The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google Cloud
Introduction to Vertex AI Studio - Français
Ce cours présente Vertex AI Studio, un outil permettant de prototyper et de personnaliser des modèles d'IA générative. Au moyen de cours immersifs, de démonstrations attrayantes et d'un atelier pratique, vous allez découvrir le workflow d'IA générative et apprendre à utiliser Vertex AI Studio pour les applications multimodales Gemini, la conception de requêtes et le réglage de modèles. L'objectif est de vous permettre d'exploiter tout le potentiel de ces modèles dans vos projets avec Vertex AI Studio.
Coursera
Responsible AI: Transparency & Ethics
Did you know that while 75% of business leaders agree AI ethics is important, most admit they lack the necessary tools or frameworks to implement it? According to Datamation, the majority of companies recognize the significance of AI ethics but struggle with practical implementation. The gap between knowing and doing is massive—and that’s where this course comes in. Responsible AI isn’t just about feeling ethical. It’s about building systems that are safer, smarter, and more transparent from the ground up This course is designed for professionals who are shaping the future of artificial intelligence. It’s ideal for data scientists, machine learning engineers, AI project managers, product leads, compliance officers, policy advisors, and ethics reviewers. Whether you're developing AI systems or ensuring they meet ethical and regulatory standards, this course equips you with the tools and knowledge to build responsible, unbiased AI applications. To get the most from this course, learners should have a basic understanding of machine learning workflows and the AI lifecycle. Familiarity with general technology concepts and the ability to prompt tools like ChatGPT will be helpful. While prior experience with Python or Jupyter Notebooks is beneficial, it’s not mandatory—this course is built to be accessible and practical. By the end of the course, learners will be able to identify and mitigate bias in AI systems, implement explainability tools like SHAP and LIME, and develop responsible AI checklists based on fairness and transparency. They will also learn to evaluate AI projects against compliance frameworks such as the NIST AI Risk Management Framework, ensuring that their systems are ethical, explainable, and aligned with industry standards.
Real Madrid Graduate School Universidad Europea
El futuro de la inteligencia artificial en el deporte
Este curso explora el futuro de la inteligencia artificial en el deporte, destacando tecnologías emergentes y ecosistemas de innovación que están marcando la próxima era de transformación digital. Los estudiantes analizarán temas avanzados como la robótica aplicada al entrenamiento y a la toma de decisiones, las herramientas cognitivas para el desarrollo mental del atleta, y los sistemas autónomos capaces de generar recomendaciones tácticas en tiempo real. Además, se explorarán las aplicaciones de la IA en áreas fuera del terreno de juego, la personalización del contenido audiovisual y la predicción de tendencias de consumo. El curso también aborda los desafíos éticos que surgen con la implementación de estas tecnologías, así como sus implicaciones legales y los marcos de gobernanza necesarios para un uso responsable. La plataforma de impulso a la innovación del Real Madrid, Real Madrid Next, se presenta como un modelo de referencia que combina estrategia, tecnología y visión a largo plazo en entornos deportivos de alto rendimiento.
SkillUp
Machine Learning for Medical Data
This course builds on foundational AI concepts to teach machine learning (ML) techniques tailored for healthcare. You will apply ML and deep learning techniques to develop predictive models for patient risk assessment. You will also translate healthcare data into actionable insights by experimenting with model design, training, and evaluation, strengthening both technical and clinical reasoning skills through practical, outcome-driven projects. Case studies and real-world examples will demonstrate how ML supports disease prediction, treatment optimization, and clinical decision support. The curriculum emphasizes data preprocessing, feature engineering, model selection, and evaluation using clinical metrics and validation strategies. Through hands-on exercises, you will apply supervised and unsupervised methods, design and train neural networks, and address practical challenges such as class imbalance, privacy, and interpretability. You will use Jupyter Notebook files in a Google Colab environment to complete labs. By the end of this course, you will be prepared to implement ML workflows that are clinically relevant, statistically sound, and ethically responsible.
