The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Coursera
Lier des comptes Facebook Ads à Facebook Business Manager
Dans ce projet guidé d'une heure, vous apprendrez à connaissez ce qu'est Business Manager et comment créer un nouveau compte. Nous avons appris comment ajouter des comptes publicitaires dans Business Manager. Nous avons appris comment ajouter des personnes à notre compte publicitaire. puis nous apprenons quelles sont les conditions les plus importantes pour ajouter des personnnes à un compte pubicitaire. Nous avons appris comment ajouter une page à Business Manager, nous sommes arrivés à connaître les recommandations les plus importantes concernant les autorisations pour les comptes publicitaires. À la fin de ce projet, vous allez être capable à lier des comptes Facebook Ads à Facebook Business Manager.
Google Cloud
Introduction to Image Generation - 日本語版
このコースでは拡散モデルについて説明します。拡散モデルは ML モデル ファミリーの一つで、最近、画像生成分野での有望性が示されました。拡散モデルは物理学、特に熱力学からインスピレーションを得ています。ここ数年、拡散モデルは研究と産業界の両方で広まりました。拡散モデルは、Google Cloud の最先端の画像生成モデルやツールの多くを支える技術です。このコースでは、拡散モデルの背景にある理論と、モデルを Vertex AI でトレーニングしてデプロイする方法について説明します。
LearnQuest
Foundations of Digital Social Selling
Gain a comprehensive understanding of the digital social selling landscape and its evolving best practices. This course equips you to transition from traditional to digital-first selling by building robust audience personas, identifying high-potential segments, and establishing a professional social presence. Through hands-on, actionable lessons, you'll learn to generate targeted leads, build trust authentically, and unlock the power of storytelling and personalized outreach. Special focus is given to adapting strategies for regional and cultural relevance in India, the U.S., and Spanish-speaking communities. Expect to master practical workflows and become a resourceful, credible, and successful social seller.
Northwestern University
현대 로봇공학, 강좌 4: 로봇 동작 계획 및 제어
로봇이 어떻게 작동하는지 궁금하신가요? 로봇공학 커리어에 관심이 있으신가요? 로봇공학의 모든 하위 분야에서 사용되는 기초적인 수학적 모델링 기법을 열심히 학습할 준비가 되셨나요? 그렇다면, ‘현대 로봇공학: 역학, 계획 및 제어(Modern Robotics: Mechanics, Planning, and Control)’ 전문 과정이 여러분에게 안성맞춤일 수 있습니다. 이 전문 과정은 여섯 개의 짧은 강의로 이루어져 있으며, 로봇공학 분야에서 근무하기를 진지하게 희망하거나 심화 연구를 진행하려는 학생들에게 적합합니다. 단순한 기초 모음집이 아닙니다. 이 전문 과정의 강좌 4 ‘로봇 동작 계획 및 제어’에서는, 단순 맛보기가 아니라 로봇 운동 생성의 핵심 개념들을 배우게 될 겁니다.장애물이 있는 환경에서 로봇의 운동을 계획하고, 실시간으로 피드백을 제어하여 계획한 운동을 추적하는 것이죠. ‘현대 로봇공학’ 교과서의 챕터 10 ‘운동 계획’은 배위 공간, 그래프와 트리, 그래프 서치 등 기본적인 내용을 다룹니다. 그리고 그리드 기반의 운동 계획, 무작위 샘플링 기반 설계자, 가상 퍼텐셜 장 등 고전적 방식과 현대적 방식을 아우르는 운동 계획 기법들 역시 다룹니다. 챕터 11 ‘로봇 제어’는 운동 제어, 힘 제어, 하이브리드 운동-힘 제어를 다룹니다. 이 강좌는 교과서 ‘Modern Robotics: Mechanics, Planning, and Control’(Lynch 및 Park, Cambridge University Press 2017)에 따라 제작되었습니다. 이 책을 구매하시거나 무료 pdf 견본을 사용하실 수 있습니다. 여러분이 원하는 언어(Python, Mathematica, 및 MATLAB)를 선택하여 로봇공학 소프트웨어의 라이브러리를 구축하실 수 있습니다. 또한 무료 크로스 플랫폼 로봇 시뮬레이터 V-REP를 사용해서 최첨단 로봇공학 작업을 집에서도 편하게 무료로 수행하실 수 있습니다.
