The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Launch Viral Challenges
Launch Viral Challenges is an intermediate course for marketers and content creators ready to move beyond day-to-day posts and orchestrate high-impact, user-driven campaigns. If you've ever wondered how brands like e.l.f. and Chipotle create viral trends that dominate platforms like TikTok, this course demystifies the process, providing a strategic playbook for launching and measuring your own challenge. Designed for professionals familiar with social media marketing, this course requires no coding or advanced analytics expertise. You will learn to architect a viral challenge from the ground up—defining a compelling concept, writing clear rules, and structuring influencer partnerships. More importantly, you'll learn what to do after the launch. We'll explore how to track crucial metrics like User-Generated Content (UGC) volume, analyze audience sentiment, and compile a data-driven performance report. You'll leave this course with the ability to not only create a viral moment but also to prove its value and use the insights to inform future marketing strategy.
University of Copenhagen
Chronically Ill in an Emergency: Why Mental Health Matters
In humanitarian settings, mental ill-health is powerfully inter-connected with other non-communicable diseases (NCDs) such as cardiovascular diseases, cancers, diabetes and chronic respiratory diseases. Integrating mental health and psychosocial support (MHPSS) with NCD prevention and care might therefore be useful, both to be more effective, and to require fewer resources. There is, however, a lack of widely accepted guidelines that take this into account, and this course is intended to draw attention to that issue. Attention to NCDs focused initially on four major disease categories (cardiovascular disease, diabetes, chronic respiratory disease and cancer) and four groups of associated risk factors (unhealthy diets, physical inactivity, tobacco use, and harmful use of alcohol). Recently, mental ill-health has been considered as the fifth NCD and environmental determinant as the fifth risk factor for NCDs – known as ‘5-by-5’ conditions. The course has a threefold aim: i) to explore evidence of interaction between mental ill-health and other NCDs and the role of psychosocial support in humanitarian response; ii) to explore what is being done and where; what level the determinants of health are being addressed at and the integration of mental health and psychosocial support or MHPSS and NCD prevention and care in humanitarian response; and iii) to identify and explore challenges, opportunities and lessons learned for integrating MHPSS and NCD prevention and care in humanitarian response. The MOOC will be led by a course leader from the University of Copenhagen in close collaboration with academic teachers, the Danish Red Cross and IFRC Reference Centre for Psychosocial Support, Copenhagen, Denmark.
Sungkyunkwan University
Korean Music, A Philosophical Exploration
This course introduces Korean philosophy projected into the subject of Korean music, especially K-POP, which is drawing global attention today. We confirm that Korea's unique philosophy was the basis for maintaining originality while being universally accepted by many people, and seek the role of philosophy for the continuous development and spread of Korean music.
Johns Hopkins University
Analysis and Interpretation of Large-Scale Programs
This course is for implementers, managers, funders, and evaluators of health programs targeting women and children in low- and middle-income countries as well as undergraduate and graduate students in health-related fields. Course participants will learn how to 1) transform quantitative components of an evaluation measurement plan into a sound analysis plan to address the evaluation questions, 2) conduct quantitative analyses of primary or secondary surveys or other available data, 3) interpret the meaning of the analysis results and their implications, and 4) disseminate the evaluation findings to program implementers, local and global stakeholders. It is highly recommended that course participants have the statistical skills to conduct and understand quantitative analysis. The development of this course was supported by a grant from Government Affairs Canada (GAC) for the Real Accountability, Data Analysis for Results (RADAR) project.
IIMA - IIM Ahmedabad
Supply Chain Digitization: Strategy and Design
How do you scale and design high-performing supply chains? Digitization is a massive force that can enable you to accomplish the same. You need a supply chain strategy to align with your customer needs, but you also need a good design to operationalize. You need a vision, but you also need robust processes that align well with the strategy. Not just that, you need enablers that can link strategy with design – which are digital tools. This course is unique because it allows you to reflect upon a firm's supply chain strategy and it's link with appropriate design (both fulfillment nodes such as manufacturing and warehousing, and modes of transport such as shipping and trucking). Finally, it allows you to draw your own supply chain digital transformation canvas. The conceptual tools at appropriate places allow you to understand how to analyze the performance trade-offs, choose the right tools and decipher the mechanism that will enable you to decide the path to digitization.
