The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Vanderbilt University
AI Agents in Java with Generative AI
AI Agents Are the Next Leap in Software. Learn to Build Them in Java. AI agents aren’t passive tools. They think, act, and solve problems—without waiting for instructions. That’s the future of software. And in this course, you’ll learn how to build it. Frameworks come and go. Principles last. This course cuts through the noise to teach you how AI agents really work—using rock-solid Java. Forget tutorials on trendy APIs that’ll be dead by next quarter. You’ll learn to build AI agents from the ground up. No fluff. No shortcuts. Just the core architecture that powers intelligent systems—knowledge that stays useful no matter how fast the landscape shifts. In this course, you will: - Master Java-based agent architectural fundamentals - Understand the core GAME components (Goals, Actions, Memory, Environment) that make AI agents tick and how they work together in a cohesive Java system - Leverage Java's strengths for efficient agent development - Use Java's reflection, annotation processing, and strong typing to create robust, maintainable agent frameworks with minimal boilerplate code - Rapidly prototype and implement Java agents - Learn techniques to quickly design Java agent capabilities with prompt engineering before writing a single line of code, then efficiently translate your designs into working Java implementations - Connect Java AI agents to real-world systems - Build Java agents that can interact with file systems, APIs, and other external services - Create Java-powered tool-using AI assistants - Develop Java agents that can analyze files, manage data, and automate complex workflows by combining LLM reasoning with Java's extensive libraries and functionality - Build Java developer productivity agents - Create specialized Java agents that help you write code, generate tests, and produce documentation to accelerate your software development process Why Principles Matter More Than Frameworks The AI landscape is changing weekly, but the core principles of agent design remain constant. By understanding how to build agents from scratch, you'll gain: - Transferable knowledge that works across any LLM or AI technology - Deep debugging skills because you'll understand what's happening at every level - Framework independence that frees you from dependency on third-party libraries and allows you to succeed with any of them - Future-proof expertise that will still be relevant when today's popular tools are long forgotten By the end of this course, you won't just know how to use AI agents—you'll know how to build them in Java, customize them, and deploy them to solve real business problems. This course will teach you these concepts using OpenAI's APIs, which require paid access, but the principles and techniques can be adapted to other LLMs.
Google Cloud
Résoudre les problèmes liés à Google Workspace
Ce cours a été conçu pour préparer les administrateurs Google Workspace à résoudre les problèmes courants liés à Google Workspace. Les participants s'entraîneront à diagnostiquer et résoudre des problèmes dans Gmail, Agenda et Drive, et à utiliser la console d'administration. Ils apprendront également à analyser des journaux d'audit pour résoudre des problèmes de sécurité, ainsi qu'à recueillir des informations et à exploiter les ressources disponibles pour résoudre et signaler des problèmes techniques.
Siemens
Dynamique des fluides numérique appliquée
Si vous lisez ceci, c'est que vous êtes probablement intéressé par la dynamique des fluides numérique (Computational Fluid Dynamics, CFD) appliquée utilisant le logiciel Simcenter STAR-CCM+ ou un autre outil CFD.Ce cours peut être une première étape pour améliorer vos performances professionnelles et faire progresser votre carrière ou votre parcours éducatif. Nous avons imaginé ce cours pour vous faire mieux connaître la physique des écoulements et la dynamique des fluides numérique et vous permettre de résoudre efficacement les problèmes d'écoulement et de transfert de chaleur. Ce cours n'est pas un mode d'emploi d'un logiciel particulier. Simcenter STAR-CCM+ a été utilisé pour toutes les simulations présentées dans ce cours.Néanmoins, les résultats seraient les mêmes si un autre logiciel public ou commercial était utilisé, à condition qu'il ait les mêmes capacités.
Microsoft
Cloud Computing Essentials with Azure Management
In this course you’ll cover the fundamentals of cloud computing, exploring key concepts, Azure services, and management tools. You’ll engage in hands-on projects, applying your knowledge to optimize resources using Azure Resource Manager (ARM) templates, Azure Policy, and Azure Monitor. You’ll also gain practical insights into automated deployment, governance, and resource optimization within the Azure ecosystem. After completing this course, you’ll be able to: • Discuss the basics and benefits of cloud computing. • Describe various cloud computing models and their applications. • Describe core Azure services, their features, and applications. • Discuss advanced features and capabilities of Azure services. • Implement comprehensive monitoring with Azure Monitor. This is also a great way to prepare for the Microsoft AZ-900 exam. By passing the AZ-900 exam, you’ll earn the Microsoft Azure Fundamentals certification.
