The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google Cloud
Ihre Organisation mit generativen KI-Agenten voranbringen
„Ihre Organisation mit generativen KI-Agenten voranbringen“ ist der fünfte und letzte Kurs des Lernpfads „Gen AI Leader“. In diesem Kurs erfahren Sie, wie Unternehmen mit benutzerdefinierten generativen KI-Agenten spezifische geschäftliche Herausforderungen meistern können. Sie lernen, wie Sie einen einfachen Agenten für generative KI erstellen, und machen sich mit den Komponenten dieser Agenten vertraut, z. B. mit Modellen, Reasoning Loops und Tools.
IBM
How to Modernize applications with IBM CICS
This course explains why CICS is perfect for powering the next generation of enterprise applications and how you can help build them. IBM CICS is the trusted core of enterprise applications and transaction processing. You will experience writing, updating and running CICS applications as well as the new APIs, capabilities and functions that will allow you to modernize these applications to run as part of a hybrid cloud application. On successful completion of this course, the learners are eligible to claim a badge. More information can be found here: https://www.credly.com/org/ibm/badge/how-to-modernize-applications-with-ibm-cics
EDUCBA
Apply Java Concepts Through a Real-World Case Study
By the end of this course, learners will be able to analyze real-world requirements, design structured Java applications, implement business logic using object-oriented principles, integrate databases and multithreading, and deploy a complete, production-ready Java project. This course provides a comprehensive, hands-on learning experience through a full-length Java case study that mirrors real software development workflows. Instead of isolated examples, learners progressively build a single project from initial planning and core foundations to advanced integration, optimization, testing, and deployment. Each module reinforces practical decision-making, clean code practices, and scalable design using core Java concepts such as OOP, collections, exception handling, JDBC, multithreading, and performance tuning. Learners benefit by gaining industry-relevant skills that bridge the gap between theoretical Java knowledge and real-world application development. The course is uniquely structured around a continuous case study, enabling learners to see how individual concepts connect across the entire project lifecycle. This makes the course ideal for students, developers, and professionals who want to confidently apply Java in real projects, interviews, and workplace environments.
Sciences Po
Cities are back in town : sociologie urbaine pour un monde globalisé
La mondialisation et l'européanisation favorisent le développement rapide des villes à travers le monde. L'urbanisation atteint de nouveaux sommets aujourd’hui avec l'essor des mégacités (plus de 15 millions d'habitants) comme Calcutta, Los Angeles, Dhaka, Le Caire, Tokyo, New York, Shanghai, Mexico ou Séoul. Au-delà de la métropole moderne, les chercheurs tentent de donner un sens à ces grandes régions urbaines au moyen de concepts divers tels que « post-métropoles », « villes globales », et « régions métropolitaines globales ». Ce cours passera en revue les débats et les modèles de villes et métropoles actuels proposés par les sciences sociales afin d'en analyser et comparer les développements contemporains. Comment étudier ces villes quand elles deviennent des mégarégions urbaines, leur taille importe-t-elle et en quoi ? Assiste-t-on à la naissance d'un immense monde urbain ou, au contraire, au-delà de l'apparente convergence de processus de mondialisation complexes, compris dans leur relation avec le capitalisme mondial, est-il possible d'identifier des différenciations masquées et le renforcement de mondes urbains distincts ? Quel sens donner à ce monde urbain alors que les villes ne sont pas des unités indépendantes mais doivent être comprises non seulement en termes de territoires et d'enracinement mais également de relations, afin de prendre en compte les flux, la mobilité, les circulations ? Quelle pertinence peuvent avoir des concepts de sciences sociales développés en Occident pour l'analyse de la transformation de Lagos ? Jusqu'à quel point le développement systématique de nouvelles formes de comparaison entre les villes du Nord et du Sud peut-il faire évoluer les sciences sociales et contribuer à surmonter la tendance à privilégier les comparaisons entre nations ? Pour l'instant, dans les conditions actuelles du capitalisme, les questions politiques, économiques, culturelles et sociales deviennent de plus en plus urbaines. Selon la conception moderne de la ville mondiale, caractérisée par la taille, par l'agrégation des logements, les divisions différenciées du travail, et la densité des interactions, plusieurs conceptions de la ville ont fini par s'entremêler et parfois s'opposer. Ces conceptions soulignent différents processus d'intégration : la ville matérielle et ses murs, ses places, ses maisons, ses routes, ses services, ses bâtiments, ses déchets, et son infrastructure physique ; la ville culturelle des imaginaires, des différences, des