The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Google Cloud
Securing and Integrating Components of your Application 日本語版
このコースでは、アプリケーション デベロッパー向けに、Google Cloud のマネージド サービスをシームレスに統合するクラウドネイティブ アプリケーションを設計、開発する方法を説明します。講義、デモ、ハンズオンラボを通して、メッセージング、イベント駆動型処理、API ゲートウェイを使ったセキュリティ性の高いアプリケーションの設計、フェデレーション ID 管理の実装、アプリケーション コンポーネントの統合方法を学習します。 各ラボのいずれかのバージョンを完了する必要があります。各ラボは Node.js で利用できるほか、ほとんどの場合、Python または Java でも提供されます。お好みの言語でラボを完了できます。 本コースは、「Developing Applications with Google Cloud」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、「App Deployment, Debugging, and Performance」コースに登録してください。
EDUCBA
Angular Fundamentals: Building Responsive Web Apps with Ease
This comprehensive course takes you through AngularJS, delving into foundational principles, including architecture, data binding, and essential features. You'll deepen your understanding of AngularJS architecture, empowering you to initiate critical application development. Exploring advanced concepts, you'll interpret adept implementation of routing, navigation, and form controls, showcasing proficiency in data binding. The course guarantees a thorough comprehension of Angular services, user authentication, and the execution of role-based access control. Delving into advanced Angular concepts, you'll construct modular components, implement effective state management, and ensure code reliability through testing and debugging practices. Additionally, the course emphasizes seamless Bootstrap integration into AngularJS and practical application in creating a MEAN stack project, showcasing your expertise in web development and design.
Johns Hopkins University
Principles of Management
Team leads, managers, and entrepreneurs must juggle team citizenship and leadership, ethics, strategy, and projects with their work in their area of expertise. While an individual contributor’s success may depend on their own direct input -- the sweat of their own brow – managers’ success depends on their ability to enlist the active involvement of others: direct reports, other managers, other team members, other department employees, and those above them on the organizational chart -- sometimes even their suppliers or customers! How do you form, launch, and manage a team such that it has the highest chance of success? How can you ensure your team’s work aligns with the organization’s strategy? What basic project management tools can you utilize right away, without purchasing special software, that will help your team meet its objectives on time, on budget, and to spec? Your success at work will depend on the level of trust your colleagues, those who report to you, and those to whom you report feel toward you – how can you build and maintain a high degree of trust? While AI can support you in managerial actions, it cannot replace you. While AI is advanced enough to coach teams or address performance issues, it lacks the intrinsic connection to the organization that a human manager possesses. An employee who perceives themselves as working for “Company X's AI” will not feel the same level of loyalty or commitment as they would to YOU. Since AI, both literally and figuratively, cannot embody an organization or a manager, managers and leaders who delegate important communication and oversight responsibilities to AI inherit this fundamental limitation. This course will help you succeed in your career.
Banco Interamericano de Desarrollo
Gestión con enfoque en riesgos en proyectos de desarrollo
¿Sabías que cada decisión que tomamos en nuestras acciones diarias implica riesgos? Hasta el mejor de los proyectos está expuesto a imprevistos por lo que aprender a gestionar riesgos es importante para maximizar las oportunidades y reducir las amenazas. Este curso te brindará los conocimientos fundamentales para aprender a gestionar anticipadamente los eventos positivos y negativos que pueden afectar la ejecución de un proyecto de desarrollo. A través de un caso de estudio, podrás aplicar las buenas prácticas de gestión de riesgos en un proyecto y realizarás ejercicios que te ayudarán a comprender conceptos y herramientas clave. Este MOOC forma parte de la Especialización en diseño y gestión de proyectos de desarrollo que recoge el conocimiento y experiencia del BID en sus más de 60 años trabajando por mejorar la calidad de vida en América Latina y el Caribe, así como de buenas prácticas internacionales para la gestión de proyectos. Se compone de los siguientes cursos: - Diseño de proyectos de desarrollo - Herramientas de gestión de proyectos de desarrollo - Gestión con enfoque en riesgos en proyectos de desarrollo
Politecnico di Milano
Tools and Practices for Addressing Pandemic Challenges
An overview of the tools, techniques, and practices that can be enacted by policy makers, countries, and organizations to monitor, manage, and react to pandemics and mitigate and govern their impacts. An introductory, multidisciplinary course covering data science, social science, healthcare, and management, paving the way to various courses on specific matters. This course is part of the research project 'Pan-European Response to the Impacts of the COVID-19 and future Pandemics and Epidemics' (PERISCOPE, https://www.periscopeproject.eu/). Funded by the European Commission Research Funding programme Horizon 2020 under the Grant Agreement number 101016233, PERISCOPE investigates the broad socio-economic and behavioural impacts of the COVID-19 pandemic, to make Europe more resilient and prepared for future large-scale risks.