Coursera
Clean, Analyze, and Visualize Your Data
"Clean, Analyze, and Visualize Your Data" is an intermediate course designed for aspiring AI and data professionals who understand that world-class models are built on high-quality data. In this course, you will move beyond theory and gain hands-on experience in the essential, practical skills of data preparation and exploration. You will learn to implement systematic data cleaning and validation routines using industry-standard tools like Pandera to ensure your datasets are reliable and ready for processing. Through guided labs in a Jupyter environment, you will master statistical visualization and dimensionality reduction techniques, such as t-SNE, to transform complex, high-dimensional data into clear, interpretable plots. These visualizations will empower you to uncover hidden patterns, identify anomalies, and diagnose issues—like misrouted data clusters—that could impact model accuracy. By the end of this course, you will not just know how to clean data, but you will understand how to analyze and visualize it to derive insights, ensuring your AI development is built on a solid, well-understood foundation.
Universidad Austral
Red de sentidos: Arte, educación y procesos creativos
El arte puede ser una poderosa plataforma de producción de sentido para el desarrollo de múltiples habilidades de pensamiento, así como para abordar el conocimiento del mundo. Este curso está diseñado para colaborar con la construcción de una práctica educativa interdisciplinaria e innovadora que permita a los docentes enseñar las distintas materias curriculares a través del arte como eje transversal. A partir del abordaje de metodologías, estrategias y recursos asociados con el arte moderno y contemporáneo, esta propuesta te permitirá diseñar tus planificaciones de manera creativa, con especial atención a los vínculos entre el diseño curricular y el conocimiento y la experiencia cotidiana de los estudiantes. Además, el curso presenta a diversos artistas contemporáneos para conocer y profundizar en torno a sus ideas y procesos creativos, así como ampliar el universo de referencias asociadas al concepto de arte y de las prácticas artísticas contemporáneas, que fomentarán nuevas conexiones entre el arte y la educación a la hora de diseñar tu proyecto educativo.
KodeKloud
Deploy ML Models to Production
This comprehensive course is designed for aspiring MLOps engineers and data scientists looking to bridge the gap between experimental notebooks and robust production environments. You will begin by establishing a strong foundation in model development, exploring the hardware essentials of CPUs and GPUs, and mastering hyperparameter tuning. The curriculum moves rapidly into industrial-grade experimentation using MLflow, where you will learn to track parameters, manage model artifacts, and control versioning through hands-on labs. The second half of the course focuses on real-world application through a specialized project: building a deployment pipeline for an Insurance Claim application. You will gain practical experience generating synthetic data, setting up dedicated MLflow servers, and utilizing BentoML for high-performance model serving. By upgrading a standard Flask application to interact with a professional serving infrastructure, you will master the art of online model delivery. This course ensures you leave with the technical confidence to register, deploy, and manage machine learning models in a live operational setting.
Coursera
Pitch with Impact
Sales presentations often fail not because the idea is weak, but because the message is visually unclear or poorly delivered. In high-stakes, time-constrained sales environments, how information is structured directly affects attention, credibility, and perceived value. This course helps professionals design and deliver sales pitches that persuade by guiding audience focus and reducing cognitive load through clear visual hierarchy. By the end of this course, learners will be able to: • Explain how visual hierarchy principles—contrast, alignment, and repetition—shape audience attention and value perception in sales presentations. • Apply visual hierarchy principles to improve the structure and focus of pitch slides. • Deliver a concise 3-slide sales mini-pitch demonstrating clarity, structure, and confident delivery. Learners should have experience presenting ideas or products in a professional or sales context. Building on that foundation, the course emphasizes hands-on practice through slide redesign exercises and structured peer feedback. Learners create focused, visually persuasive slides and deliver a clear mini-pitch that communicates a problem, value proposition, and next step.