représentations, des idées, des symboles, des arts, des textes, des sens, des religions, et des esthétiques ; la politique et les politiques de la ville en termes de domination, de pouvoir, de gouvernement, de mobilisation, de politiques publiques, de sécurité sociale, d'éducation ; la ville sociale des révoltes, des inégalités ethniques, économiques et de genre, de la vie quotidienne et des mouvements sociaux ; et l’économie de la ville : la division du travail, l'échelle, la production, la consommation, le commerce..... Les questions urbaines classiques portant sur les inégalités, le logement, le gouvernement, l'intégration, se mêlent aux questions sur le tissu urbain, sur la mobilité et l'enracinement, sur le développement durable et les risques, sur l'apparition des villes « cyborg », sur le contrôle social et les émeutes, la culture urbaine, l'innovation, et le développement économique urbain. Toutes les vidéos produites par Sciences Po pour ce MOOC sont sous licence Creative Commons (BY / NC / SA) Plan du cours Semaine #1 : Introduction, définitions, questions urbaines et l'utilisation de modèles Semaine #2 : Les villes européennes et le modèle d'intégration wébérien Semaine #3 : Les villes coloniales et post coloniales Semaine #4 : Les villes industrielles (et les villes socialistes) et les modèles marxistes Semaine #5 : Les métropoles américaines et l'école de Chicago, Semaine #6 : Les post-métropoles, fragments et différences Semaine #7 : Les villes mondiales et les mégacités Semaine #8 : Les villes intelligentes et la sociologie des sciences et technologies
Cisco Learning and Certifications
Implementing Complex MPLS VPNs
Unlock advanced expertise in MPLS VPN design with this comprehensive course focused on overlapping and central services VPN architectures. By completing this course, you’ll gain practical skills to address complex customer requirements, efficiently connect separate VPNs, and manage shared resources without compromising data isolation. You’ll discover how overlapping VPNs enable connectivity between distinct VPNs using unique route targets and VRF configurations. Delve into solution topologies for central services VPNs, learning how to architect centralized server access for multiple VPNs while maintaining strict segmentation. The course covers advanced VRF features, including route selection and route limitations, which help you safeguard network performance and adherence to service level agreements. You’ll also explore real-world scenarios involving internet access integration and network management, understanding the nuances of combining internet access with MPLS VPN services to offer robust, tailored solutions for customers. This course stands out for its in-depth exploration of both technical mechanisms and customer-centric design principles, empowering you to recommend, configure, and optimize MPLS VPN networks for diverse business needs. Whether you’re a network engineer or architect, this course will enhance your ability to maximize network resources and deliver innovative, secure service options.
Coursera
LLM Engineering with RAG: Optimizing AI Solutions
In this course, you’ll learn how to integrate enterprise data with advanced large language models (LLMs) using Retrieval-Augmented Generation (RAG) techniques. Through hands-on practice, you’ll build AI-powered applications with tools like LangChain, FAISS, and OpenAI APIs. You’ll explore LLM fundamentals, RAG architecture, vector search optimization, prompt engineering, and scalable AI deployment to unlock actionable insights and drive intelligent solutions. This course is ideal for data scientists, machine learning engineers, software developers, and AI enthusiasts who are eager to harness the power of large language models (LLMs) in enterprise applications. Whether you’re building AI solutions for customer service, content generation, knowledge management, or data retrieval, this course will equip you with practical skills to bridge the gap between enterprise data and cutting-edge AI capabilities. To succeed in this course, learners should have a basic understanding of machine learning principles and some hands-on experience working with large language models (such as using OpenAI APIs or Hugging Face models). Proficiency in Python programming is essential, along with a basic understanding of how APIs work. These foundational skills will ensure you can comfortably follow along with the hands-on projects and technical demonstrations throughout the course. By the end of this course, learners will be able to seamlessly integrate large language models (LLMs) with enterprise data applications, enabling smarter and more context-aware AI systems. They will gain the skills to evaluate and apply retrieval-augmented generation (RAG) techniques to enhance both the accuracy and efficiency of information retrieval and content generation processes. Additionally, learners will master the art of prompt refinement to optimize the quality and relevance of AI-generated responses, and they will be equipped to design and deploy scalable, LLM-powered solutions that address complex real-world challenges faced by modern enterprises.