Edureka
Generative AI Foundations
Generative AI Foundations is a comprehensive course designed to provide learners with a strong foundation in Generative Artificial Intelligence, covering key principles, core methodologies, and real-world applications across multiple domains such as text, images, audio, and code. Ideal for beginners and professionals alike, this course explores how Generative AI models like GANs, VAEs, and transformers are transforming industries through content creation, automation, and innovation. By the end of this course, you will have acquired the knowledge and skills to: - Grasp the foundational concepts and technical intricacies of Generative AI, including its advantages and limitations. - Apply Generative AI for code generation, enhancing your programming efficiency and creativity in Python and other languages. - Master the art of prompt engineering to optimize interactions with AI models like ChatGPT, leading to improved outcomes in code generation and beyond. - Utilize ChatGPT for learning and mastering Python, data science, and software development practices, thereby broadening your technical skill set. - Explore the revolutionary fields of Autoencoders and Generative Adversarial Networks (GANs), understanding their architecture, operation, and applications. - Dive into the world of language models and transformer-based generative models, gaining insights into their mechanisms, applications, and impact on the future of AI. This course is meticulously crafted to cater to a broad audience, including software developers, data scientists, AI enthusiasts, and professionals seeking to leverage Generative AI technologies for innovative solutions. While prior knowledge of Generative AI Fundamentals or Python Coding is helpful, but it is not a prerequisite to complete the course. Whether you're looking to enhance your existing skills or embark on a new career path in the field of AI, this course will provide you with the knowledge, practical skills, and confidence to succeed. Join us on this exciting journey into the world of Generative AI!
Arm
Optimizing Generative AI on Arm Processors
AI models are becoming increasingly powerful—but also increasingly demanding. As Generative AI moves from cloud data centers to mobile phones, autonomous systems and embedded IoT devices, the need to optimize performance across diverse hardware environments has never been more critical. Arm-based processors power more than 300 billion devices globally, from smartphones to hyperscale cloud servers, making them a key foundation for efficient AI deployment across the compute landscape. To meet this growing demand, learners need the skills to translate machine learning models into real-time, hardware-aware implementations across Arm-based platforms. Optimizing Generative AI on Arm Processors: from Edge to Cloud is designed for intermediate machine learning practitioners who want to bridge the gap between model design and deployment efficiency. Rather than revisiting ML fundamentals, this course dives straight into performance engineering for Generative AI on Arm-based platforms, including mobile, edge and cloud environments. You’ll explore real-world constraints, Arm architecture features, and software techniques used to accelerate AI inference—including SIMD (SVE, Neon), low-bit quantization, and the KleidiAI library. Each concept is taught using concise, interactive notebooks and narrated examples, enabling you to measure, tweak, and iterate on actual hardware like the Raspberry Pi 5 or AWS Graviton3 cloud instances.
Peking University
More Chinese for Beginners
This is an advanced course for Chinese for beginners. Learners will expand vocabularies about personal information, daily life, food and drink, healthy, and expressions about greeting, suggestion, agreement, comparison, complaint, prohibition, experience, plan, recommendation, etc. Learners can improve their listening and speaking and know much more about Chinese social cultures. As the same as Chinese for beginners, the course doesn’t ask the learners to know Chinese characters. Recommended Background: For learners with certain English language ability and better have attended Chinese for beginners.
Coursera
Mastering Data Analysis with Pandas
In this structured series of hands-on guided projects, we will master the fundamentals of data analysis and manipulation with Pandas and Python. Pandas is a super powerful, fast, flexible and easy to use open-source data analysis and manipulation tool. This guided project is the first of a series of multiple guided projects (learning path) that is designed for anyone who wants to master data analysis with pandas. 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.
Universidad Austral
Ciencias naturales en el nivel medio: del fenómeno a la idea
Este curso está dirigido a docentes de Biología, Física, Química y otras ciencias naturales, tanto principiantes como experimentados. Explora estrategias didácticas innovadoras y recursos accesibles para enriquecer las clases, fomentando la participación de los estudiantes, la comprensión profunda de conceptos clave y el desarrollo de habilidades de pensamiento científico.