Automatic Data Processing, Inc. (ADP)
Understanding Diversity & Inclusion
This course is for talent acquisition professionals who want to incorporate DE&I principles into their hiring process. Diversity and Inclusion can be followed throughout an organization, and together can impact business outcomes. This course is designed to help hiring managers understand how to assist in driving the Diversity and Inclusion values of an organization through education, awareness, advocacy, and best practices. By the end of this course, you will be able to evaluate the importance of diversity in creating effective teams and enhancing innovation, as well as in attracting and retaining qualified candidates in a competitive global marketplace. You will be able to explain the benefits of diversity and inclusion in the workplace, including expanded critical thinking, increased innovation, improved customer understanding and empathy, and enhanced ability to attract and retain highly qualified candidates. You’ll learn about companies that have taken bold action to foster diversity, equity, and inclusion, and much more! To be successful in this course, you should have at least 2 years of work experience.
University of Virginia
Coding User Interfaces with AI
The secret is out: AI is changing everything about the way we work. Few things have changed more than the way we go from idea to code. If you’re an MBA or a generalist of any sort, all this is very much working in your favor. While coding well is a lifelong pursuit like any other, getting started is now a lot easier. This course will get you started with a product-first coding process that will both help you build great products yourself using AI as well as make yourself a better collaborator to your engineering-focused colleagues. In this first course, we’re going to focus on going from design to code for ‘Views’ or user interfaces (UI’s). We’ll code in HTML & CSS, but mostly we’ll be focused on the underlying design and engineering principles for building user interfaces. This course was developed at the Darden School of Business at the University of Virginia and is taught by top-ranked faculty.
Google Cloud
Google Cloud 上の Gemini 1.0 Pro とアプリケーションの統合
Google Cloud 上の Gemini 1.0 Pro モデルとアプリケーションの統合に関する短いコースです。ここでは、Gemini API とその生成 AI モデルについて学習し、Gemini 1.0 Pro モデルと Gemini 1.0 Pro Vision モデルにコードからアクセスする方法を学びます。これらのモデルの機能は、アプリからのテキスト、画像、動画のプロンプトを使用してテストできます。
École Polytechnique Fédérale de Lausanne
Parallel programming (Scala 2 version)
With every smartphone and computer now boasting multiple processors, the use of functional ideas to facilitate parallel programming is becoming increasingly widespread. In this course, you'll learn the fundamentals of parallel programming, from task parallelism to data parallelism. In particular, you'll see how many familiar ideas from functional programming map perfectly to to the data parallel paradigm. We'll start the nuts and bolts how to effectively parallelize familiar collections operations, and we'll build up to parallel collections, a production-ready data parallel collections library available in the Scala standard library. Throughout, we'll apply these concepts through several hands-on examples that analyze real-world data, such as popular algorithms like k-means clustering. Learning Outcomes. By the end of this course you will be able to: - reason about task and data parallel programs, - express common algorithms in a functional style and solve them in parallel, - competently microbenchmark parallel code, - write programs that effectively use parallel collections to achieve performance Recommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity using the command line. This course is intended to be taken after Functional Program Design in Scala: https://www.coursera.org/learn/progfun2.
Google Cloud
Machine Learning Operations (MLOps): Getting Started - 한국어
이 과정에서는 Google Cloud에서 프로덕션 ML 시스템 배포, 평가, 모니터링, 운영을 위한 MLOps 도구와 권장사항을 소개합니다. MLOps는 프로덕션에서 ML 시스템을 배포, 테스트, 모니터링, 자동화하는 방법론입니다. 머신러닝 엔지니어링 전문가들은 배포된 모델의 지속적인 개선과 평가를 위해 도구를 사용합니다. 이들이 협력하거나 때론 그 역할을 하는 데이터 과학자는 고성능 모델을 빠르고 정밀하게 배포할 수 있도록 모델을 개발합니다.
Pragmatic AI Labs
GitHub: Codespaces, Actions, and Ecosystem Tools
Learn to build cloud-based development environments with GitHub Codespaces, run GPU-accelerated AI workloads, use GitHub Copilot for AI-assisted coding, and automate CI/CD pipelines with GitHub Actions. This hands-on course walks you through launching Codespaces from repository templates, configuring dev containers for different machine types, and running NVIDIA GPU instances for machine learning tasks. You will use Whisper for speech-to-text transcription on GPU-enabled Codespaces and explore Hugging Face for model hosting, datasets, and fine-tuning pre-trained models. The course demonstrates GitHub Copilot and Copilot Labs for code suggestions, code translation, and conversational development via Copilot Chat. You will also build GitHub Actions workflows using YAML configuration files to automate testing and deployment on Ubuntu containers. By the end, you will integrate Codespaces, Copilot, and Actions into a unified end-to-end development workflow. Each lesson includes live demonstrations inside real GitHub repositories, giving you practical experience with the tools used in professional software teams.