Coursera
Analyze Healthcare Data for Patient Outcomes
Healthcare-associated infections cost the U.S. healthcare system billions annually – but data-driven monitoring can dramatically reduce these preventable outcomes. This Short Course was created to help healthcare data analysts accomplish systematic monitoring and analysis of patient outcome trends. By completing this course, you'll be able to detect infection rate spikes before they become outbreaks, create compelling data summaries for quality improvement teams, and establish evidence-based baselines for monitoring key performance indicators that directly impact patient safety. By the end of this course, you will be able to: - Analyze month-over-month infection-rate trends to identify abnormal spikes - Apply measures of central tendency and dispersion to summarize dataset variables This course is unique because it combines time-series analysis with foundational statistics specifically for healthcare quality monitoring, using real infection control scenarios. To be successful in this project, you should have a background in basic Excel functions and healthcare terminology. Transform your ability to turn raw healthcare data into actionable insights that protect patients and improve outcomes.
L&T EduTech
Microcontroller and Industrial Applications
Today, there exists a changing paradigm for every organization towards Digital Transformation in alignment with rapid growth of Industrial Automation. As automation impacts the business-returns directly, every organization, be it Designing, Manufacturing, Assembling or Logistics sector, sincerely is getting transformed as Digital Industries. One of the key elements underneath this transformation is, the evaluation of multi-featured, high speed, tiny microcontrollers. The global Microcontroller market estimate is with 7.6% CAGR during 2021-2023.This in turn is creating a large job space for Engineering community in the next decade in Digital Transformation domain. The major objective of this course is to equip learners towards such job space of Engineers. Thus, this course on ‘Microcontrollers and Industrial Applications’ has been designed with a clear vision and roadmap with fundamentals of Microcontrollers, methodologies for Designing microcontrollers, exploratory skill in Application-specific embedded boards and real time industrial applications. The concepts of the course are weaved with perfect demonstrations through digital platform along with use cases, which provide complete learner engagement. The course also provides an experiential knowledge and skill about embedded development boards and Integrated Development Environment (IDE) tool. The learners will be guided with a multi-purpose development boards which are preferred in Industrial applications. The pedagogy followed in the course is making learners to get a good insight about the demos and their creativity will be kindled. The in-course discussion prompt of the course, promote the learner to develop creative embedded solution for real-world applications.
Rice University
Medical Terminology III
This final course finishes the comprehensive examination of medical terminology by introducing new roots, terms, and abbreviations related to the remaining body systems: nervous (brain, spinal cord, and nerves) and special senses (eyes and ears), digestive, and reproductive.
Kennesaw State University
The Improve Phase for the 6 σ Black Belt
This course is designed for professionals interested in learning the principles of Lean Sigma, the DMAIC process and DFSS. This course is number 6 of 8 in this specialization dealing with topics in the Improve Phase of Six Sigma Professionals with some completed coursework in statistics and a desire to drive continuous improvement within their organizations would find this course and the others in this specialization appealing. Method of assessment consists of several formative and summative quizzes and a multi-part peer reviewed project completion regiment.
Google
Listening and Engagement on Social Media
In this course, you will focus on listening and engagement in the context of social media marketing. You’ll learn the importance of social listening and how to use popular social listening tools. Then, you’ll explore ways to develop relationships with customers and build brand authority. By the end of this course, you will be able to: - Define social listening and discuss why it’s important - Introduce popular social listening tools and how to use them - Provide tips for effective social listening - Understand how to boost engagement on social media - Discuss how to communicate and develop relationships with customers - Discuss how to respond to different types of customer communication on social media - Understand how to write, design, and repurpose engaging content for social media - Describe how to develop a brand voice on social media
Scrimba
Build a Support Agent with Vercel AI SDK
This course shows you how to build a real customer support AI agent, from retrieval to reasoning to reliable responses. Whether you’re integrating AI into an existing product or launching your first agent, you’ll learn a practical, modern stack that’s fast to build, easy to extend, and ready for production. What is the Vercel AI SDK? Vercel AI SDK is a TypeScript-first toolkit for building AI features. It streamlines text generation, embeddings, and structured outputs. It plays nicely with tools, so your agent can call functions including “search the web” or “query my knowledge base” safely and predictably. In this course, you’ll ship a customer support agent that: - Embeds support docs into a Supabase vector store. - Uses retrieval and web search as tools, selected on-the-fly based on the user’s question. - Classifies intents with structured outputs (via generateObject + Zod). - Answers questions with grounded, trustworthy responses—pulling from your docs when relevant or searching the web in real time when needed.
