systems. Organizations also rely on organizational policies, such as Acceptable Use Policies to bolster the technical aspect of system management. This course explores many of the behind the scenes requirements of good system management. The first half of the course covers how to build security into system management process and the organization policies necessary for any enterprise to follow. The latter half of the course focuses on auditing and maintenance of systems once they have been designed, and implemented. By the end of the course you should be able to design and construct organizational policies based on a set of requirements, audit a system based on those requirements, and make sure systems adhere technically to the set of requirements.
Android Graphics with OpenGL ES
This course will cover the fundamentals of OpenGL and OpenGL ES in Android. This course is unique because it covers the mechanics of how OpenGL works and also more practical applications to draw 2D and 3D objects. This is an ideal primer for more complex courses on VR and AR within Android. We'll begin by covering the OpenGL Pipeline and Shading Language. Then we'll look at drawing simple 2D objects and increasingly complicated 3D objects in OpenGL and OpenGL ES. There are practical exercises throughout the course to apply your understanding, and there is a summative project which can form part of your professional portfolio.