The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
University of Copenhagen
An Introduction to Global Health
This course will provide you with an overview of the most important health challenges facing the world today. You will gain insight into how challenges have changed over time, we will discuss the likely determinants of such changes and examine future projections. Successful international strategies and programs promoting human health will be highlighted and global health governance structures will be mapped and the role of the key actors explored.
Google Cloud
Workload Manager Validation for SQL Server
This is a self-paced lab that takes place in the Google Cloud console. Workload Manager for SQL Agent.
Packt
Vector Databases Deep Dive
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 offers an in-depth exploration of vector databases, focusing on their principles, applications, and future trends. By the end of the course, you'll gain a deep understanding of how vector databases function and how they differ from traditional databases. You'll also grasp the essential concepts that underpin modern data systems, like vectors, embeddings, and distance metrics, and how they enable enhanced search and data retrieval processes. You’ll start by learning the fundamentals of vector databases, including the core concepts and the growing importance of these systems in data management. The course will then walk you through key principles, illustrating how vector databases have emerged as a powerful tool for managing high-dimensional data. As you progress, you will delve into critical topics such as embeddings, distance metrics, and various database indexing techniques, gaining a comprehensive view of how they drive faster, more efficient searches. The course also includes detailed discussions on vector search and similarity, with specific attention to the K-Nearest Neighbors (KNN) and Approximate Nearest Neighbors (ANN) algorithms. You'll learn how these technologies optimize the retrieval of similar data points and understand the trade-offs between different search approaches. Real-world applications, like fraud detection, will be used to demonstrate how these concepts play out in practice. This course is ideal for data professionals, engineers, and developers interested in mastering vector databases. It’s suitable for learners with a foundational understanding of databases and data structures. As the course progresses, you’ll develop expertise in various vector database technologies, from Pinecone and Qdrant to Milvus and Weaviate, with hands-on demos to solidify your skills.
Coursera
Master Confluence Basics
Master Confluence Basics teaches IT professionals how to use Confluence effectively for everyday documentation, collaboration, and knowledge management. This hands-on course focuses on recognizing when Confluence is the right tool, navigating the interface with confidence, and applying clear space and page structures that scale from individual work to team environments. Learners explore common business use cases such as internal documentation, onboarding, coordination, and decision tracking. Through guided videos, screencasts, and hands-on activities, learners create a personal Confluence space, add pages, and build a visible page hierarchy that supports findability and long-term usability. Coach dialogues encourage learners to think like IT leaders, evaluating how structure and consistency improve transparency and operational continuity. By the end of the course, learners are prepared to apply Confluence intentionally in real IT workflows, reduce reliance on tribal knowledge, and support effective collaboration across teams.
Packt
Generative AI & AWS AI Practitioner Certification
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. This comprehensive course covers the essentials of Generative AI and prepares you for the AWS AI certification exam. You’ll start by exploring AI/ML fundamentals, including various machine learning models, data types, and the differences between supervised, unsupervised, and reinforcement learning. As you advance, the course dives into Generative AI, focusing on foundation models, Large Language Models (LLM), and transformer architectures that power modern AI systems. You will also gain hands-on experience with AWS tools like Amazon Bedrock and SageMaker, learning to deploy, fine-tune, and optimize models in a cloud environment. The course equips you with both theoretical knowledge and practical skills, ensuring you're prepared for real-world applications. Throughout the journey, you’ll first build a strong foundation in AI/ML concepts and deep learning. From there, you'll dive into the exciting world of Generative AI, learning how it generates creative outputs and its applications across industries. You'll also explore AWS’s generative AI tools like Amazon Bedrock and SageMaker, which will help you master the skills needed to work in the cloud and deploy scalable AI models. By the end of the course, you’ll have a deep understanding of AI and its applications, making you ready to tackle complex problems with AWS's powerful tools. This course is designed for anyone interested in pursuing a career in AI and cloud computing, from aspiring data scientists to IT professionals looking to enhance their AI knowledge. There are no formal prerequisites, but familiarity with basic programming concepts or cloud computing can be beneficial. The course is suitable for intermediate learners with some foundational knowledge in tech or AI. By the end of the course, you will be able to develop generative AI models, fine-tune them for specific use cases, integrate them with AWS tools, and deploy AI applications on the cloud. You will also be well-prepared for the AWS AI certification exam, demonstrating your expertise in this emerging field.