Northeastern University
AI Innovation in Healthcare
AI is transforming healthcare, offering new ways to improve diagnostics, personalize treatment, and streamline clinical workflows. In this course, you will explore why AI is essential in modern healthcare, examining how data—ranging from electronic health records to medical imaging—drives AI-powered solutions. You’ll be introduced to key data exploration techniques used to uncover patterns and insights in healthcare data, as well as foundational AI approaches, including traditional rule-based systems, predictive analytics, and emerging generative AI models. We’ll also discuss the challenges of AI in healthcare, including biases, ethical concerns, and AI ‘hallucinations’—instances where AI generates misleading or incorrect information. By the end of this course, you’ll have a solid understanding of AI’s capabilities and limitations in healthcare and be prepared to critically assess its role in patient care and decision-making.
Packt
Microsoft Sentinel Skills
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 comprehensive course, you will master Microsoft Sentinel, a powerful cloud-native security information and event management (SIEM) solution. You’ll begin by understanding the architecture of Sentinel, including its roles and permissions, prerequisites, and cost structures. By the end of this section, you'll be able to set up and manage the foundational aspects of Sentinel, preparing you for its deployment and management. The course then guides you through the deployment process, including onboarding and familiarizing yourself with the platform’s interface. As you progress to the "How Do I?" section, you’ll dive deep into real-world security scenarios. Learn how to deploy out-of-the-box content, integrate threat intelligence platforms, and utilize Azure Monitor Workbooks to enhance your security operations. You'll also develop the skills to create custom analytics rules, anomaly detection rules, and configure advanced multi-stage attack detection. This course is designed for IT professionals and security experts who want to enhance their ability to manage security monitoring and detection in Microsoft Sentinel. It’s suitable for those with some familiarity with security systems but who may be new to Sentinel itself.
Coursera
Adobe Indesign for Beginners: Workshop Flyer Design
**Enroll in this Guided Project before April 2026, for a free 1-month trial to the Creative Cloud Pro Plan!** In this 1-hour long project-based course, you will take your first steps into the world of professional design with Adobe InDesign. Through a series of engaging video lessons and hands-on exercises, you'll gain the fundamental skills to create eye-catching flyers, brochures, and basic publications. You’ll learn how to navigate the InDesign interface with confidence, craft compelling layouts using frames and guides, master text formatting and typography basics, and integrate images for dynamic visuals as well as apply color to enhance your designs. By the end of this project, you'll be able to design professional-looking marketing materials and gain a solid foundation for future InDesign exploration. This course is perfect for beginners with no prior design experience or those seeking a refresher on InDesign's essential tools. Let's unlock your design potential!
Creo Incubator
Teambuilding for Leaders
The CREO Teambuilding for Leaders Course supports leaders and founders in building strong, cohesive, and collaborative teams. The course focuses on developing the skills needed to foster trust, connection, and shared purpose within teams, particularly in start-up and fast-growing organisational contexts. Participants explore practical approaches to team formation, communication, and collaboration. The course examines how leadership behaviours, team dynamics, and psychological safety influence performance and engagement. Learners also develop strategies for creating inclusive team cultures, clarifying roles and expectations, and addressing common team challenges such as misalignment, conflict, and low collaboration. Through applied exercises and real-world examples, participants gain tools to strengthen relationships, encourage collaboration, and build teams that can work effectively toward shared goals. The course emphasizes practical leadership actions that support sustainable team performance and resilience. By the end of this course, you will be able to: - Identify key factors that contribute to effective team dynamics - Apply leadership practices that foster trust and collaboration - Build clear roles, expectations, and shared goals within a team - Address common team challenges constructively - Develop strategies to strengthen team cohesion and performance Prerequisites: - No prior leadership or people-management experience is required. The course is suitable for aspiring leaders, founders, and professionals responsible for building or leading teams.
