The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
École Polytechnique Fédérale de Lausanne
African cities : An Introduction to Urban Planning
This course teached the basics of urban planning in Africa through technical, environmental, social and economical dimensions. It focuses on African cities only. Although, they exemplify well cities in the Global South, and potentially all cities, we will make the African context highly topical. The course is provided by the Urban and Regional community at the Swiss Federal Insitute of Technology in Lausanne (EPFL). More information can be found here https://ceat.epfl.ch/
IBM
Core 2: OS, Software, Security and Operational Procedures
Skill up for the CompTIA Core 2 Certification exam! This course gives aspiring IT support professionals, helpdesk professionals, and system administrators essential skills for this career-launching certification and a job in IT support, networking, and system management. During this course, you’ll explore key operating systems (OS), including Microsoft Windows, Apple macOS, Linux, and cloud-based platforms. You’ll learn how to install, update, and manage IT systems while mastering their unique features and functionalities. Plus, you’ll look at IT support best practices, and how to diagnose and troubleshoot common PC and mobile issues, address malware threats, and configure system security. You’ll also explore full-disk encryption methods, vulnerabilities, firewall settings, data backup and recovery, remote access management, and privacy policy essentials. You’ll gain insights into AI for public and private usage in OS. Plus, you’ll get hands-on experience using real-world tools, from command-line utilities to firewall settings and SOHO router security. Enroll today to strengthen your resume and take the next step toward the CompTIA Core 2 certification exam!
Coursera
Advanced ITSM with ServiceNow: Optimizing IT Operations
This course is designed for IT professionals who want to build an understanding of how ServiceNow’s IT Service Management (ITSM) capabilities enable advanced ITSM aligned with ITIL best practices. The course bridges theory and practice, teaching you not only how to use ServiceNow but also how to apply it effectively to improve IT operations, increase service quality, and support digital transformation. The topics covered in this course include managing incidents, problems, service requests, and knowledge management, as well as leveraging change management and the configuration management database to control your IT environment. ServiceNow workflows and customizations are also introduced. ServiceNow skills are in high demand, and the demand is growing. By mastering ITSM on this powerful platform, you’ll position yourself as a valuable asset to any organization seeking to streamline service delivery, reduce downtime, and improve user satisfaction. This course offers real-world use cases, ServiceNow demos, and hands-on exercises that make the concepts come alive. This course is ideal for IT Operations Managers, IT Professionals, Service Desk Staff, and ITSM Consultants who are looking to enhance their skills in IT service management using the ServiceNow platform. Whether you're managing service delivery or supporting IT operations, this course provides practical insights to improve efficiency and drive digital transformation. No prior experience with ServiceNow is required. A basic understanding of ITSM concepts—such as incidents, changes, and service requests—as well as familiarity with general IT workflows and ITIL Foundation, will help you engage more effectively with the course content. It is designed for beginners who want hands-on experience. By the end of this course, learners will be able to design ITSM frameworks aligned with ITIL best practices, manage core service operations such as incidents and requests, and leverage Change Management and CMDB for service optimization. Additionally, they will be equipped to evaluate and apply customization, automation, and integration features within ServiceNow to meet diverse organizational needs.
Coursera
AI for Brand Visibility
This course teaches learners how to use generative AI to create brand-consistent, SEO-ready marketing visuals that boost visibility across digital platforms. By focusing on the AI inference pipeline, prompt engineering, and accessibility best practices, participants will learn to generate on-brand images, write SEO-optimized alt text, and publish assets that meet professional marketing standards. Through hands-on labs, interactive discussions, and a final project, learners will combine AI-assisted creation with human judgment to produce visuals that are impactful, inclusive, and campaign-ready. By the end of the course, participants will be able to confidently design and deploy AI-powered marketing content that enhances brand recognition, discoverability, and audience engagement.
Packt
Project Management
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 essential skills needed to successfully manage and execute projects from start to finish. This course provides a comprehensive approach to project management, covering everything from risk management to team building. You will gain practical knowledge in managing resources, estimating work, and understanding project life cycles to ensure your projects run smoothly and within budget. Throughout the course, you'll explore key concepts such as stakeholder management, project planning, and execution strategies. You'll be guided through each phase of a project, including initiation, planning, execution, and closure, giving you hands-on tools for real-world project management. By utilizing models like RACING for responsibility assessments, you'll learn how to keep your projects on track and aligned with strategic goals. The course is ideal for professionals looking to enhance their project management skills, as well as those who are new to leading projects. Whether you’re managing a team or working independently, this course will provide you with the necessary frameworks to drive successful project outcomes. No prior project management experience is required, but familiarity with business operations can be helpful. By the end of the course, you will be able to define project goals, plan effectively, track progress, manage risks, and execute projects efficiently, ensuring high-quality results on time and within budget.