Whizlabs
Microsoft Fabric: Monitor and Optimize an Analytics Solution
Welcome to Microsoft Fabric: Monitor and Optimize Analytics Solutions, an advanced and hands-on course designed for data professionals who want to master monitoring, performance tuning, and troubleshooting within Microsoft Fabric’s unified analytics platform. This course teaches you how to ensure that Fabric workloads remain reliable, performant, and optimized for enterprise-scale analytics. This advanced course is designed for data engineers and analytics professionals who want to master performance optimization, monitoring, and troubleshooting within Microsoft Fabric. Throughout the course, you’ll explore how to design scalable semantic models, optimize enterprise-scale workloads, diagnose ingestion and transformation issues, and accelerate performance for lakehouses, Spark environments, event streams, and data warehouses. With 3+ hours of focused video content, the course blends conceptual understanding with real-world demonstrations inside Fabric. You will learn how to tune DAX, improve query performance, optimize pipelines, resolve Eventstream/Eventhouse errors, and manage large-scale data storage. Each module includes interactive quizzes and in-video checkpoints to reinforce learning. Enroll in Microsoft Fabric: Optimize, Monitor, and Troubleshoot Data Solutions to gain the skills needed to improve system reliability, maximize performance efficiency, and support enterprise-grade data workloads in Microsoft Fabric. Course Modules Module 1: Data Modeling and Optimization in Microsoft Fabric: Module 2: Monitoring, Optimization, and Troubleshooting in Microsoft Fabric Module 3: Data Engineering and Performance Optimization in Microsoft Fabric Recommended Background A basic understanding of Microsoft Fabric components such as Lakehouses, Warehouses, Pipelines, and Eventstreams. Familiarity with core data engineering concepts - data ingestion, transformation, modeling, and analytics workflows. Working knowledge of SQL or experience with Power BI; exposure to DAX or PySpark is helpful but not required. Foundational experience with cloud-based analytics platforms like Azure, Databricks, or Snowflake (optional but beneficial). Awareness of analytics workloads including dashboards, lakehouses, warehouses, and real-time streaming architectures. Interest in performance tuning, monitoring, and optimization of large-scale data workloads in modern analytics environments. By the End of This Course, You Will Be Able To: Monitor and troubleshoot data ingestion, transformation, and semantic models using Microsoft Fabric monitoring tools, alerts, and diagnostic views. Optimize performance for pipelines, notebooks, SQL endpoints, Eventstreams, Spark workloads, and semantic models across Fabric’s unified analytics engine. Identify, analyze, and resolve Fabric errors including T-SQL, Eventhouse, pipeline, and Dataflow errors using built-in debugging capabilities. Enhance enterprise-scale performance with best practices for query tuning, caching, incremental refresh, storage modes, and data optimization techniques. Operationalize and govern analytics solutions through proactive monitoring, alerting, and continuous performance improvement. Who Should Take This Course? This course is ideal for: Data Engineers working with performance-critical analytics workloads Fabric & Power BI Developers managing enterprise semantic models Data Architects & BI Engineers responsible for optimization at scale Analytics Administrators monitoring and maintaining Fabric environments Professionals preparing for Microsoft Fabric Associate or Expert certifications
University of Illinois Urbana-Champaign
Pattern Discovery in Data Mining
Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for data-driven phrase mining and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.