The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Whizlabs
Generative AI for AWS Cloud Engineers
Generative AI for AWS Cloud Engineers course is designed for technical professionals aiming to master the integration, deployment, and optimization of large language models (LLMs) within the AWS cloud infrastructure. It aims to bridge the gap between traditional cloud engineering and the rapidly evolving landscape of generative AI. This course facilitates learners with approximately 4:00–5:00 Hours of Video lectures that provide a deep dive into both architectural theory and hands-on implementation. The course is structured into 3 Comprehensive Modules, with each module further split into technical lessons. To test the practical understanding of learners, every module includes Quizzes, and In-Video Knowledge Checks. Enroll in our “Generative AI for AWS Cloud Engineers” course to lead the next generation of cloud-native AI innovation. - Module 1: Gen AI on AWS - Amazon Bedrock - Module 2: Security and Governance of AI Solutions This course is specifically designed for technical professionals and cloud practitioners who aim to bridge the gap between core infrastructure and modern AI implementation. By the end of this course, a learner will be able to: - Understand foundational concepts, methods, and strategies related to artificial intelligence (AI), machine learning (ML), and generative AI (Gen AI) within the AWS ecosystem. - Identify appropriate AI/ML and generative AI technologies to address specific organizational use cases effectively. - Apply responsible practices in the utilization of AI, ML, and Generative AI technologies.
EDUCBA
Build and Implement Web Applications Using Golang
By the end of this course, learners will be able to configure a Go web server, design template-driven user interfaces, consume external APIs, process search results, structure responses, debug formatting issues, and implement pagination in a complete web application. This course provides a practical, end-to-end approach to building real-world web applications using Golang. Learners move beyond basic syntax to understand how Go is applied in modern web development, including HTTP handling, template rendering, asset management, structured data modeling, and API integration. Through a step-by-step progression, the course demonstrates how to build a functional search-driven web application that mirrors real industry workflows. Learners benefit by gaining hands-on experience with backend web development in Go, improving their ability to design scalable applications and troubleshoot common issues such as data formatting and pagination. The course emphasizes clean architecture, separation of concerns, and best practices that are directly transferable to professional projects. What makes this course unique is its project-centric design, incremental problem-solving approach, and focus on practical implementation rather than theory—making it ideal for developers who want to confidently apply Golang to real web applications.
University of Minnesota
Social Determinants of Health: Planetary Health
This fifth and final course is centered on planetary health as a fundamental health determinant. As we consider how the health of humans is dependent on the health of Earth’s natural systems, we will also explore how to apply futures thinking and foresight principles to planetary health initiatives. The topics of this course include: 1. Introduction to Planetary Health 2. Values and Sources of Knowledge 3. Action and Movement Building 4. Foresight 5. Data Applications: Regression Analysis and Scatter Plot Visualization
Universidad Austral
NLP Modelos y Algoritmos
Este curso te brindará los conocimientos necesarios para la implementación de algoritmos de NLP. Mediante el uso de los últimos algoritmos más populares en NLP se procederá a dar solución a un conjunto de problemas propios del área. Para realizar este curso es necesario contar con conocimientos de programación de nivel básico a medio, deseablemente conocimiento básico del lenguaje Python y es recomendable conocer los Jupyter Notebooks en el entorno Anaconda. Para desarrollar aplicaciones se va a utilizar Python 3.6 o superior. Alternativamente se puede utilizar el entorno de Anaconda con la misma versión de Python. Como editor de código, los ejemplos van a ser editados en el Notebook de Anaconda, pero el alumno puede utilizar cualquier editor de texto que reconozca notebooks de Anaconda. Librerías que es necesario tener instaladas para realizar el curso: NLTK, Scikit-learn, Spacy y TensorFlow.
National Academy of Sports Medicine
Nutrition Hot Topics and Controversies
Within the ever-changing nutrition landscape, it becomes difficult to understand current trending topics. Without a doubt, your friends and neighbors will have questions regarding these nutrition hot topics. Most people want to know what to believe or discard from what they hear, but they often lack the tools or the knowledge (or the time) to research topics as they become popular. This course has been designed to take an in-depth approach to explain the science behind many nutrition hot topics and controversies faced by discerning readers today including organic vs. conventionally farmed foods, grass-fed, GMOs, gluten, sweeteners vs. nonnutritive sweeteners in addition to the myths behind detoxes and cleanses. With over 30 years as a leader in fitness and wellness education, the National Academy of Sports Medicine (NASM) has built its reputation on providing an evidence-based curriculum that is both relevant and applicable for those seeking the skills and knowledge required to promote optimal health.
