{"id":11616,"date":"2026-08-10T10:34:34","date_gmt":"2026-08-10T10:34:34","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/frontend-masters-open-source-ai-with-python-hugging-face-2025-8\/"},"modified":"2026-08-10T10:34:34","modified_gmt":"2026-08-10T10:34:34","slug":"frontend-masters-open-source-ai-with-python-hugging-face-2025-8","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/frontend-masters-open-source-ai-with-python-hugging-face-2025-8\/","title":{"rendered":"Frontend Masters \u2013 Open Source AI with Python &#038; Hugging Face 2025-8"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2>Description<\/h2>\n<p>Python: AI &amp; Hugging Face is a course on how to harness the power of Python to build and deploy AI applications using the Hugging Face ecosystem, published by Frontend Masters Online Academy. This is a comprehensive course designed to teach you how to harness the power of Python to build and deploy AI applications using the Hugging Face ecosystem. The course covers the basics of natural language processing (NLP), machine learning model training, fine-tuning pre-trained transformers, and integrating AI capabilities into real-world projects. Students will explore the Hugging Face transformer library, datasets, tokenizers, and pipelines, while gaining hands-on experience in deploying and optimizing the model.<\/p>\n<p>The course combines theory with practical coding exercises to ensure that participants can confidently apply their skills to a variety of AI-based tasks. This one-day coding course takes Python-savvy learners from zero experience with Hugging Face to publishing their own text and visual AI demos. Through guided labs and live demos, students will become familiar with all of the core HF libraries, understand best practices, and confidently continue their AI journey.<\/p>\n<h3>What you will learn in Python: AI &amp; Hugging Face:<\/h3>\n<ul>\n<li>Understand the core Hugging Face ecosystem (hub, transformers, datasets, broadcasters, spaces)<\/li>\n<li>&nbsp;Fine-tune a text model with parameter-efficient LoRA techniques on Colab\u2019s free GPUs<\/li>\n<li>&nbsp;Produce images with stable publishing via the broadcaster library<\/li>\n<li>&nbsp;Build and deploy a Gradio space to share your model with the world<\/li>\n<li>&nbsp;Learn essential evaluation practices, bias awareness, and security scanning<\/li>\n<li>&nbsp;Enjoy this course with practical code, reusable notebooks, and next-step learning paths<\/li>\n<li>&nbsp;And\u2026<\/li>\n<\/ul>\n<h3>Course specifications<\/h3>\n<ul>\n<li>Publisher : <a href=\"https:\/\/href.li\/?https:\/\/frontendmasters.com\/courses\/python-ai\/\" target=\"_blank\" rel=\"noopener\">Frontend Masters<\/a><\/li>\n<li>Teacher : <a href=\"https:\/\/downloadlynet.ir\/tag\/steve-kinney\">Steve Kinney<\/a><\/li>\n<li>Language: English<\/li>\n<li>Level : All Levels<\/li>\n<li>Lectures : 30<\/li>\n<li>Duration : 4 hours and 33 minutes<\/li>\n<\/ul>\n<h3>Course topics<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1006178\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/09\/Open-Source-AI-with-Python-Hugging-Face.c-scaled.jpeg\" alt=\"Open Source AI with Python &amp; Hugging Face\" width=\"1117\" height=\"2560\"><\/p>\n<h3>Python: AI &amp; Hugging Face Prerequisites<\/h3>\n<p>Grasp of Python fundamentals (functions, classes, virtual environments)<br \/>Familiarity with running Jupyter\/Colab notebooks<br \/>Basic understanding of machine-learning concepts (datasets, training loops)<br \/>A free Hugging Face account (set up before the workshop)<br \/>Google account for Colab access<\/p>\n<h3>Pictures<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1006179\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/09\/Open-Source-AI-with-Python-Hugging-Face.d.jpeg\" alt=\"Open Source AI with Python &amp; Hugging Face\" width=\"957\" height=\"157\"><\/p>\n<h3>Python: AI &amp; Hugging Face introduction video<\/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-172665-1\"><video class=\"wp-video-shortcode\" id=\"video-172665-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Python_AI_Hugging_Face_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Python_AI_Hugging_Face_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Python_AI_Hugging_Face_Downloadly.ir.mp4?nocache=1786141255489\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Python_AI_Hugging_Face_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<h3><span class=\"notranslate\">Installation guide<\/span><\/h3>\n<p dir=\"ltr\">After Extract, watch with your favorite Player.<\/p>\n<p dir=\"ltr\">Subtitle: English<\/p>\n<p dir=\"ltr\">Quality: 1080p<\/p>\n<p>The 2025\/8 version is a classified version with subtitles compared to the 2025\/8 version.<\/p>\n<h3>Download link<\/h3>\n<h4><strong>Downloadly<\/strong><\/h4>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Frontend_Masters_Open_Source_AI_with_Python_Hugging_Face_2025-8_Downloadly.ir.part1.rar?nocache=1786141254\">Download Part 1 \u2013 1 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Frontend_Masters_Open_Source_AI_with_Python_Hugging_Face_2025-8_Downloadly.ir.part2.rar?nocache=1786141254\">Download Part 2 \u2013 490 MB<\/a><\/p>\n<h4><strong>Rapidgator<\/strong><\/h4>\n<p><a href=\"https:\/\/rapidgator.net\/file\/a816d7571a265d60c225478922991efa\/Frontend_Masters_Open_Source_AI_with_Python_Hugging_Face_2025-8_Downloadly.ir.part1.rar.html\" target=\"_blank\" rel=\"noopener\">Download Part 1 \u2013 1 GB<\/a><\/p>\n<p><a href=\"https:\/\/rapidgator.net\/file\/0f470d71aacc96b77d17b1870f3d05a6\/Frontend_Masters_Open_Source_AI_with_Python_Hugging_Face_2025-8_Downloadly.ir.part2.rar.html\" target=\"_blank\" rel=\"noopener\">Download Part 2 \u2013 490 MB<\/a><\/p>\n<h5 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/h5>\n<h3>Size<\/h3>\n<p>1.47 GB<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Python: AI &amp; Hugging Face is a course on how to harness the power of Python to build and deploy AI applications using the Hugging Face ecosystem<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[96686,96687,96688,96689,42849],"class_list":["post-11616","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-frontend-masters-python-ai-hugging-face","dgi_tag-frontend-masters-python-ai-hugging-face-download","dgi_tag-frontend-masters-python-ai-hugging-face-free","dgi_tag-frontend-masters-python-ai-hugging-face-free-download","dgi_tag-steve-kinney"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/11616","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item"}],"about":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/types\/digital_item"}],"author":[{"embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":0,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/11616\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=11616"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=11616"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=11616"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}