The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Aerial Image Segmentation with PyTorch
In this 2-hour project-based course, you will be able to : - Understand the Massachusetts Roads Segmentation Dataset and you will write a custom dataset class for Image-mask dataset. Additionally, you will apply segmentation domain augmentations to augment images as well as its masks. For image-mask augmentation you will use albumentation library. You will plot the image-Mask pair. - Load a pretrained state of the art convolutional neural network for segmentation problem(for e.g, Unet) using segmentation model pytorch library. - Create train function and evaluator function which will helpful to write training loop. Moreover, you will use training loop to train the model. - Finally, we will use best trained segementation model for inference.
University of Colorado Boulder
Statistical Estimation for Data Science and AI
This course introduces statistical inference, sampling distributions, and confidence intervals. Students will learn how to define and construct good estimators, method of moments estimation, maximum likelihood estimation, and methods of constructing confidence intervals that will extend to more general settings. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) and the Master of Science in Artificial Intelligence (MS-AI) degrees offered on the Coursera platform. These interdisciplinary degrees bring together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the CU degrees on Coursera are ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder. Learn more about the MS-AI program at https://www.coursera.org/degrees/ms-artificial-intelligence-boulder Logo adapted from photo by Christopher Burns on Unsplash.
Northeastern University
Healthcare Consumerism and Implication for Care Delivery
In this course we will examine the changing role of the consumer in healthcare. Consumers are asking for more accountability in how healthcare is delivered and paid for. Healthcare professionals must make sure that they are delivering high quality, personalized care. Some of the topics we'll cover are: the healthcare ecosystem, new technologies in healthcare, the development of new payment models, change management in healthcare, data analytics. By the end of this course, you will be able to: 1. Explain the new role of consumers in healthcare delivery in order to respond to the demands in this changing industry 2. Identify the key players in the healthcare ecosystem 3. Describe how the healthcare system operates and its impact on consumer-driven healthcare. 4. Articulate the challenges facing consumers and providers in order to find potential solutions for these challenges.
Peking University
Chinese for HSK 1
Nǐ hǎo! 你好！Welcome to Chinese for HSK Level 1 - a Chinese course for beginners. My name is YU Bin. I am very happy to meet you here! HSK stands for Hànyǔ (Chinese) Shuǐpíng (level) Kǎoshì (test), which is the most important Chinese proficiency test in use today. It assesses non-native Chinese speakers’ abilities in using Chinese in their daily, academic and professional lives. Chinese for HSK Level 1 is the first part of the 6 levels and assesses test takers’ abilities in the application of everyday Chinese. It is the counterpart of Level 1 of the Chinese Language Proficiency Scales for Speakers of Other Languages and the A1 Level of the Common European Framework of Reference for Languages. You will learn: 30 video lectures with dialogue role plays by PKU students; More than 150 commonly used words; Around 50 key grammar points; New words and texts via audio; Quizzes for each lesson and HSK test papers; Videos for 70 basic Chinese characters (optional); Supplementary materials about China (optional). In short, the course covers the four skills although only listening and reading are tested in HSK. At the end of the course, you will be able to understand and use simple Chinese phrases, meet basic needs for communication and possess the ability to further your Chinese language studies. Have a fantastic journey of Chinese learning. For more information about HSK please visit: http://english.hanban.org/node_7581.htm.
University of California, Irvine
Leading Diverse Teams
This course addresses the leadership skills and competencies that are requisite for leading across cultures in a global business environment. Participants will learn from frameworks, principles, and practices regarding how to leverage their cross-cultural business experiences for greater influence and effectiveness across cultural contexts (teams, organizations, regions, countries, etc.). Participants will develop working knowledge of the Cultural Intelligence (CQ) framework, including the four CQ capabilities (CQ Drive, CQ Knowledge, CQ Strategy, & CQ Action) and their practical applications for the workplace and for global leaders. This course is designed to develop participants’ recognition and understanding of the biases and implicit assumptions about other cultures that often erode value for organizations in global business environments and undermine leadership effectiveness in such contexts. Participants will learn how implicit bias plays a key role in organizations and many decision-making processes driven by global leaders, and how the development of CQ capabilities is critical for limiting implicit bias and its negative impact across global organizations. This course will also address the strategies, practices, and policies for how employees, leaders, teams, and organizations can minimize the negative outcomes of implicit bias. As part of the course, participants will learn how to create an action plan for developing the CQ capabilities that are most critical for their organizations, teams, and personal leadership development goals.