Pearson
Java SE 17 Developer (1Z0-829): Unit 1
Unlock the full potential of Java programming with our comprehensive course designed to elevate your skills in handling date, time, text, numeric, and Boolean data. This course meticulously covers the essentials, from mastering primitives and wrapper classes to leveraging the powerful Date/Time API introduced in Java 8. Dive deep into the intricacies of String manipulation, explore the innovative text block feature, and gain proficiency in using StringBuilder for efficient text handling. Our expertly crafted lessons will guide you through the complexities of Java operators, type promotion, and casting, ensuring you understand the nuances of arithmetic and Boolean expressions. By the end of this course, you will have a solid foundation in managing data types and expressions, empowering you to write more efficient and effective Java code. Join us to enhance your programming expertise and stay ahead in the ever-evolving world of Java development.
University of Illinois Urbana-Champaign
Wetland Delineation Fundamentals
In this course, learners will get familiarized with the major components of wetland delineation, including the steps involved and the resources available for remote identification. They will explore the field indicators for hydrology, hydric soils, and vegetation, essential for accurate wetland delineation. The course will cover the best practices for writing wetland delineation reports and the differences between wetland delineation and jurisdictional determination. By the end of the course, learners will have a comprehensive understanding of the processes and indicators used in wetland delineation, enabling them to conduct accurate and effective assessments. This course is part of the College of ACES suite of online programs, including the graduate-level certificate, "Wetland Science and Conservation" that can be stacked toward an online master's degree in Natural Resources and Environmental Sciences. To learn more about online programs from the College of ACES and explore ways to apply your Coursera work toward a degree program at the University of Illinois, visit ACES Online at acesonline.illinois.edu.
Fred Hutchinson Cancer Center
Researcher's guide to RNA sequencing data
This course is a follow up course to "Choosing genomics tools" which dives into further detail about RNA informatics methods! This course is for individuals who: - Have taken Researcher's Guide to Fundamentals of Omic Data - Have RNA data and don’t know what to do with it. - Want a basic overview of their RNA focused data type. - Want to find resources for processing and interpreting RNA data What this course will cover: - Fundamentals of RNA methods. - Resources you may consider looking into for your own purposes. - Questions you should ask yourself and your colleagues about your goals and experimental design. What this course will NOT cover: - Code needed to process your data. - Details about every type of experimental design. - Everything you’d need to know to make you a computational biologist. In other words we still highly encourage you to consult your informatics and computational colleagues, especially those who may have done any handling of data you are trying to learn about.
Coursera
Automation with Ansible: Web Server Deployment
In this 1-hour long project-based course, you'll learn how to automate web server deployment using Ansible, enabling efficient and scalable infrastructure management. You'll set up an Ansible control node, define inventory files, and create playbooks to deploy and configure Nginx automatically. Additionally, you'll explore the use of variables, handlers, and templates to make your deployments dynamic and reusable. Through hands-on exercises, you'll verify deployments, troubleshoot common issues, and implement best practices for managing web servers with Ansible. By the end of this project, you'll have the skills to automate web server provisioning confidently, ensuring consistency and reliability in your infrastructure. This is an intermediate level project meant for DevOps engineers and IT professionals looking to streamline server provisioning and configuration. For successful participation in this project, it is preferable that you have a basic understanding of Linux/Unix command-line operations, specifically the use of 'systemctl' and 'service' commands for managing services, as well as familiarity with SSH (secure shell) for remote access. Additionally, knowledge of YAML syntax is required, as it is used for writing Ansible playbooks.