Council on Foreign Relations
Global Affairs Explained: Twenty-First Century Challenges
From migration, to climate change, to the rise of artificial intelligence, policymakers today face an increasingly complex set of challenges. “Global Affairs explained: Twenty-First Century Challenges” is designed to provide learners with a deeper understanding of the main challenges facing the world today. Learners will also explore how the various issues facing the world relate to one another and consider the complexities that policymakers face in trying to address them. After completing the course, learners will be able to describe key twenty-first century global challenges and explain their impacts on global affairs; assess the ways in which different twenty-first century challenges are interconnected; and evaluate the strategies policymakers use to address twenty-first century challenges.
Tecnológico de Monterrey
Programación y presupuesto del proyecto
En este curso, aprenderás los principios fundamentales de la gestión del tiempo y costo en las etapas de planificación. Se identificarán las actividades del proyecto a partir de la EDT, se establecerá la secuencia, recursos y duración necesarios para finalmente desarrollar el cronograma detallado del proyecto. De igual manera, aprenderás a estimar los costos de los recursos, para desarrollar un presupuesto detallado y flujo de efectivo a lo largo del proyecto. Después de este curso, podrás explicar los principios fundamentales del seguimiento y control del proyecto en aspectos de tiempo y costo, así cómo el cálculo de indicadores de desempeño para determinar si el proyecto va conforme a lo planeado o esta fuera de la linea base acordado y aprobada.
Birla Institute of Technology & Science, Pilani
Linear Algebra for Machine Learning & AI
Unlock the powerful world of Machine Learning and Artificial Intelligence with our comprehensive, hands-on course on Linear Algebra. This course serves as an essential stepping stone for aspiring data scientists, AI practitioners, software developers, and tech enthusiasts eager to build a solid mathematical foundation for these high-demand fields. Designed for individuals pursuing a career in tech or enhancing skills in data analysis and AI development, this course bridges theoretical mathematics with practical AI applications. Dive into key concepts such as matrices, linear systems, eigenvalues, linear transformations, and linear programming. Through practical exercises, interactive discussions, and real-world applications, you'll develop analytical skills and systematic problem-solving capabilities crucial for optimizing models and analyzing data. Ideal for professionals aiming to up skill for roles in machine learning engineering, AI research, data science, and software development, this course empowers you to advance your career and become an essential contributor to the tech industry. Master the mathematical secrets behind AI and Machine Learning to enhance your career prospects and stay ahead in the digital age. Enrol today and transform your understanding of linear algebra into a valuable asset for the future.
Coursera
Ace the Computer Science Interview: Strategies for Success
This course is designed to empower individuals preparing for computer science job interviews, with essential strategies to confidently navigate the computer science interview process. It will provide a comprehensive overview of the key concepts, tips, and techniques required to succeed in securing your dream role. From preparing for common interview questions to developing practical coding strategies, this course aims to ensure you are well-equipped for the challenges ahead. This course is ideal for computer science graduates, entry-level tech job seekers, and professionals transitioning into tech roles. It is also suited for individuals looking to sharpen their interview skills and gain a competitive edge in computer science positions. To benefit fully from this course, you should have a basic understanding of programming and common data structures and algorithms. Additionally, an interest in developing effective communication skills and a strong motivation to succeed in computer science interviews are essential.
Coursera
Traverse Trees for ML with DFS & BFS
Data that requires decisions and classifications are everywhere. Decision trees help to create solid data inferences for some of the most common types of machine learning problems. To take advantage of this structure, you need to understand how to properly traverse and build rulesets from decision trees. In this course, you'll learn the fundamentals of decision trees, understanding how to implement the structures in Java. From here, you'll explore some different methods of tree traversals, focusing on BFS and DFS. With BFS and DFS, you'll be able to apply tree traversals to generate tree rulesets. With this knowledge, you'll be equiped to implement and traversal decision trees. This course is for Java developers with a solid programming background, focusing on decision trees, BFS, DFS, and rule generation for machine learning and data classification. A solid understanding of Java programming is crucial for implementing decision trees and traversal algorithms. Additionally, some familiarity with trees as a data structure will help, as decision trees rely on hierarchical structures. By the end of this course, you'll have the skills to confidently implement tree traversal algorithms like BFS and DFS, and generate powerful rules from decision trees to tackle real-world machine learning problems.