Coursera
From Raw to Ready: Data Preparation in Python
In this course, you'll develop essential skills for transforming raw data into analysis-ready formats - a critical foundation for any data science workflow. You'll master techniques for importing data from diverse sources, manipulating complex datasets, and optimizing data structures for analysis. Working with real-world datasets from our EngageMetrics and MediTrack case studies, you'll build practical experience in data preparation that directly translates to professional scenarios. Upon completion, you'll be able to: • Import data into Python from CSV files, Excel spreadsheets, and APIs. • Create, manage, and manipulate DataFrames. • Filter, sort, merge, and group data to prepare it for analysis. • Manage and transform categorical and date/time data using Pandas. • Create and manipulate NumPy arrays, perform mathematical operations, and use vectorized functions. • Apply data import and manipulation skills to build a multi‑source data integration pipeline in a graded challenge.
EDUCBA
ExpressJS Essentials: Building Modern Web APIs
This comprehensive course provides a deep dive into Express.js, a robust web application framework for Node.js. Participants will master fundamental concepts, architecture, and the step-by-step process of setting up Express.js projects. Explore HTTP methods, route definition, and parameter extraction, gaining practical skills in setting up requests with Thunder Client and Postman tools. Delve into middleware's pivotal role, crafting custom functions and distinguishing built-in from custom middleware. Navigate error handling with proficiency in addressing synchronous errors and transmitting appropriate responses. The course extends to integrating MongoDB with Express.js, covering CRUD operations. Concluding with user authentication, participants acquire skills in generating and managing JWTs for secure authentication practices.
Packt
Unreal Engine 5 - The Complete Beginner's Course
Step into game development with Unreal Engine 5! This beginner-friendly course covers everything from setting up the engine to building interactive levels, scripting with Blueprints, and designing UI elements. You'll start with the basics—project setup, level creation, and object manipulation—before diving into Blueprints to create gameplay mechanics like moving platforms and AI enemies. Next, you'll develop player controls, implement collision-based interactions, and design a UI with menus and HUDs. You'll also enhance your game with audio effects and learn how to package your project for distribution. Ideal for beginners, this course requires no prior coding or game development experience. Whether you're an aspiring game developer or a hobbyist, you'll gain the essential skills to bring your game ideas to life!
Google Cloud
Administering an AlloyDB Database
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you perform administrative tasks that are essential to the optimal use of an AlloyDB for PostgreSQL database.
Google Cloud
Architecting with Google Kubernetes Engine: Production 日本語版
このコースでは、Kubernetes と Google Kubernetes Engine（GKE）のセキュリティについて、およびロギングとモニタリングについて学びます。また、Google Cloud マネージド ストレージ サービスとデータベース サービスを GKE 内で使用する方法についても学びます。 これは「Architecting with Google Kubernetes Engine」シリーズの 2 つ目のコースです。このコースを修了したら、「Reliable Google Cloud Infrastructure: Design and Process」コースか、「Hybrid Cloud Infrastructure Foundations with Anthos」コースに登録してください。
EDUCBA
Understand Human Resource Management Fundamentals
Learners will develop a clear understanding of Human Resource Management principles, analyze the evolution of HR practices, apply talent management and acquisition strategies, and evaluate performance and career development systems within organizations. This beginner-level course provides a structured and practical introduction to Human Resource Management, guiding learners through the core functions that support organizational success. Starting with HR fundamentals and intellectual capital management, the course progresses to inclusive HR practices, talent acquisition, employee development, performance management, and career growth. Learners will gain practical insights into how HR strategies align with business goals, enhance employee engagement, and build a productive workforce. What makes this course unique is its end-to-end coverage of the HR lifecycle, combining strategic concepts with real-world HR practices in a clear, beginner-friendly format. Through well-organized modules, quizzes, and applied learning scenarios, learners build job-ready HR knowledge without requiring prior experience. By the end of the course, learners will be equipped with foundational HR skills applicable to entry-level HR roles, management positions, and business environments seeking effective people management.