Coursera
Interpret Analytics: Boost Engagement & Optimize Content
Transform your content performance with data-driven insights that actually move the needle. This course empowers digital marketing professionals to master the critical skill of interpreting web analytics metrics to identify tactical content improvements that boost engagement and optimize user experience. This Short Course was created to help digital marketers accomplish measurable content optimization through systematic analytics interpretation. By completing this course, you'll be able to confidently analyze bounce rates and session duration data, pinpoint specific content enhancement opportunities, and create actionable improvement recommendations that you can implement immediately to increase user engagement and reduce site abandonment. By the end of this course, you will be able to: Interpret key web analytics metrics to identify content improvement opportunities. This course is unique because it bridges the gap between raw analytics data and actionable content strategy, teaching you to translate metrics into specific, implementable improvements like strategic internal linking, multimedia integration, and content restructuring. To be successful in this project, you should have basic familiarity with website content management and an understanding of digital marketing fundamentals.
LearnKartS
Time Management Skills
Master Time Management: Boost Productivity and Achieve Your Goals. Elevate your personal as well as professional success with this powerful Time Management Skills course designed to help you achieve more in less time, work with clarity and reduce stress! During the course, you will learn strategic prioritization strategies, and SMART goals tactics so you can make the right decision. You will discover the ultimate productivity toolbox, which includes the Pomodoro, Eisenhower Box, ABCDE, and Ivy Lee methods to plan wisely, focus on what matters, and effectively distribute your workload. Effectively jumpstart your transition to real-world projects by minimizing distractions at work, overcoming internal blockers like procrastination, and building structured action plans that enhance individual performance and team results. Work-life balance isn't just a concept anymore it's something that can be easily achieved. With these skills, you’ll be better equipped to tackle your daily tasks, achieve career milestones, and maintain a healthy work-life balance. Start Managing Your Time Effectively: Enroll Now to Achieve Your Goals and experience how disciplined time management can transform your results, your mindset, and your everyday life.
Duke University
Bayesian Statistics
This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates. You will learn to use Bayes’ rule to transform prior probabilities into posterior probabilities, and be introduced to the underlying theory and perspective of the Bayesian paradigm. The course will apply Bayesian methods to several practical problems, to show end-to-end Bayesian analyses that move from framing the question to building models to eliciting prior probabilities to implementing in R (free statistical software) the final posterior distribution. Additionally, the course will introduce credible regions, Bayesian comparisons of means and proportions, Bayesian regression and inference using multiple models, and discussion of Bayesian prediction. We assume learners in this course have background knowledge equivalent to what is covered in the earlier three courses in this specialization: "Introduction to Probability and Data," "Inferential Statistics," and "Linear Regression and Modeling."
Packt
Machine Learning with PyTorch and Scikit-Learn
This course offers a comprehensive exploration of machine learning and deep learning using PyTorch and Scikit-Learn. It provides clear explanations, visualizations, and practical examples to help learners build and deploy machine learning models. Ideal for Python developers, it covers the latest trends in deep learning, including GANs, reinforcement learning, and NLP with transformers. Packed with clear explanations, visualizations, and working examples, the course covers essential machine learning techniques in depth, along with two cutting-edge machine learning techniques: transformers and graph neural networks. This course is designed for developers and data scientists with a solid understanding of Python basics, calculus, and linear algebra. It is ideal for those looking to create practical machine learning applications using Scikit-Learn and PyTorch, and deepen their knowledge of advanced deep learning techniques. Throughout this course you will learn to: - Develop machine learning models using Scikit-Learn and PyTorch. - Implement neural networks and transformers for various data types. - Apply best practices for model evaluation and tuning. This course is based on material written by an expert author, bringing the depth of a book into a more engaging, interactive format. The core content is delivered through clear, structured text you can read at your own pace, supported by short videos and quizzes to highlight key ideas and test your understanding. By combining the strengths of book learning with interactive assessments, you get the best of both worlds: the depth and clarity of an author’s expertise, plus the flexibility to revisit, practice, and reinforce concepts whenever you need.
Coursera
Set up a Continuous Integration (CI) workflow in CIrcleCI
In this 1-hour long project-based course on Setting up a Continuous Integration (CI) workflow in CircleCI, you will work through the complete workflow of getting a development project (nodeJS application) through version control (git and GitHub) and into a simple CI pipeline in CirclCI. This course is designed for developers who have never worked with a CI tool before who want to understand how continuous integration can benefit their development processes and/or how it fits together in a development lifecycle. By the end of this course, you will have a working pipeline of your own (in your own CircleCI user account) which will handle the building and testing of your code based on any pull requests made to your project repository in GitHub This is a beginner course and as such is not designed for intermediate developers or DevOps professionals and students who already understand CI/CD and want a deep-dive on CircleCI and its various configuration capabilities. 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.