Coursera
Charts, Pictures, Themes, and Styles in Microsoft Excel
By the end of this project, you will create a free account on Microsoft 365, get access to Microsoft Excel, and will create a workbook with charts, pictures, themes, and styles. Your new skills will help you manage information in Microsoft Excel in the most efficient way.
Google Cloud
Optimizing Your Google Cloud Costs em Português
"Optimizing Your Google Cloud Platform (GCP) Costs" é o segundo curso de uma série de duas partes sobre os principais fundamentos de faturamento e gerenciamento de custos do GCP. Ele é ideal para quem atua na área de tecnologia e/ou finanças e é responsável por otimizar a infraestrutura em nuvem da organização. Você aprenderá várias maneiras de controlar e otimizar os custos do GCP, como configurar orçamentos e alertas, gerenciar limites de cota e aproveitar descontos por uso contínuo. Nos laboratórios práticos, você usará várias ferramentas para controlar e otimizar seus custos do GCP ou influenciar as equipes do setor de tecnologia a aplicar as práticas recomendadas de otimização de custos.
IBM
Data Visualization with R
In this course, you will learn the Grammar of Graphics, a system for describing and building graphs, and how the ggplot2 data visualization package for R applies this concept to basic bar charts, histograms, pie charts, scatter plots, line plots, and box plots. You will also learn how to further customize your charts and plots using themes and other techniques. You will then learn how to use another data visualization package for R called Leaflet to create map plots, a unique way to plot data based on geolocation data. Finally, you will be introduced to creating interactive dashboards using the R Shiny package. You will learn how to create and customize Shiny apps, alter the appearance of the apps by adding HTML and image components, and deploy your interactive data apps on the web. You will practice what you learn and build hands-on experience by completing labs in each module and a final project at the end of the course. Watch the videos, work through the labs, and watch your data science skill grow. Good luck! NOTE: This course requires knowledge of working with R and data. If you do not have these skills, it is highly recommended that you first take the Introduction to R Programming for Data Science as well as the Data Analysis with R courses from IBM prior to starting this course. Note: The pre-requisite for this course is basic R programming skills.
Edureka
Applied Agentic AI Pipelines with LangChain
This program explores advanced techniques for designing intelligent agent pipelines using LangChain, equipping developers and AI enthusiasts with the skills to build scalable, reliable, and efficient AI systems. You’ll start by mastering LangChain’s core functionalities, including advanced workflow engineering, output correction, and data transformation for agent systems. Next, you’ll dive into intelligent tooling, learning how to implement multi-step reasoning, ReAct-driven workflows, and complex tool orchestration. You’ll also explore cutting-edge retrieval techniques, multi-query reasoning, and adaptive memory architectures, building systems capable of handling dynamic, real-time data across multiple steps. By the end of this program, you will be able to: -Define the foundational concepts of LangChain and its role in intelligent agent design. -Master LangChain runnables, data transformations, and advanced error handling techniques. -Implement intelligent tool routing and multi-hop reasoning using ReAct workflows. -Build robust multi-query retrieval systems with adaptive memory and composite retrieval strategies. -Optimize knowledge query pipelines with self-correcting features for more accurate insights. -Design scalable, stateful agent systems with persistent memory and vector routing. This program is designed for developers and AI practitioners interested in building powerful agent-driven applications using LangChain. A background in Python, machine learning, and basic AI concepts will enhance your learning experience. Learners require a reliable internet connection, a modern web browser, and access to LangChain documentation and tools. No specialized hardware or software installation is necessary. Join us to explore the cutting-edge of intelligent agent design with LangChain, and gain the expertise needed to build the next generation of AI systems.
Packt
Excel Fundamentals for Healthcare
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. Unlock the power of Excel in the healthcare industry with this comprehensive course that equips you with essential skills for managing healthcare data. Whether you're handling patient records, analyzing prescriptions, or managing healthcare projects, this course will provide the tools to help you work more efficiently and accurately. Learn key Excel functions and techniques that can transform complex data into actionable insights, enabling you to optimize decision-making in a healthcare setting. The course starts by covering the basics of Excel, including formatting, formulas, and rounding, which are crucial for anyone working with healthcare data. You'll also dive into specialized functions such as drop-down menus, pivot tables, and data filters, which will make your data easier to manage and more insightful. As the course progresses, you’ll apply your skills to real-world healthcare scenarios, such as analyzing prescriptions and creating project management tools. Throughout the course, you'll engage with interactive exercises and examples that apply directly to healthcare data, ensuring that each concept is both relevant and practical. The course is designed for healthcare professionals and others working in the field who need to leverage Excel to improve data handling and decision-making in their work. By the end of the course, you will be able to create advanced Excel tools tailored to healthcare data, including pivot tables, complex formulas, and project management tools. You will also gain the ability to clean and analyze healthcare data to reveal meaningful trends and insights.