Google
Explore Raw Data
Finding stories in data using exploratory data analysis (EDA) is all about organizing and interpreting raw data. Python can help you do this quickly and effectively. In this course, you’ll learn how to use Python to perform the EDA practices of discovering and structuring. By the end of this course, you will be able to: • Identify ethical issues that may come up during the data “discovering” practice of EDA • Use Python to merge or join data based on defined criteria • Use Python to sort and/or filter data • Use relevant Python libraries for cleaning raw data • Recognize opportunities for creating hypotheses based on raw data • Recognize when and how to communicate status updates and questions to key stakeholders • Apply Python tools to examine raw data structure and format. • Use the PACE workflow to understand whether given data is adequate and applicable to a data science project • Differentiate between the common formats of raw data sources (json, tabular, etc.) and data types
Skillshare
Advanced Guide to Adobe InDesign CC: Pro Styles & Layouts
If you're ready to level up your InDesign workflow and already know your way around the basics, this course is the perfect next step. Whether you're self-taught or coming from my beginner class, Kate Silver will take you to explore advanced preferences, optimized workspace setups, and powerful styling tools that will seriously boost your design speed and precision. By the end of this course, you’ll know how to: * Master Paragraph & Character Styles for professional consistency * Use advanced bullet styling, emoji bullets, and nested styles * Set up smart workspaces, auto-activate fonts, and save to CC Libraries * Design restaurant menus, flyers, and QR code layouts with flair This is for designers who want a more efficient, pro-level way to work in InDesign — especially those who want to build real-world, portfolio-ready projects as they go. You’ll get access to free templates and exercise files to follow along step by step. To be successful, you should already be familiar with Adobe InDesign basics — either from experience or by completing my beginner course. Instructor bio: Kate Silver is a graphic and shoe designer, Top Teacher on Skillshare, and instructor at the UK’s leading Adobe training center in London. She creates beginner and advanced courses on design software including Adobe Photoshop, Illustrator, InDesign, Canva, and more. With experience designing for brands like Jimmy Choo and Sophia Webster, Kate brings hands-on expertise to her classes, making complex tools simple and accessible. Her lessons focus on clarity, practical projects, and smart shortcuts to help students build real skills with confidence.
Whizlabs
AWS: Monitoring, Logging and Governance
AWS: Monitoring, Logging, and Governance Course is the fifth course of Exam Prep: AWS Certified DevOps Engineer - Professional Specialization. This course teaches the concepts of monitoring, logging, and tracking the resiliency of your applications by exploring services in AWS. Learners will be able to deploy serverless applications in powerful ways using managed repositories. The course is divided into three modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 3:00-3:30 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module in order to test the ability of learners. Module 1: Monitoring and Logging in AWS Module 2: Governance Controls in AWS Module 3: Deploy Serverless Architectures One year of experience in monitoring AWS resources throughout the infrastructure. Candidates should have knowledge of monitoring, governance, and logging concepts and how to use related AWS tools. By the end of this course, a learner will be able to: - Implement governance controls in AWS. - Explore the methods to track the resilience of the applications on AWS. - Describe the deployment workflow tool in AWS. - Analyze, debug, and trace production and distributed applications in AWS.
Johns Hopkins University
Leading Change in Health Informatics
Do you dream of being a CMIO or a Senior Director of Clinical Informatics? If you are aiming to rise up in the ranks in your health system or looking to pivot your career in the direction of big data and health IT, this course is made for you. You'll hear from experts at Johns Hopkins about their experiences harnessing the power of big data in healthcare, improving EHR adoption, and separating out the hope vs hype when it comes to digital medicine. Whether you're a nurse, pharmacist, physician, other allied health professional or come from a non-clinical background--you know that Health Informatics skills are in demand. This newly launched 5-course specialization by JohnsHopkins faculty members provides a solid foundation for anyone wanting to become a leader in one of the hottest fields in healthcare. As health informaticians, we need to be very clear in our understanding of the current state (as-is), the future state (to-be) and any unintended consequences that can result from our interventions. Prior to introducing large scale change, we need to assess whether a healthcare organization is truly ready for change. This involves taking into account an organization's current culture and values. Successfully leading change through health informatics also requires strategic planning and careful financial considerations. Proper workflow redesign and a clear change management strategy are of utmost importance when introducing new technologies and in ensuring their successful adoption and proper use. By the end of this course, students will become familiar with examples of successful and failed attempts at change in health informatics, and the reasons for each. Students will be armed with tools to help optimize their chances for successfully leading change in their respective organizations.
Yale University
Les médias numériques pour améliorer les résultats de santé
Le cours « Évaluation des résultats des médias numériques en matière de santé » formera les professionnels de la communication dans le domaine de la santé à tirer parti des connaissances sociales et comportementales pour concevoir, mettre en œuvre et évaluer les communications en ligne en matière de santé. Le cours est conçu comme un tutoriel complet et factuel sur les étapes tactiques clés pour développer et mettre en œuvre des campagnes de santé réussies sur les médias sociaux, et pour évaluer leurs performances et leur impact sur les comportements liés à la santé. Tout au long du cours, les étudiants découvriront les bonnes pratiques pour concevoir des messages pertinents et des visuels de campagne. À la fin du cours, ils seront en mesure de mettre en œuvre une stratégie de communication numérique avec des objectifs de campagne réalisables et d’évaluer son impact à l’aide de statistiques publicitaires, de données d’enquête, d’indicateurs de coût et de couverture.