{"id":2514,"date":"2026-08-10T08:56:59","date_gmt":"2026-08-10T08:56:59","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-ai-application-boost-with-nvidia-rapids-acceleration-2024-1\/"},"modified":"2026-08-10T08:56:59","modified_gmt":"2026-08-10T08:56:59","slug":"udemy-ai-application-boost-with-nvidia-rapids-acceleration-2024-1","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-ai-application-boost-with-nvidia-rapids-acceleration-2024-1\/","title":{"rendered":"Udemy \u2013 AI Application Boost with NVIDIA RAPIDS Acceleration 2024-1"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2><span style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p><span style=\"vertical-align: inherit\">AI Application Boost with NVIDIA RAPIDS Acceleration course. Data science and machine learning represent the largest computing sectors in the world, where small improvements in the accuracy of analytical models can translate into billions of impacts on the bottom line. Data scientists are constantly working to train, evaluate, iterate, and optimize models to achieve highly accurate results and exceptional performance. With NVIDIA\u2019s powerful RAPIDS platform, what used to take days can now be done in minutes, making it easier and more agile to build and deploy valuable models. In data science, additional computing power means faster and more effective insights. RAPIDS leverages the power of NVIDIA CUDA to accelerate the entire data science model training workflow and executes it on graphics processing units (GPUs). In this course, you\u2019ll learn everything you need to take your machine learning programs to the next level! Check out some of the topics that will be covered below:<\/span><\/p>\n<div data-purpose=\"safely-set-inner-html:description:description\">\n<ul>\n<li><span style=\"vertical-align: inherit\">Using cuDF, cuPy and cuML libraries instead of Pandas, Numpy and scikit-learn. Ensuring data processing and running high-performance machine learning algorithms on the GPU.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Performance comparison of classical Python libraries with RAPIDS. In some tests conducted during classes, we achieved acceleration rates of over 900x. This shows that with special databases and algorithms, RAPIDS can be 900 times faster!<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Create a complete, step-by-step machine learning project using RAPIDS, from data loading to prediction.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Using DASK to parallelize work on multiple GPUs or CPUs. Integrated with RAPIDS for superior performance.<\/span><\/li>\n<\/ul>\n<p><span style=\"vertical-align: inherit\">During the course, we will use Python programming language and Google Colab online. That way, you don\u2019t need to have a local GPU to keep track of the classes, as we\u2019ll be using free hardware provided by Google.<\/span><\/p>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">What you will learn in AI Application Boost with NVIDIA RAPIDS Acceleration course<\/span><\/h3>\n<div class=\"what-you-will-learn--content-spacing--6eP1j\">\n<ul class=\"ud-unstyled-list ud-block-list what-you-will-learn--objectives-list--qsvE2 what-you-will-learn--objectives-list-two-column-layout--ED4as\">\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Understand the difference between processing data using CPU and GPU<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Use cuDF as an alternative to pandas for GPU-accelerated processing<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Implement code using cuDF to manipulate DataFrames<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Use cuPy as an alternative to numpy for GPU-accelerated processing<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Use cuML as an alternative to scikit-learn for GPU-accelerated processing<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Run a complete machine learning project using cuDF and cuML<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Performance comparison of classic Python libraries running on the CPU with RAPIDS libraries running on the GPU.