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12 053 cours

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  • Autre
    Tous les niveaux

    Fundamentals of Dairy Nutrition: Forages and Feed

    This course provides a comprehensive exploration of the fundamental principles of dairy cattle nutrition. It offers a self-paced online learning environment where students can delve into the latest research, on-farm applications, and emerging trends in dairy nutrition. The course objectives include identifying and understanding the role of common feedstuffs in a typical dairy diet, understanding the basics of forage growth and its connection to dairy nutrition, comparing cereal grains and oilseed meals used in dairy diets, and understanding the nutritional value of byproducts from common feed processing techniques. Expert instructors and guest nutritionists will guide students through these topics, presenting and critically evaluating nutritional concepts and their practical applications. This course is part of the College of ACES suite of online programs, including the graduate certificate, "Dairy Nutrition for Udder Success" that can be stacked toward an advanced degree in the College of ACES. To learn more about online programs from the College of ACES and explore ways to apply your Coursera work toward a degree program at the University of Illinois, visit ACES Online at acesonline.illinois.edu.

    Langue d’origine

    600 min
    Voir les détails: Fundamentals of Dairy Nutrition: Forages and Feed
  • Technologie
    Intermédiaire

    Introduction to Parallel Programming with CUDA

    This course will help prepare students for developing code that can process large amounts of data in parallel on Graphics Processing Units (GPUs). It will learn on how to implement software that can solve complex problems with the leading consumer to enterprise-grade GPUs available using Nvidia CUDA. They will focus on the hardware and software capabilities, including the use of 100s to 1000s of threads and various forms of memory.

    Langue d’origine

    1800 min
    Voir les détails: Introduction to Parallel Programming with CUDA
  • Technologie
    Débutant

    Deploy a Website with Netlify

    This course provides a comprehensive guide on deploying web projects using Netlify. Whether you're looking for a step-by-step walkthrough or seeking specific deployment methods, this course offers flexible learning paths tailored to your needs. You'll gain hands-on experience deploying a range of projects—from simple JavaScript applications via drag-and-drop functionality to advanced continuous deployment setups for React and Next.js applications. By the end of this course, you'll be equipped with the skills and confidence to deploy your web projects seamlessly, ensuring they run efficiently and are easy to manage. Whether you're a beginner or an experienced developer, you'll walk away with valuable knowledge and best practices to accelerate your deployment process with Netlify.

    Langue d’origine

    Voir les détails: Deploy a Website with Netlify
  • Affaires
    Débutant

    Facebook Visuals: Enhance Photography & Design

    Learn how to create visually compelling content for Facebook that captures attention and boosts engagement. This course covers essential techniques in lighting, composition, and design, along with platform-specific best practices for photos, graphics, and Stories. With expert tips, a tutorial, and a hands-on activity, you’ll develop the skills to design content that stands out in the Facebook feed.

    Langue d’origine

    45 min
    Voir les détails: Facebook Visuals: Enhance Photography & Design
  • Technologie
    Débutant

    Google Cloud Customer Care Fundamentals - 简体中文

    本课程将介绍如何充分利用 Google Cloud 支持服务。您将了解 Google Cloud Customer Care 提供的不同支持服务、如何创建和管理支持请求、如何查看影响 Google Cloud 服务的已知问题,以及如何与支持工程师进行有效沟通。您还将学习不同的支持请求优先级和服务等级目标 (SLO)、如何进一步了解支持请求状态,以及如何在必要时上报支持请求。

    Langue d’origine

    Voir les détails: Google Cloud Customer Care Fundamentals - 简体中文
  • Affaires
    Débutant

    Market Research and Competitive Analysis

    Learn the art of market research and competitive analysis, essential skills for data-driven product decisions. Learn to gather and interpret market data, understand consumer motivations, and dissect the competitive landscape. Through SWOT analysis and the Jobs to be Done framework, you'll gain a strategic advantage by identifying opportunities and differentiating your product in the market. By the end of this course, you'll be able to: ● Collect and analyze market data ● Conduct thorough competitive analysis to gain insights into competitors' strategies. ● Complete a final project that demonstrates your ability to conduct market research and competitive analysis. This course is for entry-Level professionals looking to start a new career as a Product Manager in a related field such as Saas automation or gaming. Interested learners may be making a career switch, currently work in a related role and wish to transition into a Product Management role.

    Langue d’origine

    630 min
    Voir les détails: Market Research and Competitive Analysis
  • Technologie
    Intermédiaire

    Branching and Merging in Git

    Want to improve your workflow and collaborate like a professional? Git is more than simply a version control tool; it is the cornerstone for modern development. This intensive Git Branching and Merging course teaches important Git concepts in a practical, hands-on style. Follow real-world scenarios to see how branching strategies enable clean, collaborative coding. Unlike basic Git training, this course focuses on the essential and advanced actions you'll need: creating, switching, renaming, tracking, and deleting branches, as well as managing branch types such as Master, Feature, Release, Hotfix, and Development. You'll learn how to merge, rebase, and resolve conflicts in both command-line Git and popular IDEs such as IntelliJ and Eclipse. With demos, quizzes, and applied learning, you'll be able to handle local and remote repositories, revert changes, and keep a clean commit history. By the end, you will not only comprehend Git but also master it. Walk away with techniques that improve team performance and coding confidence.