Dartmouth College
Machine Learning Fundamentals
This course provides a brief introduction to the theory and practice of supervised machine learning, the discipline of teaching computers to make predictions from labeled data. We begin with a well-known model of linear regression, moving from fundamental principles to the advanced regularization techniques essential for building robust models. We then transition from regression to classification, exploring two major paradigms for separating data: discriminative models and generative models. The course concludes in learning how to critically evaluate and compare classifier performance using industry-standard tools such as the ROC Curve. Upon completion, you will have a strong command of the core principles that underpin modern predictive modeling.
Google Cloud
Deploy and Test a Visual Inspection AI Component Anomaly Detection Solution
This is a self-paced lab that takes place in the Google Cloud console. Deploy and test a visual inspection AI component anomaly detection solution.
S.P. Jain Institute of Management and Research
Marketing Management
Marketing plays a vital role in business growth. It is a broad general management responsibility and not specific to marketing specialists alone. Customer-oriented and competitive marketing strategies are critical to business success. This course explores the core concepts and tools of contemporary marketing management—including market segmentation, brand positioning, distribution channel design and communications to develop an effective customer-centric marketing strategy. Through the course, you will be exposed to a variety of analytical approaches, tools and techniques that we can use in thinking about strategic issues. The various modules in this course will enable you to apply the learning from the various concepts and frameworks to your workplace. The goal of this course is to enable you to take effective decisions and become better managers at your workplace.
L&T EduTech
CPS Design for Mechatronics, Healthcare, EV & Robotics
This course covers diverse aspects of mechatronics, electric vehicles (EVs), medical devices, and Cyber-Physical Systems (CPS). The Automotive Mechatronics module provides participants with a deep understanding of essential components, emphasizing the analysis of Electronic Control Units (ECUs) and the application of various sensor types and Advanced Driver Assistance Systems in critical automotive functions. The course culminates in the practical implementation of CAN interface integration with the STM32F407 microcontroller in automotive electronics. It delves into the workings and applications of digital stethoscopes, advanced thermometers, ultrasound machines, and more. Participants gain hands-on experience in setting up a remote health monitoring system using Arduino Nano, showcasing real-world applications of embedded systems in healthcare. Furthermore, it focuses on the on-board electrical system, 48 V system understanding, DC-DC converters, and the traction motors, on-board chargers, and various motor configurations in electric vehicles. Participants will gain concepts for the design and development of a 5 Degree Freedom Robotic ARM for industrial automation. It covers pneumatic and hydraulic systems, solenoid control valve components, Denavit–Hartenberg Parameters, and provides hands-on experience in assembling and testing a 5DOF robotic arm using Arduino Nano.
Codio
Cloud Computing Primer: Platform as a Service (PaaS)
Explore cloud computing basics without installing anything! This course is designed for semi-technical and business learners, providing a solid foundation of cloud computing basics. Learners will build an understanding of how platform as a service (PaaS) works as well. The modules in this course cover cloud computing basics, considerations for PaaS adoption, techniques for PaaS success and growth, as well as provide an exploratory PaaS experience for learners. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and suggested exploration examples, building a deeper understanding by doing. You'll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling answer blocks) to small, approachable exercises that take minutes instead of hours.
Google Cloud
Hands-On Labs in Google Cloud for Security Engineers
Security is an uncompromising feature of Google Cloud services, and Google Cloud has developed specific tools for ensuring safety and identity across your projects. In this course you will get added hands-on practice understanding and securing resources with multiple Google Cloud services including Google Kubernetes Engine (GKE). This course is unlike other courses, in that it consists of one module of background videos, followed by a series of hands-on practice exercises on Google Cloud via Qwiklabs. The practice modules include no videos, lectures, or quizzes - just more practice on real Google Cloud. If you enjoyed this course, you can check out the full quest including a challenge lab that requires a solution to be built with minimal guidance. You will have an opportunity to earn a Google Cloud digital Skill Badge on completion as well! Visit - google.qwiklabs.com and look for ‘Secure Workloads in Google Kubernetes Engine’ and ‘Ensure Access & Identity in Google Cloud’.