University of Illinois Urbana-Champaign
Grow Your Cannabis
Grow Your Cannabis is a comprehensive course covering essential topics for cannabis cultivation. Whether you’re a beginner or an experienced cultivator, this course explores cultivars/varieties, environmental factors, phenotypic variation, cultivars, terpenes, and cannabinoid profiles. Learn to grow with confidence! Prior to enrolling in this course, it is recommended that learners complete Intro to Cannabis. https://www.coursera.org/learn/intro-to-cannabis
University of California, Irvine
Strategies for Converting and Retaining Customers Online
Welcome to Course 2 of the E-Marketing Specialization: Strategies for Converting and Retaining Customers Online. In this course, we will begin with an introduction to Search Engine Marketing. We will then explore elements of an effective marketing campaign, landing pages, and strategies for converting and retaining your customer base. You are highly encouraged to use this course experience to begin building a digital marketing plan for your current or future business. The activities in this course are all designed to guide you through different sections of a digital marketing plan. Our learning goals for this course are to: - Explore how to leverage keywords and search engine marketing in your ad campaigns - Develop a sample pay per click (PPC) ad campaign that aligns with your marketing goals - Analyze a landing page and identify successful and unsuccessful elements - Recognize how to apply calls-to-action to increase customer conversion - Identify tactics of customer conversion and retention to add to your digital marketing plan
University of California, Davis
Healthcare Data Quality and Governance
Career prospects are bright for those qualified to work with healthcare data or as Health Information Management (HIM) professionals. Perhaps you work in data analytics but are considering a move into healthcare, or you work in healthcare but are considering a transition into a new role. In either case, Healthcare Data Quality and Governance will provide insight into how valuable data assets are protected to maintain data quality. This serves care providers, patients, doctors, clinicians, and those who carry out the business of improving health outcomes. "Big Data" makes headlines, but that data must be managed to maintain quality. High-quality data is one of the most valuable assets gathered and used by any business. This holds greater significance in healthcare where the maintenance and governance of data quality directly impact people’s lives. This course will explain how data quality is improved and maintained. You’ll learn why data quality matters, then see how healthcare professionals monitor, manage and improve data quality. You’ll see how human and computerized systems interact to sustain data quality through data governance. You’ll discover how to measure data quality with metadata, tracking data provenance, validating and verifying data, along with a communication framework commonly used in healthcare settings. This knowledge matters because high-quality data will be transformed into valuable insights that can save lives, reduce costs, to improve healthcare and make it more accessible and affordable. You will make yourself more of an asset in the healthcare field by what you gain from this course.
Universidade Estadual de Campinas
PRINCÍPIOS GERAIS DA TÉCNICA DO VIOLINO E DA VIOLA DE ARCO
Esse curso visa fornecer informações sobre aspectos básicos da técnica do violino e da viola de arco. Ao longo de 18 aulas, com duração média de 7 minutos cada, serão abordados temas como posicionamento do instrumento, maneiras de posicionar a mão esquerda, como segurar o arco, como executar os principais golpes de arco, como estudar mudanças de posição, etapas para desenvolvimento do vibrato e sugestões para a organização do estudo diário do instrumento
John Wiley & Sons
Future of Work: Mastering Human Skills for the Age of AI
Based on the best-selling book , IRREPLACEABLE, by Pascal Bornet. This course provides a roadmap to thriving in an AI-driven world, focusing on developing the human skills that technology can't replicate. Learn how to stay relevant, adapt to AI disruptions, and lead effectively in a changing landscape. By mastering creativity, emotional intelligence, and critical thinking, you will become indispensable at work. You’ll gain practical strategies to enhance resilience, foster adaptability, and leverage AI to augment your abilities. Emphasizing a symbiotic relationship with AI, you’ll learn to enhance human skills while using AI tools to advance your career and lead teams. What sets this course apart is its blended exploration of cutting-edge AI knowledge with essential mental and emotional skills that allow you to stay competitive. This course is ideal for professionals, educators, and leaders who wish to adapt to AI disruptions and nurture their future-proof skills. While a foundational understanding of technology is helpful, this course is open to anyone ready to embrace personal and career growth. From IRREPLACEABLE Copyright © 2024 by John Wiley & Sons, Inc. All rights reserved. All rights, including for text and data mining, AI training, and similar technologies, are reserved. Published by John Wiley & Sons, Inc., Hoboken, New Jersey. Published simultaneously in Canada. Used by arrangement with John Wiley & Sons, Inc.
Tecnológico de Monterrey
1.- El Cálculo - Modelo Lineal
Este curso forma parte de una secuencia con la que se propone un acercamiento a la Matemática Preuniversitaria que prepara para la Matemática Universitaria. En él se asocia un significado real con el contenido matemático que se aprende y se integran tecnologías digitales en el proceso de aprendizaje. El contexto real del movimiento en línea recta será el marco con el cual asociamos un primer significado y recapitulamos contenidos preuniversitarios relacionados con el Modelo Lineal. Curso con crédito académico para alumnos admitidos y aspirantes a ingresar a su primer semestre de un programa de profesional en el Tecnológico de Monterrey. Si estás inscrito en este MOOC con el fin de obtener el crédito académico para el curso de Introducción a las matemáticas (Matemáticas Remedial), confirma tu interés en la acreditación a la cuenta: mooc@servicios.itesm.mx . Consulta las preguntas frecuentes para conocer el proceso de acreditación.