Coursera
Project Management: How to Create a Gantt Chart in Wrike
By the end of this project, you will create an interactive Gantt chart to plan a Birthday party event using Wrike. You will also be able to follow the general interface of Wrike to create your own spaces, folders, projects, and tasks. You will develop organizational skills that aid you in managing several tasks and projects simultaneously. The target for this guided project is to complete a Gantt chart to plan for a project. Gantt charting allows you to follow up on your tasks and gives you an idea of the duration of each task compared to one another. This guided project is for beginners who want to organize and manage several projects including project managers, team leaders, and entrepreneurs. It’s also a great tool to use to organize your day to day activities in general. It will benefit your career development by aiding you to follow up with all of your projects and tasks in one place. It will also help you organize and align your team members and/ or employees. Wrike is an online software that enables you to add all of your important projects and events in your personal and professional lives. It gives you several methods of preparing and viewing the information you add to it including assigning tasks to team members and adding deadlines.
Johns Hopkins University
Foundations of Probability and Random Variables
The course "Foundations of Probability and Random Variables" introduces fundamental concepts in probability and random variables, essential for understanding computational methods in computer science and data science. Through five comprehensive modules, learners will explore combinatorial analysis, probability, conditional probability, and both discrete and continuous random variables. By mastering these topics, students will gain the ability to solve complex problems involving uncertainty, design probabilistic models, and apply these concepts in fields like machine learning, AI, and algorithm design. What makes this course unique is its practical approach: students will develop hands-on proficiency in the R programming language, which is widely used in data science and statistical modeling. The course also includes real-world applications, allowing learners to bridge theoretical knowledge with practical problem-solving skills. Whether you are aiming to pursue advanced studies in machine learning or develop data-driven solutions in professional settings, this course provides the solid foundation you need to excel. Designed for learners with a background in calculus and basic programming, this course prepares you to tackle more advanced topics in computational science.
Coursera
Build & Evaluate Decision Trees for ML
Are you ready to master one of machine learning’s most powerful and interpretable algorithms? This course will guide you through the complete journey of understanding, building, and evaluating decision tree models using Java, the enterprise-standard programming language. You’ll start by exploring the core concepts, how decision trees partition data, why splitting criteria such as entropy and the Gini index matter, and when decision trees outperform other algorithms. From there, you’ll move into hands-on implementation, using industry-standard tools like Weka’s intuitive GUI and Java API along with Smile’s high-performance library to develop, tune, and deploy models. Through practical exercises, you’ll learn to configure hyperparameters, balance rapid prototyping with production-ready design, and apply robust model evaluation techniques such as confusion matrices, cross-validation, and key performance metrics. Aspiring and experienced data scientists, Java developers, and machine learning engineers seeking to build, evaluate, and interpret decision tree models for real-world applications in finance, healthcare, and business analytics. Basic Java programming experience, understanding of object-oriented concepts, and fundamental knowledge of data science principles required. By the end of the course, you’ll be equipped to detect and reduce overfitting, optimize model performance, and effectively communicate insights to technical and business stakeholders alike.
University of Alberta
Fighting Misinformation in Public Health
This introductory course examines the foundations of health misinformation and disinformation and how they affect public health. Learners explore the distinction between public and individual health, key drivers of misinformation, and common psychological influences such as confirmation bias and the illusory truth effect. The course introduces core concepts, red flags, and scientific literacy fundamentals, including peer review, retractions, and how vaccines work, to help learners build a strong public health literacy toolkit. This course is part of the "Fighting Misinformation in Public Health" certificate program offered by the University of Alberta Continuing Education. For more information, visit this page: https://coned.ualberta.ca/public/category/courseCategoryCertificateProfile.do?method=load&certificateId=22473053
Google Cloud
Búsqueda de vectores y embeddings
En este curso, se presenta la búsqueda de vectores de Vertex AI y se describe cómo puede usarse para compilar una aplicación de búsqueda con APIs de modelo de lenguaje grande (LLM) para embeddings. Este curso se compone de lecciones conceptuales sobre la búsqueda de vectores y las embeddings de texto, demostraciones prácticas para compilar una búsqueda de vectores en Vertex AI y un lab práctico.
Packt
Modern C++ Features & Concurrency
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. This course delves into the latest features of Modern C++, with a primary focus on concurrency, C++17 language updates, and powerful tools that enhance code performance and reliability. You will explore the capabilities of C++17, including the introduction of advanced concurrency techniques, templates, and functional programming tools. This comprehensive guide equips you with the knowledge to build efficient, concurrent programs while utilizing the most current features of C++ for maximum performance. The course starts with concurrency basics, introducing the importance of multi-threading and how to implement it using std::thread. You will dive deeper into thread synchronization with std::mutex and learn how to pass arguments to threads. You'll then explore task-based concurrency with std::async, std::future, and std::promise, and learn how to propagate exceptions between threads seamlessly. This will provide you with the tools needed to write scalable, thread-safe applications. As you move into the C++17 core language features, you'll examine the new features, such as inline variables, noexcept, and structured bindings. C++17 also brought mandatory copy elision, and this course will clarify its benefits. You'll gain an understanding of how to leverage these new features to make your code more efficient and readable. The final sections cover advanced template features like Compiled Time Argument Deduction (CTAD), if constexpr, and folding expressions, as well as C++17 standard library additions like std::optional, std::variant, and parallel algorithms. These components empower you to write more flexible, error-free, and high-performance C++ code.
