{"id":13468,"date":"2026-08-10T10:59:39","date_gmt":"2026-08-10T10:59:39","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/linkedin-advanced-llms-with-retrieval-augmented-generation-rag-practical-projects-for-ai-applications-2025-1\/"},"modified":"2026-08-10T10:59:39","modified_gmt":"2026-08-10T10:59:39","slug":"linkedin-advanced-llms-with-retrieval-augmented-generation-rag-practical-projects-for-ai-applications-2025-1","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/linkedin-advanced-llms-with-retrieval-augmented-generation-rag-practical-projects-for-ai-applications-2025-1\/","title":{"rendered":"LinkedIn \u2013 Advanced LLMs with Retrieval Augmented Generation (RAG): Practical Projects for AI Applications 2025-1"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Advanced LLMs with Retrieval Augmented Generation (RAG): Practical Projects for AI Applications. This course is designed to teach advanced concepts of large language models and practical implementations of retrieval augmented generation technology for building AI applications. Its primary audience is engineers, solution architects, and software developers responsible for building enterprise applications. The course, offered by Pragmatic AI Labs and taught by Guy Ernst, covers the fundamental and advanced topics required to apply RAG to large language models, including text encoding using embedded vectors, document segmentation with enrichment strategies, and information retrieval optimization. By the end of this course, participants will have acquired the practical skills necessary to exploit RAG capabilities, allowing them to apply language models beyond their basic capabilities and, by extracting information from specific organizational databases, produce accurate and relevant answers that are essential for organizational applications. This course is considered an important step towards advancement in the field of applied artificial intelligence.<\/span><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">What you will learn<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li data-path-to-node=\"9,0,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Recovery-based Augmentative Generation (RAG):<\/span><\/li>\n<li data-path-to-node=\"9,0,1,0,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Mastery of fundamental and advanced RAG concepts for use in LLMs.<\/span><\/li>\n<li data-path-to-node=\"9,1,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Artificial Intelligence (AI) and LLM:<\/span><\/li>\n<li data-path-to-node=\"9,1,1,0,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Gain a deep understanding of how RAG works in combination with Large Language Models (LLM) to solve complex problems.<\/span><\/li>\n<li data-path-to-node=\"9,2,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Encoding and embedded vectors:<\/span><\/li>\n<li data-path-to-node=\"9,2,1,0,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Learn to encode text using embedded vectors.<\/span><\/li>\n<li data-path-to-node=\"9,3,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Preparation of documents:<\/span><\/li>\n<li data-path-to-node=\"9,3,1,0,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Familiarity with document chunking techniques and enrichment strategies for data optimization.<\/span><\/li>\n<li data-path-to-node=\"9,4,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Data recovery:<\/span><\/li>\n<li data-path-to-node=\"9,4,1,0,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Gain skills in improving the document retrieval process to ensure the accuracy and relevance of responses generated by LLM.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">This course is suitable for people who:<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li data-path-to-node=\"12,0,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Software engineers and developers tasked with building AI-based enterprise applications.<\/span><\/li>\n<li data-path-to-node=\"12,1,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Solutions Architects looking to integrate LLMs and RAG into technology infrastructure.<\/span><\/li>\n<li data-path-to-node=\"12,2,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Technical professionals who want to learn about the latest AI-based tools and techniques, especially RAG, in building advanced applications.<\/span><\/li>\n<li data-path-to-node=\"12,3,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Anyone looking to gain practical skills to leverage the power of RAG and enhance LLM capabilities in the workplace.