Northeastern University
Application Engineering and Development Part 1
This course is an introduction to the Java programming language and the concepts of object-oriented design. It not only covers the fundamentals of programming in Java, but it also brings in the concepts of object-oriented design. Topics include, but are not limited to, fundamentals of programming in Java, classes and methods, objects and references, overloading, inheritance, polymorphism, abstract classes and interfaces, basic data structures, and GUI applications. Students are expected to apply learned knowledge to address an identified problem found in the real world.
Whizlabs
Azure Identity, Governance, and Monitoring solutions
Azure Identity, Governance, and Monitoring Solutions is a foundational course designed to introduce learners to key security and governance strategies in Azure. This course is the first part of the Exam Prep AZ-305: Microsoft Certified Azure Solutions Architect Expert specialization. This course covers core Azure Identity, Governance, and Monitoring principles. It provides comprehensive insights into the Cloud Adoption Framework (CAF), the Azure Well-Architected Framework, and various Azure monitoring services. Learners will gain a deep understanding of Microsoft Entra ID, Azure Key Vault, Azure subscriptions, Role-Based Access Control (RBAC), and Microsoft Purview. This course is structured into three modules, each containing Lessons and Video Lectures. Learners will engage with approximately 5:30 - 6:00 hours of video content, covering both theoretical concepts and hands-on practice. Each module is supplemented with quizzes to assess learners' understanding and reinforce key concepts. Course Modules: Module 1: Azure Architecture and Monitoring Essentials Module 2: Microsoft Entra and Azure Security Solutions Module 3: Azure Governance, Access Management, and Data Catalog Solutions By the end of this course, a learner will be able to: - Explore fundamental Azure architectural best practices and monitoring strategies. - Implement robust identity and access management solutions using Microsoft Entra ID and Azure Key Vault. - Apply Azure governance principles, including subscription management and RBAC, to secure and manage resources. - Leverage Azure monitoring services for proactive operational insights and troubleshooting. - Utilize Microsoft Purview for comprehensive data governance and cataloging. This course is intended for individuals looking to enhance their expertise in securing, governing, and monitoring Azure environments, particularly those preparing for the Microsoft Certified Azure Solutions Architect Expert certification.
Politecnico di Milano
Communication skills for engineering scholars
The course teaches engineering scholars how to improve their communication skills, based on theory, examples and practical exercises. Topics include basics of rhetoric (how to be clear), basics of argumentation theory (how to be persuasive), public speaking, grant writing, scientific writing. The main target are engineering scholars; the first 3 weeks, though, can be useful to anyone wishing to improve their communication skills.
Google Cloud
Data Management and Storage in the Cloud
Hi again! This is the second course of the Google Cloud Data Analytics Certificate. Get cozy with the key components of data governance, normalized and star schemas, data catalogs, and data lakehouse architecture.
Vanderbilt University
Programming for a Networked World
Want to learn the basics of computer programming in a fun and innovative way? This course introduces computer programming using an educational block-based visual programming environment called NetsBlox (https://editor.netsblox.org/), emphasizing modern computer science concepts like networking, the internet, and distributed computing. The curriculum is hands-on, focusing on translating ideas into working computer programs and developing a mastery of practical computational literacy. After completing this course, you will have a solid foundation to learn professional languages like Python, Java, etc. The course is especially suitable for K12 teachers and students who want to get a gentle introduction to computer science.
Birla Institute of Technology & Science, Pilani
Discrete Mathematics for Computer Science and Engineering
Welcome to the Discrete Mathematics course, your gateway to mastering the mathematical foundations essential for modern computing and data science. Designed for aspiring software engineers, computer scientists, data analysts, and cryptographers, this course is ideal for undergraduate students, professionals looking to enhance their analytical skills, and anyone interested in the theoretical underpinnings of computer science. You'll dive into discrete mathematical structures crucial for data structures, algorithms, operating systems, and cryptography. Explore key topics such as sets, relations, functions, graphs, combinatorics, and formal mathematical proofs, equipping you with the logical reasoning and problem-solving skills needed for sophisticated computer science applications. Unlock your potential with structured learning techniques that enhance your analytical thinking. This course is perfect for those aiming to pursue careers in artificial intelligence, cybersecurity, software development, and data science. With engaging lectures and hands-on exercises, you'll master the principles of discrete mathematics and prepare yourself for advanced computing challenges. Gain the confidence to tackle complex mathematical concepts and apply them in practical scenarios, paving the way for a successful and fulfilling career in engineering, computer science, and data analysis.