University of Rochester
The Power of Markets I: The Basics of Supply and Demand and Consumer Behavior
This opening module of the Power of Markets course covers the basic assumptions about market participants made by economists, the concept of opportunity cost, and the key determinants of supply and demand. We will then learn how to use the supply-demand framework to explain and predict market outcomes and to show how government policies affect those market outcomes. We will look at how quantity demanded and supplied respond to their key determinants in quantitative (elasticity) as well as qualitative terms. The last two weeks of the first module will investigate consumer behavior more closely and show how consumer choices are driven by the interplay of preferences and budget constraints. We will employ the consumer choice framework to examine investor choice as well as policies such as ObamaCare and school choice. Finally, we will also address the concept of how to distribute a given amount of goods across a society’s consumers in the most efficient manner.
University of Michigan
Anatomy: Cardiovascular, Respiratory and Urinary Systems
In this anatomy course, part of the Anatomy Specialization, you will explore the interactive relationships of the cardiovascular, respiratory and urinary systems, and the roles they play in your body. This course is a primer for the cardiovascular, respiratory, and urinary systems in which students learn the pertinent details of the structures and functions through a combination of lectures, videos, labeling activities and quizzes.
EDUCBA
Unreal Engine: Master Advanced FX & Gameplay Design
This comprehensive Unreal Engine course empowers learners to design, develop, and implement advanced visual effects, materials, and gameplay systems using powerful Blueprint scripting techniques. Across eight modules, participants will construct immersive worlds with dynamic materials, integrate interactive player mechanics, apply cinematic transitions, and synchronize animation systems with responsive controls. Learners will demonstrate mastery of advanced workflows, from holographic material creation and environmental VFX to spline-driven movement, interactive menus, and complex traversal systems like climbing, swinging, and bullet time. Through structured practice and graded assessments, this course will equip game developers to produce professional-quality, performance-optimized, and visually striking gameplay experiences that elevate player engagement. By the end of this course, learners will be able to: • Design advanced materials, shaders, and transition effects. • Develop interactive UI elements and menu systems. • Integrate physics-based mechanics, spline paths, and VFX. • Implement player-centric movement systems and animation sync. • Optimize assets and interactions for performance and immersion.
Tecnológico de Monterrey
Fundamentos de la escritura
La redacción de un texto, cualquiera que este sea, implica conocer y dominar las reglas y estrategias que hacen del producto final un escrito coherente, de lectura ágil y adecuado al público que se destina. Por medio de ejercicios, videos y ejemplos reales, el primer módulo (Semana 1 y 2) guía al alumno en el proceso de aplicación y dominio de normas elementales de ortografía y puntuación. En el segundo módulo (Semana 3 y 4), se familiariza al participante con estrategias que le permitirán preparar un texto coherente, cohesionado, correcto y adecuado a la situación comunicativa en que habrá de desenvolverse.