Duke University
Nanotechnology: A Maker’s Course
How can we create nano-structures that are 10,000 times smaller than the diameter of a human hair? How can we “see” at the nano-scale? Through instruction and lab demonstrations, in this course you will obtain a rich understanding of the capabilities of nanotechnology tools, and how to use this equipment for nano-scale fabrication and characterization. The nanoscale is the next frontier of the Maker culture, where designs become reality. To become a Nanotechnology Maker pioneer, we will introduce you to the practical knowledge, skills, and tools that can turn your nanotechnology ideas into physical form and that enable you to image objects at the nano-scale. This course has been developed by faculty and staff experts in nano-fabrication, electron beam microscopy, and nano-characterization through the Research Triangle Nanotechnology Network (RTNN). The RTNN offers training and use of the tools demonstrated in this course to schools and industry through the United States National Nanotechnology Coordinated Infrastructure program. The tools demonstrated in this course are available to the public through the RTNN.
Microsoft
Cybersecurity Identity and Access Solutions using Azure AD
Upon completing the first three courses of the Professional Certificate, you should have some foundational knowledge about computers, operating systems, networking, and cyberthreats, all of which put you in a good position to explore cybersecurity in greater detail. In this course, you’ll explore the world of authorization and authentication, and understand the concepts of two-step authentication and single sign-on policies. You’ll also become familiar with the features and capabilities of Azure Active Directory (Azure AD), particularly those relating to the benefits of using Azure AD to manage an enterprise’s security requirements including access management, identity governance, and management. This course will take you one step closer to the Microsoft Cybersecurity Analyst Professional Certificate, which requires no degree or prior experience. After completing this course, you’ll be able to: • Explain the concept of Active Directory • Describe Authentication methods • Discuss access management This is also a great way to prepare for the Microsoft SC-900 exam. By passing the SC-900 exam, you’ll earn the Microsoft Security, Compliance, and Identity Fundamentals Certification.
SkillUp
Generative AI: Revolutionizing the Product Owner Role
Product Owners who can leverage Generative AI (GenAI) have a real competitive edge. It’s a powerful tool that enables them to make informed decisions quickly, improve backlog management efficiency, and enhance stakeholder collaboration. In this course, you’ll learn how to use GenAI to boost efficiency, product value, and strategic alignment. You’ll explore how AI informs product strategy through market trend analysis, sentiment insights, and competitive benchmarking. You’ll get hands-on using GenAI tools to generate user stories, assess features, and prioritize the backlog. Plus, you’ll learn how to use AI to enhance stakeholder communication and alignment throughout development. You’ll also look at ethical AI practices such as identifying risks, addressing bias, and promoting responsible adoption in product management. Throughout, you’ll build a strong, practical understanding of how to use GenAI tools like Google Gemini, ChatGPT, and Microsoft CoPilot in hands-on labs. Plus, in a guided project, you’ll use these tools to create essential product artifacts and deliverables across the product lifecycle. If you’re looking to power up your Product Owner career using GenAI and enroll today!
Northeastern University
Machine Learning for Engineers: Algorithms and Applications
This course covers practical algorithms and the theory for machine learning from a variety of perspectives. Topics include supervised learning (generative, discriminative learning, parametric, non-parametric learning, deep neural networks, support vector Machines), unsupervised learning (clustering, dimensionality reduction, kernel methods). The course will also discuss recent applications of machine learning, such as computer vision, data mining, natural language processing, speech recognition and robotics. Students will learn the implementation of selected machine learning algorithms via python and PyTorch.
Pearson
Data Science Fundamentals Part 1: Unit 1
This course demystifies core data science concepts and techniques through engaging Python lessons and real datasets. You’ll gain practical experience working with the Python ecosystem, including pandas, NumPy, scikit-learn, and more, as you analyze authentic data and build meaningful applications from scratch. From setting up your programming environment to building your first recommendation engine, each lesson emphasizes intuition, best practices, and the computational skills needed to tackle “undomesticated” data problems. No advanced math or statistics background required—just a willingness to learn and a basic familiarity with programming. By the end of the course, you’ll have built real projects, mastered essential data science workflows, and developed the confidence to apply machine learning algorithms to real-world challenges.