<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Running projects with DASK for parallel and distributed processing<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<li>\n<div class=\"ud-block-list-item ud-block-list-item-small ud-block-list-item-tight ud-block-list-item-neutral ud-text-sm\" data-purpose=\"objective\">\n<div class=\"ud-block-list-item-content\"><span class=\"what-you-will-learn--objective-item--VZFww\"><span style=\"vertical-align: inherit\">Integrate DASK with cuDF and cuML for GPU performance<\/span><\/span><\/div>\n<\/div>\n<\/li>\n<\/ul>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">This course is suitable for people who<\/span><\/h3>\n<ul class=\"styles--audience__list----YbP\">\n<li><span style=\"vertical-align: inherit\">Data scientists and AI professionals are looking to improve the performance of their applications<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Professionals currently working or aspiring to work in data science, especially those looking to improve their skills in training machine learning models and data analysis.<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Anyone interested in learning about machine learning, especially with a focus on high-performance implementations using GPUs<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Professionals involved in the development and implementation of machine learning models<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Undergraduate and graduate students studying topics related to artificial intelligence<\/span><\/li>\n<\/ul>\n<h3><span style=\"vertical-align: inherit\">Course specifications AI Application Boost with NVIDIA RAPIDS Acceleration<\/span><\/h3>\n<ul>\n<li><span style=\"vertical-align: inherit\">Publisher:&nbsp; <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.udemy.com\/course\/ai-application-boost-with-nvidia-rapids-acceleration\/?couponCode=LETSLEARNNOWPP\" target=\"_blank\"><span style=\"vertical-align: inherit\">Udemy<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Lecturer: <\/span><a href=\"https:\/\/downloadlynet.ir\/tag\/jones-granatyr\/\"><span style=\"vertical-align: inherit\">Jones Granatyr<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Training level: beginner to advanced<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Training duration: 6 hours and 21 minutes<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Number of courses: 46<\/span><\/li>\n<\/ul>\n<h3><span style=\"vertical-align: inherit\">Headlines of the course on 2\/2024<\/span><\/h3>\n<h2>&nbsp;<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-892299 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/03\/AI-Application-Boost-with-NVIDIA-RAPIDS-Acceleration-1.jpg\" alt=\"AI Application Boost with NVIDIA RAPIDS Acceleration\" width=\"805\" height=\"407\"><\/h2>\n<h3><span style=\"vertical-align: inherit\">AI Application Boost with NVIDIA RAPIDS Acceleration course prerequisites<\/span><\/h3>\n<ul>\n<li dir=\"ltr\" style=\"text-align: left\">Programming logic<\/li>\n<li dir=\"ltr\" style=\"text-align: left\">Basic Python programming<\/li>\n<li dir=\"ltr\" style=\"text-align: left\">Machine learning: basic understanding of the algorithm training process, as well as classification and regression techniques<\/li>\n<\/ul>\n<h3><span style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<h2><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-892298 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2024\/03\/AI-Application-Boost-with-NVIDIA-RAPIDS-Acceleration.jpg\" alt=\"AI Application Boost with NVIDIA RAPIDS Acceleration\" width=\"826\" height=\"323\"><\/h2>\n<h3><span style=\"vertical-align: inherit\">Sample video of the course<\/span><\/h3>\n<div style=\"width: 640px;\" class=\"wp-video\"><span class=\"mejs-offscreen\">Video Player<\/span><\/p>\n<div id=\"mep_0\" class=\"mejs-container mejs-container-keyboard-inactive wp-video-shortcode mejs-video\" tabindex=\"0\" role=\"application\" aria-label=\"Video Player\" style=\"width: 640px; height: 360px; min-width: 217px;\">\n<div class=\"mejs-inner\">\n<div class=\"mejs-mediaelement\"><mediaelementwrapper id=\"video-121243-1\"><video class=\"wp-video-shortcode\" id=\"video-121243-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/AI_Application_Boost_with_NVIDIA_RAPIDS_Acceleration_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/AI_Application_Boost_with_NVIDIA_RAPIDS_Acceleration_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/AI_Application_Boost_with_NVIDIA_RAPIDS_Acceleration_Downloadly.ir.mp4?nocache=1786095595901\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/AI_Application_Boost_with_NVIDIA_RAPIDS_Acceleration_Downloadly.ir.mp4<\/a><\/video><\/mediaelementwrapper><\/div>\n<div