    Langue d’origine

    Voir les détails: Branching and Merging in Git
  • Affaires
    Débutant

    Hire faster, hire smarter

    Learn how to define roles more clearly, create practical success profiles, write inclusive high-performing job posts, choose better channels, design smarter application funnels, and use simple metrics to improve results over time. Throughout the course, you will build a practical approach to attracting more qualified candidates without relying on guesswork, outdated job descriptions, or bloated hiring processes. What makes this course unique is its focus on the full inbound hiring system, not just one piece of it. Instead of treating hiring as a series of disconnected tasks, this course shows how role clarity, stakeholder alignment, job post writing, promotion strategy, screening design, and funnel analysis all work together. The approach is practical, manager-friendly, and built for real workplace constraints. Whether you are hiring for your own team or supporting hiring as a recruiter or HR partner, this course will help you reduce noise in the applicant pool, improve candidate quality, create a better candidate experience, and build a repeatable hiring process you can use again and again.

    Langue d’origine

    Voir les détails: Hire faster, hire smarter
  • Technologie
    Intermédiaire

    Microsoft Azure - PAAS Overview

    Unlock the full potential of cloud-native development with Microsoft Azure’s Platform as a Service (PaaS) in this hands-on course tailored for developers, IT professionals, and cloud enthusiasts. This course walks learners through the process of building, deploying, and scaling modern web and mobile applications using Azure’s powerful App Services, integrated development environments like Visual Studio, and robust backend solutions such as Azure Storage and Azure SQL Database. Through a combination of clear explanations and guided demos, learners will gain real-world expertise in provisioning cloud resources, automating deployments, managing backend services, and implementing secure, scalable architectures. Whether you're transitioning from traditional infrastructure or starting a new cloud-native project, this course equips you with the essential tools and best practices for leveraging Azure PaaS effectively. By the end of the course, learners will be capable of delivering full-featured applications on Azure’s managed platform with minimal operational overhead.

    Langue d’origine

    210 min
    Voir les détails: Microsoft Azure - PAAS Overview
  • Technologie
    Intermédiaire

    Preparing Text for AI Models

    The Preparing Text for AI Models course is designed for developers, engineers, and technical product builders who are new to Generative AI but already possess intermediate machine learning knowledge, basic Python proficiency, and familiarity with development environments such as VS Code, and who want to engineer, customize, and deploy open generative AI solutions while avoiding vendor lock-in. The course equips learners with practical skills in dataset sourcing, preprocessing, and formatting for training large language models. Starting with the discovery of text datasets from repositories like Hugging Face, Kaggle, and Common Crawl, learners evaluate quality, relevance, and licensing considerations. The course then covers preprocessing pipelines, including text cleaning, normalization, deduplication, and tokenization strategies, ensuring efficiency and compatibility with model training. Learners also design annotation schemas, apply semi-automated labeling techniques, and build validation workflows to maintain quality. The final module guides learners in constructing structured datasets for instruction tuning, fine-tuning, and benchmarking, supported by best practices in train-test splits and stratification. By the end of the course, learners will have created production-ready text datasets suitable for generative AI applications.

    Langue d’origine

    90 min
    Voir les détails: Preparing Text for AI Models
  • Technologie
    Tous les niveaux

    計算機程式設計 (Computer Programming)

    課程介紹 (About the course) This course will introduce computer programming in C. We will cover basic operations about computer, then move on to how to write computer program in a language called C. Various C concepts will be introduced. 授課形式 (Course format) We will have video lecture to introduce the concept of programming. The video will switch between the presentation slides and the actual coding process. After that we will have weekly programming homework to ensure that the students are able to practice what they learned from the video presentation. The students will practice on ideone.com, a web platform for compiling and running computer programs. 修課背景要求 (Recommended background) No special prior computer knowledge is required. However, the students are expected to be able to use a web browser, has basic English vocabulary, and arithmetic skills of junior high school graduates.

    Langue d’origine

    120 min
    Voir les détails: 計算機程式設計 (Computer Programming)
  • Technologie
    Débutant

    Limpieza de datos para el procesamiento de lenguaje natural

    Este curso te brindará los conocimientos necesarios para la extracción, limpieza y preparación de distintas fuentes de datos para ser incluidos en un proceso de NLP. Para realizar este curso es necesario contar con conocimientos de programación de nivel básico a medio, deseablemente conocimiento básico del lenguaje Python y es recomendable conocer el entorno de Jupyter Notebooks del entorno Anaconda. Para desarrollar aplicaciones se va a utilizar Python 3.6 o superior. Alternativamente se puede utilizar el entorno de Anaconda con la misma versión de Python. Como editor de código, los ejemplos van a ser editados en el Notebook de Anaconda, pero el alumno puede utilizar cualquier editor de texto que reconozca notebooks de Anaconda. Librerías que es necesario tener instaladas para realizar el curso: NLTK, Pandas, Scikit-learn y librerías de extracción de datos.

    Langue d’origine

    Voir les détails: Limpieza de datos para el procesamiento de lenguaje natural