Google
Maximize Productivity With AI Tools
Leverage generative AI tools to speed up work tasks and boost your productivity. Examine the important role humans play in the effective use of AI, and understand the types of workplace tasks you can augment with AI. By the end of this course, you will be able to determine if AI is right for a given task and how to use AI to accelerate workflows.
Arizona State University
Lesson Planning with the ELL in Mind
In this course you will learn how to design lesson plans around the needs of your ELL students and their language level through the analysis of content language and cognitive demands. You will learn how to align language objectives to the adopted standards of your school and content area. You will learn how to modify existing course materials as well as develop graphic organizers and languages frames to support ELLs’ access to content. Analysis of second language acquisition theories will be applied to lesson planning. Upon completing this course, you will be able to: * Conceptualize theories of second language acquisition as they apply to the planning of lessons through annotation * Assess the linguistic needs of your students using BICS and CALP * Identify content specific vocabulary, grammatical structures, and language functions necessary for a student to succeed in your classroom * Write language learning outcomes that align to your student’s linguistic and cognitive ability and your school’s adopted standards * Adapt a lesson plan that accomplishes the learning outcomes outlined in the lesson objectives * Modify materials to support ELLs’ access to content * Use a wide variety of graphic organizer templates and language frames to support ELLs’ access to content * Develop activity types appropriate to the cognitive and linguistic abilities of ELLs * Incorporate community and culture into lesson planning
Coursera
Encouraging Student Collaboration with Padlet
By the end of this project, you be able to use Padlet to create a collaborative classroom fostering interactive student engagements, creating virtual lessons, and more. With Padlet, teachers and students can collaborate in real time on lessons, projects, and anything else you can imagine. Together, we will learn how to use Padlet to connect with students during virtual learning, for in class collaboration, and discover ways to improve our ability to differentiate instruction using Padlet. The opportunities are endless. Let’s get started using Padlet together! *You will need a free 30-day trial with Padlet for this project.
Coursera
Advanced Data Science Techniques (with AWS Integration)
Learn advanced machine learning techniques and cloud deployment in this comprehensive course designed for data professionals. Through hands-on projects, you'll learn to build, evaluate, and deploy sophisticated machine learning models using AWS services, while leveraging AI tools to enhance your workflow. This course is perfect for data analysts and scientists ready to advance their machine learning capabilities and gain practical experience with cloud computing. Starting with advanced ML concepts and progressing through AWS integration, you'll develop the technical expertise needed to implement enterprise-level data science solutions. Upon completion, you'll be able to: • Build and evaluate sophisticated machine learning models using advanced techniques • Deploy scalable solutions using AWS SageMaker and related services • Perform advanced feature engineering with AI assistance • Implement time series analysis and unsupervised learning methods • Create end-to-end machine learning pipelines in the cloud
University of New Mexico
Administración Estratégica y Emprendedora
Este curso utiliza un enfoque basado en la investigación para entender las fuentes de las ventajas competitivas en las compañias y otras organizaciones.
Coursera
Anuncie su evento para recaudar fondos con Canva
Al final de este proyecto, usted habrá aprendido a comercializar y anunciar su su evento para recaudar fondos usando Canva tanto de manera digital, como local. Usted creará un post para Facebook, un poster y un flyer usando Canva. Crearemos diseños desde cero y modificaremos plantillas para crear nuestros proyectos. Usted podrá incorporar un esquema de color , imágenes, y otros elementos de diseño grafico. Crear anuncios de alta calidad es ideal para conectar con su público objetivo tanto de manera digital, como local. En este proyecto usaremos la versión gratis de Canva. Nota: Este curso es de mayor utilidad para estudiantes que residen en la región de América del Norte. Actualmente, estamos trabajando para proporcionar la misma experiencia en otras regiones.