Coursera
Azure Data Engineering: Cosmos DB, SQL & Analytics
Unlock the power of Azure Data Engineering and transform the way you manage data in the cloud. In this focused course, you'll explore how to architect, build, and optimize scalable data solutions using Cosmos DB, Azure SQL, and Synapse Analytics. The course combines real-world scenarios with hands-on learning to guide you through choosing the right data store, writing optimized queries, and creating impactful analytical dashboards. This course is designed for data professionals working with Azure-based systems, including data engineers, solution architects, BI developers, and DevOps or site reliability engineers (SREs). Whether you're building modern data platforms, designing optimized architectures, or supporting analytics workloads, this course provides the tools and insights needed to thrive in a cloud-native data environment. To get the most out of this course, learners should have a working knowledge of SQL, a foundational understanding of cloud computing concepts, and familiarity with data pipeline architecture. These prerequisites ensure you can fully engage with the technical content and apply the strategies covered in real-world scenarios. By the end of the course, learners will be able to select the right data storage and processing technologies for specific business needs, write high-performance queries in Cosmos DB and Azure SQL, and leverage Synapse Analytics for both real-time and batch analytics. Additionally, you'll gain the skills to apply optimization and monitoring best practices across Azure data services for efficient, scalable solutions.
Coursera
Build an Online Auction Server with ExpressJS
Have you ever wanted to learn about backend (server) development and become a "full-stack" developer (someone who can do front-end and back-end development)? It is not as complicated as you think! In this 1.5 hours class, you will dive right in, learn the basics of one of the most popular web server frameworks, and write a server process to serve a simulated online auction website! Recommended background: HTML, CSS, JavaScript, RESTful API.
EDUCBA
Unreal FPS Development - Core Game Mechanics
This project-driven course guides learners through the end-to-end creation of a first-person shooter (FPS) game using Unreal Engine and Blueprint visual scripting. The curriculum is divided into four progressive modules, each focusing on a critical aspect of FPS game development—from player setup to advanced movement and combat systems. Learners will construct a fully functional first-person player, design health and armor mechanics, and develop interactive UI feedback for immersive gameplay. They will organize and configure weapon systems, implement firing mechanics using input mappings and projectile behavior, and synchronize sprint and crouch animations for a responsive character experience. The final module challenges learners to integrate camera-driven aiming and weapon orientation logic, creating a smooth and professional FPS look and feel. Through hands-on blueprint scripting and animation setup, students will apply, analyze, and synthesize game mechanics with industry-standard practices in real-time game development.
Alibaba Cloud Academy
DevOps on Alibaba Cloud
Course description: The ACP DevOps Engineer Course is designed for developers and operations experts who will be deploying applications on Alibaba Cloud using DevOps tools and best practices. The course covers Alibaba Cloud's Kubernetes Container Service (ACK), the ARMS Prometheus monitoring service, Log Service, ActionTrail, Container Registry, and more. It’s recommended for developers, Operators & Maintainers. The ACP DevOps Engineer Certification is designed for developers and operational experts who will be deploying applications on Alibaba Cloud using DevOps tools and best practices. The exam covers Alibaba Cloud's Kubernetes Container Service (ACK), the ARMS Prometheus monitoring service, Log Service, ActionTrail, Container Registry, and more. To earn an official Alibaba Cloud certificate please find the register portal on Academy's website: https://edu.alibabacloud.com/certification/acp_devops
Universitat Politècnica de València
Basic Math: Integrals
Focused on integral calculus, this course reviews fundamental concepts including primitives, (pseudo)immediate integration, change of variables, integration by parts, and the definite integral's use in area determination.
Stanford University
Stories of Infection
This course introduces learners to a variety of infectious diseases using a patient-centered, story-based approach. Through illustrated, short videos, learners will follow the course of each patient’s illness, from initial presentation to resolution. Integrating the relevant microbiology, pathophysiology and immunology, this course aims to engage and entice the learner towards future studies in microbiology, immunology and infectious diseases. The patient-centered videos included in this course were created as part of the Re-imagining Medical Education initiative, led by Charles Prober MD, Senior Associate Dean of Medical Education at the Stanford School of Medicine. This initiative was the first of its kind to explore the collaborative creation of foundational medical education online content by inter-institutional teams of faculty. The content presented in this course was created by faculty from Stanford University School of Medicine, in collaboration with The University of Washington School of Medicine, Duke University School of Medicine, UCSF School of Medicine, and The University of Michigan Medical School. Support for this initiative was provided by the Robert Wood Johnson Foundation and the Burke Family Foundation. PLEASE NOTE: Information provided in this course is for educational purposes only and is not intended to be used for diagnostic and/or treatment purposes.