Lund University
European Business Law: Doing Business in Europe
This six-week course titled Doing Business in Europe is the second in a series of three exploring some of the main business aspects of European Union law. Besides providing learners with a sound knowledge base of European laws and regulations relevant to establishing and managing a company within the European Union, the course also explores business considerations within a broader perspective by including inputs from leading law practitioners in the field. More specifically, the course discusses strategic and financial considerations within Company law, as well as Labour law issues such as restructuring enterprises, working conditions and handling crises situations. The course also examines other legal areas such as Tax law, Environmental law and Private International law, and how they tie in to doing business in Europe. At the end of this course, you will have a basic understanding of how to: · Understand the relevant regulations governing the internal European Union market · Establish and run a company within the European Union · Employ staff and recognize workers’ rights and obligations · Comply with tax regulations and environmental standards · Set up agreements and resolve cross-border disputes · Successfully analyse EU case law and draft case reports About the Series The Lund series in European Business Law ranges from considering the basic structures and principles of the European Union to focusing on specialized areas of European Union law. The first course, Understanding the Fundamentals, examines the core structures and principles of the European Union. The third and final course, Competing in Europe, goes into depth concerning how to compete on the internal market and protect your brand, product or invention. All three courses can be taken independently or in sequence depending on your needs and preferences. To keep up to speed on the course series, visit our Facebook page at: https://www.facebook.com/eblmooc/ Syllabus and Format Each course consists of a number of modules where one module represents about one week of work. A module includes a number of lectures and readings, and finishes with an assessment – a quiz or a peer graded assignment. The assessments are intended to encourage learning and ensure that you understand the material of the course. Participating in forum discussions is voluntary. Course I - Understanding the Fundamentals Module 1. Introduction Module 2. Legal Method and Sources Module 3. Constitutional Freedoms and Fundamental principles Module 4. Enforcement of EU Law and Judicial Review Module 4. Freedom of Movement Module 5. The External Dimension Course II - Doing Business in Europe Module 1. Making Business Transactions Module 2. Establishing a Company Module 3. Employing and Working in Europe Module 4. Paying Taxes and Complying with Environmental Standards Module 5. Resolving Cross-border Disputes Module 6. Case Clinic Course III - Competing in Europe Module 1. Trademarks as essential Assets Module 2. Defending Patents Module 3. Competition: Illegal Agreements Module 4. Competition: Abuse of Dominance and Mergers Module 5. Selling to the State and State Aid Module 6. Legal Writing and Argumentation Lund University Lund University was founded in 1666 and has for a number of years been ranked among the world’s top 100 universities. The University has 47 700 students and 7 500 staff based in Lund, Sweden. Lund University unites tradition with a modern, dynamic, and highly international profile. With eight different faculties and numerous research centers and specialized institutes, Lund is the strongest research university in Sweden and one of Scandinavia's largest institutions for education and research. The university annually attracts a large number of international students and offers a wide range of courses and programmes taught in English. The Faculty of Law is one of Lund University’s four original faculties, dating back to 1666. It is a modern faculty with an international profile, welcoming both international and Swedish students. Education, research and interaction with the surrounding community are the main focus of the Faculty’s work. The connection between the three is particularly apparent in the programmes and courses offered by the university, including the university’s MOOC course in European Business Law. The students get the chance to engross themselves in traditional legal studies, while interacting with both researchers and professionally active lawyers with qualifications and experience from various areas of law. The faculty offers three international Masters: two 2-year Master’s programmes in International Human Rights Law and European Business Law, and a 1-year Master’s in European and International Tax Law. Students from around 40 countries take part in the programmes which offer a unique subject specialization within each field, with highly qualified researchers and professional legal practitioners engaged in the teaching. The Master’s programme in European Business Law provides an in-depth understanding of both the practical and the theoretical aspects of business law within the European Union. The programme provides both general and specific knowledge of the European Union legal framework, which is necessary for students intending to work as legal advisors or business decision-makers. The programme is delivered in English and is open to students with at least a three year degree in Law (Bachelor, LL.B, or equivalent) who want to specialise in European economic and business law. The MOOC course in European Business Law is a great course to start with for students intending to apply for the Master’s programme in European Business Law. Even though the MOOC course does not grant credits previous knowledge of the subject is considered upon admission to the master’s programme. For more information about the Master’s programme in European Business Law see https://www.law.lu.se/#!meb
Packt
Python for Data Visualization - A Beginner's Guide
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. In this course, you'll learn how to effectively use Python for data visualization. You will start by setting up your environment and installing key libraries like Anaconda, Matplotlib, Seaborn, and Cufflinks, which are the cornerstone tools for data visualization in Python. You'll explore reading and processing data with Pandas, setting the stage for building powerful visuals. As the course progresses, you’ll dive deeper into creating different types of plots, including line plots, histograms, bar charts, scatter plots, and time-series visualizations. You'll master various customization techniques to modify colors, labels, axes, and styles to enhance the clarity and impact of your visualizations. You’ll also learn to manage multiple plots in a single figure, use Seaborn for aesthetic charts, and get hands-on with Plotly and Cufflinks for interactive, 3D visualizations. The course is perfect for beginners with no prior experience in Python or data visualization. It is designed for anyone interested in leveraging Python to present data in engaging, meaningful ways. By the end of the course, you will be able to confidently create visualizations using Matplotlib, Seaborn, and Plotly. You will also be able to visualize time-series data and manage data visuals in multi-plot layouts, making it ideal for those who want to enhance their data analysis skills. By the end of the course, you will be able to create line, bar, scatter, and 3D plots, visualize time-series data, and manipulate chart aesthetics to communicate complex data insights effectively.