Universiteit Leiden
International Law in Action: the Arbitration of International Disputes
‘The Arbitration of International Disputes’ is the third course of Leiden University’s series on International Law in Action. The first course covered generalities on the international courts and tribunals in The Hague, while the second course provided an insider's perspective into the work of international criminal courts and tribunals. This third course explores the major aspects of international arbitration as one of the most common method of international dispute settlement . Through this course you will gain an in-depth understanding of the various facets of international arbitration through the analysis of its role as a mechanism of dispute settlement, its institutions, the fields of law it is applicable to, and, of course, its most famous awards. The main question we will answer together during this course is "Can international arbitration contribute to the creation of a peaceful world through the settlement of disputes between States and between States and non-State actors?" In order to do so, we will learn the basic historical concepts or arbitration, as well as everything there is to know about the Permanent Court of Arbitration, based in The Hague. We will then dive into the role of international arbitration in settling disputes relating to the Law of the Sea, with a particular insight into the landmark South China Sea Arbitration. For an entire module, we will focus on investment arbitration, its principles and the procedure of the ICSID, the International Centre for Settlement of Investment Disputes. We will conclude the course with a module on the interplay between state immunity and enforcement of arbitral awards. This is brought to light through the Yukos Arbitration which is a perfect illustration of the topic. This course offers you an opportunity to gain a better insight into international arbitration, its role and the current issues relating to it. You will gain in-depth knowledge of the principles and rules of arbitration. You will explore the topic through concrete examples and the most prominent arbitrations. You will also grasp the notion of international arbitration navigating between law and politics. International arbitration and The Hague go hand in hand: several key arbitration institutes are located in The Hague and important disputes were settled here through arbitration. The Hague is, so to speak, ‘the place to be for international arbitration’, especially when we are dealing with arbitration between States, or arbitration of investment disputes between foreign investors and States. Join us for the course and become an expert on international arbitration! This course is free to join and to participate in. There is the possibility to get a verified certificate for the course, which is a paid option. If you want a certificate, but are unable to pay for it, you can request financial aid via Coursera.
Coursera
Use Power Automate & SharePoint to Automate Invoice Sending
Each company must produce invoices for their services and each invoice must be delivered to the client. Most companies have employees who are doing both tasks manually, first they create an invoice and then they send it by email to the customer. As with most other repetitive tasks, we can use Power Automate and SharePoint to automate one of those 2 tasks and that is, sending invoices by email. We just need to set up some rules, set up a SharePoint site as our data source and implement a Power Automate flow which will handle the process. In this 40-minutes long guided project, “Use Power Automate & SharePoint to Automate Invoice Sending”, you will create a SharePoint site and list, set up a document library and create a Power Automate flow which will automate the sending of invoices to the customers. Of course, you can allow other colleagues to access and use this SharePoint site so they will be able to use your implementation as well. In the end, you won’t need to send emails to the customers manually, all you will have to do is create an invoice, name it correctly and upload it to the SharePoint document library and the Power Automate flow will do the rest. Since this project uses Office 365 services like SharePoint and Power Apps (part of the Microsoft Power Platform), you will need access to a Microsoft account and a Microsoft 365 Developer Program subscription account. In the video at the beginning of the project you will be given instructions on how to sign up for both.
SkillUp
Generative AI: Advance Your Human Resources (HR) Career
Are you keen to advance your career in human resources (HR) by using generative AI? In this course, you will learn how GenAI can optimize HR processes and boost professionals' productivity. It discusses the relevance, impact, and use cases of generative AI within the HR domain. The course demonstrates how generative AI can streamline key HR functions, including recruitment, onboarding, training, and performance management. The course introduces common generative AI tools and platforms, such as IBM watsonx Orchestrate, which can be leveraged for HR use cases. You will also explore how generative AI can support strategic aspects of HR in areas like workforce planning and employee engagement. You will also learn about the capabilities and core concepts of generative AI driving these use cases in the HR domain. The course discusses ethical considerations and responsible use of generative AI, addressing potential limitations and challenges. Finally, it guides about the requirements and factors crucial for successfully adopting generative AI within the HR domain in an organization. The course offers hands-on labs and a project to showcase your proficiency in applying generative AI to HR use cases. You will also hear from practitioners about the potential and capabilities of generative AI to transform your HR career. This course is suitable for existing HR professionals as well as those starting their careers in this domain. It also benefits HR leaders and people managers.