class=\"mejs-layers\">\n<div class=\"mejs-poster mejs-layer\" style=\"display: none; width: 100%; height: 100%;\"><\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-loading\"><span class=\"mejs-overlay-loading-bg-img\"><\/span><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer\" style=\"display: none; width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-error\"><\/div>\n<\/div>\n<div class=\"mejs-overlay mejs-layer mejs-overlay-play\" style=\"width: 100%; height: 100%;\">\n<div class=\"mejs-overlay-button\" role=\"button\" tabindex=\"0\" aria-label=\"Play\" aria-pressed=\"false\"><\/div>\n<\/div>\n<\/div>\n<div class=\"mejs-controls\">\n<div class=\"mejs-button mejs-playpause-button mejs-play\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Play\" aria-label=\"Play\" tabindex=\"0\"><\/button><\/div>\n<div class=\"mejs-time mejs-currenttime-container\" role=\"timer\" aria-live=\"off\"><span class=\"mejs-currenttime\">00:00<\/span><\/div>\n<div class=\"mejs-time-rail\"><span class=\"mejs-time-total mejs-time-slider\" role=\"slider\" tabindex=\"0\" aria-label=\"Time Slider\" aria-valuemin=\"0\" aria-valuemax=\"0\" aria-valuenow=\"0\" aria-valuetext=\"00:00\"><span class=\"mejs-time-buffering\" style=\"display: none;\"><\/span><span class=\"mejs-time-loaded\"><\/span><span class=\"mejs-time-current\"><\/span><span class=\"mejs-time-hovered no-hover\"><\/span><span class=\"mejs-time-handle\"><span class=\"mejs-time-handle-content\"><\/span><\/span><span class=\"mejs-time-float\"><span class=\"mejs-time-float-current\">00:00<\/span><span class=\"mejs-time-float-corner\"><\/span><\/span><\/span><\/div>\n<div class=\"mejs-time mejs-duration-container\"><span class=\"mejs-duration\">00:00<\/span><\/div>\n<div class=\"mejs-button mejs-volume-button mejs-mute\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Mute\" aria-label=\"Mute\" tabindex=\"0\"><\/button><a href=\"javascript:void(0);\" class=\"mejs-volume-slider\" aria-label=\"Volume Slider\" aria-valuemin=\"0\" aria-valuemax=\"100\" role=\"slider\" aria-orientation=\"vertical\"><span class=\"mejs-offscreen\">Use Up\/Down Arrow keys to increase or decrease volume.<\/span><\/p>\n<div class=\"mejs-volume-total\">\n<div class=\"mejs-volume-current\" style=\"bottom: 0px; height: 100%;\"><\/div>\n<div class=\"mejs-volume-handle\" style=\"bottom: 100%; margin-bottom: -3px;\"><\/div>\n<\/div>\n<p><\/a><\/div>\n<div class=\"mejs-button mejs-fullscreen-button\"><button type=\"button\" aria-controls=\"mep_0\" title=\"Fullscreen\" aria-label=\"Fullscreen\" tabindex=\"0\"><\/button><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<div>\n<h3><span style=\"vertical-align: inherit\">Installation guide<\/span><\/h3>\n<p><span style=\"vertical-align: inherit\">After Extract, view with your favorite Player.<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Subtitle: None<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Quality: 720p<\/span><\/p>\n<\/div>\n<h3><span style=\"vertical-align: inherit\">download link<\/span><\/h3>\n<p><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_AI_Application_Boost_with_NVIDIA_RAPIDS_Acceleration_2024-2.part1_Downloadly.ir.rar?nocache=1786095594\"><span style=\"vertical-align: inherit\">Download part 1 \u2013 1 GB<\/span><\/a><\/p>\n<p><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_AI_Application_Boost_with_NVIDIA_RAPIDS_Acceleration_2024-2.part2_Downloadly.ir.rar?nocache=1786095594\"><span style=\"vertical-align: inherit\">Download part 2 \u2013 1 GB<\/span><\/a><\/p>\n<p><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Udemy_AI_Application_Boost_with_NVIDIA_RAPIDS_Acceleration_2024-2.part3_Downloadly.ir.rar?nocache=1786095594\"><span style=\"vertical-align: inherit\">Download part 3 \u2013 232 MB<\/span><\/a><\/p>\n<p><span style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/p>\n<h3><span style=\"vertical-align: inherit\">Size<\/span><\/h3>\n<p><span style=\"vertical-align: inherit\">2.2 GB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description AI Application Boost with NVIDIA RAPIDS Acceleration course. 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