Coursera
Learn Angular Routing by building a Cocktails Application
In this 2-hours long project-based course, you will build an Angular application that uses a real API to fetch and display cocktail recipes. You will master the basics of Angular routing, authorization and lazy loading NgModules. You need some basic understanding of Angular before going into this course. We recommend checking out the Angular 101 Guided project - https://www.coursera.org/learn/angular-101/.
Duke University
Community-Based Climate Change Solutions
Climate change will have tremendous impacts on every human community across the globe. However, because of the context of both how climate is changing and how communities are organized and function, it can be disastrous to apply the same solutions across the board. This course will teach you the basic principles needed to identify the dynamics and needs of each community, build on its strengths, and adopt best practices and practical frameworks for adapting climate change solutions to local contexts. You’ll learn tools and approaches to put these principles into practice across different community settings, regardless of your level of prior experience. This course is intended for professionals who have been tasked with implementing climate change solutions at the community level, whether in urban or rural areas or in industrialized or developing countries. Upon completion of the course, you will be able to effectively select and adapt climate change solutions to best match the specific social and environmental context of each community, and to engage community members in implementing sustainable solutions that produce positive, equitable outcomes. This course requires no previous knowledge of climate change solutions or of community engagement, and people with this knowledge will also benefit from the course.
Google Cloud
利用 Gemini CLI 加快应用开发速度
本课程的适用对象是想要借助于 Gemini CLI（一款专为终端打造并由 Gemini 提供支持的生成式 AI 智能体）来更智能地工作的应用开发者和 DevOps 工程师。 本课程探讨了 Gemini CLI 的安装和配置，并介绍了其应用场景和安全最佳实践。课程中还详细讲解了命令、工具、MCP 服务器和扩展程序。通过实践练习，您将安装和配置 Gemini CLI，并使用它来分析代码以及构建和修改应用。
Coursera
GenAI for Paralegals: Streamlining Legal Drafting
In this course, you will discover how Generative AI is revolutionizing the paralegal profession by enhancing efficiency in legal research, document preparation, and workflow automation. Designed to equip you with both knowledge and hands-on skills, this course will empower you to harness AI for legal research, document automation, and workflow optimization. Through practical applications and real-world case studies, you’ll learn how to integrate AI tools seamlessly into your daily work, boosting efficiency while maintaining accuracy and ethical integrity. This course is designed for paralegals, legal assistants, legal support staff, paralegal students, and law firm administrative professionals who want to enhance their efficiency and stay ahead in the evolving legal industry. Whether you’re looking to streamline routine tasks, improve accuracy in legal research, or integrate AI into your workflow, this course will provide the essential skills needed to leverage Generative AI effectively. While no prior experience with AI is required, learners should have a basic understanding of paralegal duties and legal document preparation. A willingness to engage with new technology and explore AI-driven solutions for legal work will help you maximize the benefits of this course. By the end of this course, you’ll be equipped to integrate Generative AI into your paralegal workflow, streamlining legal research, automating document drafting, and enhancing efficiency while maintaining accuracy and ethical integrity. With AI reshaping the legal field, your ability to leverage these tools will set you apart as a skilled and forward-thinking professional. Now, it’s time to apply your new skills and embrace the future of AI-powered legal support!
Cisco Learning and Certifications
Examining MPLS VPN Operation
Elevate your network expertise with this comprehensive course on VPN principles and MPLS VPN architecture. You'll gain an in-depth understanding of VPNs—why they were created, the essential terminology, and how overlay and peer-to-peer models differ in implementation, benefits, and challenges. The curriculum moves beyond the basics to unravel the unique components and layered structure of MPLS VPNs, including route distinguishers (RDs), route targets (RTs), virtual routing tables, and address propagation. Uniquely, this course offers a side-by-side perspective from both customer and service provider viewpoints, clarifying how routing tables function on PE routers and how end-to-end data flows via MPLS VPN backbones. You’ll learn when and why organizations deploy VPNs, the advantages they bring for efficiency and security, and how MPLS traffic engineering drives performance—insights essential for future network architects and troubleshooters. By capturing these advanced concepts in a practical context, you’ll be prepared to design, configure, and optimize networks that are robust, secure, and scalable—a capability increasingly sought after in today’s interconnected world.