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Course Description Advanced LLMs with Retrieval Augmented Generation (RAG): Practical Projects for AI Applications<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Publisher: <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.linkedin.com\/learning\/advanced-llms-with-retrieval-augmented-generation-rag-practical-projects-for-ai-applications\" target=\"_blank\" rel=\"noopener\"><span dir=\"auto\" style=\"vertical-align: inherit\">LinkedIn<\/span><\/a><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Instructor: <\/span><a href=\"https:\/\/downloadlynet.ir\/tag\/pragmatic-ai-labs\/\"><span dir=\"auto\" style=\"vertical-align: inherit\">Pragmatic AI Labs<\/span><\/a><span dir=\"auto\" style=\"vertical-align: inherit\"> , <\/span><a href=\"https:\/\/downloadlynet.ir\/tag\/guy-ernest\/\"><span dir=\"auto\" style=\"vertical-align: inherit\">Guy Ernest<\/span><\/a><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Training level: Advanced<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Training duration: 1 hour and 47 minutes<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Course topics<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-1021889 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/11\/Advanced-LLMs-with-Retrieval-Augmented-Generation-RAG-Practical-Projects-for-AI-Applications.png\" alt=\"Advanced LLMs with Retrieval Augmented Generation (RAG): Practical Projects for AI Applications\" width=\"439\" height=\"308\"><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-1021888 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/11\/Advanced-LLMs-with-Retrieval-Augmented-Generation-RAG-Practical-Projects-for-AI-Applications-1.png\" alt=\"Advanced LLMs with Retrieval Augmented Generation (RAG): Practical Projects for AI Applications\" width=\"1296\" height=\"214\"><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Sample course video<\/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-186013-1\"><video class=\"wp-video-shortcode\" id=\"video-186013-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Advanced_LLMs_with_Retrieval_Augmented_Generation_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Advanced_LLMs_with_Retrieval_Augmented_Generation_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Advanced_LLMs_with_Retrieval_Augmented_Generation_Downloadly.ir.mp4?nocache=1786175707379\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Advanced_LLMs_with_Retrieval_Augmented_Generation_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 dir=\"ltr\" style=\"text-align: left\">\n<h3><span dir=\"auto\" style=\"vertical-align: inherit\">Installation Guide<\/span><\/h3>\n<p><span dir=\"auto\" style=\"vertical-align: inherit\">After Extract, view with your favorite player.<\/span><\/p>\n<p><span dir=\"auto\" style=\"vertical-align: inherit\">Subtitles: English<\/span><\/p>\n<p><span dir=\"auto\" style=\"vertical-align: inherit\">Quality: 720p<\/span><\/p>\n<\/div>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Download link<\/span><\/h3>\n<h4 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Downloadly<\/span><\/h4>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/LinkedIn_Advanced_LLMs_with_Retrieval_Augmented_Generation_2025-1_Downloadly.ir.rar?nocache=1786175706\"><span dir=\"auto\" style=\"vertical-align: inherit\">Download file \u2013 374 MB<\/span><\/a><\/p>\n<h4 dir=\"ltr\">Rapidgator link<\/h4>\n<p><a href=\"https:\/\/rapidgator.net\/file\/8e40b684677c40b0a899a2ad997c29c9\/LinkedIn_Advanced_LLMs_with_Retrieval_Augmented_Generation_2025-1_Downloadly.ir.rar.html\" target=\"_blank\" rel=\"noopener\">Download File \u2013 374 MB<\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">File size<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">374 MB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Advanced LLMs with Retrieval Augmented Generation (RAG): Practical Projects for AI Applications. This course is designed to teach advanced concepts <\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[110227,110228,110229,110230,110231,110232,62813],"class_list":["post-13468","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-course-advanced-llms-with-retrieval-augmented-generation-rag-practical-projects-for-ai-applications","dgi_tag-download-advanced-llms-with-retrieval-augmented-generation-rag-practical-projects-for-ai-applications","dgi_tag-download-course-advanced-llms-with-retrieval-augmented-generation-rag-practical-projects-for-ai-applications","dgi_tag-free-advanced-llms-with-retrieval-augmented-generation-rag-practical-projects-for-ai-applications","dgi_tag-free-download-advanced-llms-with-retrieval-augmented-generation-rag-practical-projects-for-ai-applications","dgi_tag-guy-ernest","dgi_tag-pragmatic-ai-labs"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/13468","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\/13468\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=13468"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=13468"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=13468"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}