{"id":12144,"date":"2026-08-10T10:41:41","date_gmt":"2026-08-10T10:41:41","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/linkedin-build-with-ai-llm-powered-applications-with-streamlit-2025-9\/"},"modified":"2026-08-10T10:41:41","modified_gmt":"2026-08-10T10:41:41","slug":"linkedin-build-with-ai-llm-powered-applications-with-streamlit-2025-9","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/linkedin-build-with-ai-llm-powered-applications-with-streamlit-2025-9\/","title":{"rendered":"LinkedIn \u2013 Build with AI: LLM-Powered Applications with Streamlit 2025-9"},"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\">Build with AI: LLM-Powered Applications with Streamlit. This course provides hands-on training in building applications powered by large language models (LLMs) and artificial intelligence using the Streamlit Python framework. Instructor Megan Silvey demonstrates how to use Streamlit to build web applications, which has become a key tool for data and AI professionals. The course focuses on designing and deploying a Retrieval-Augmented Generation (RAG)-enabled document Q&amp;A chatbot in Streamlit using Python and the OpenAI API. The course begins with an overview of Streamlit and large language models, and covers best practices for working with AI and APIs. Participants then learn how to prepare text data to create a RAG pipeline and integrate it into a Streamlit chat interface. By the end, participants will be able to test, maintain, and deploy a fully functional chatbot on the Streamlit Community Cloud platform.<\/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><span dir=\"auto\" style=\"vertical-align: inherit\">Building the first LLM-based application with Python and Streamlit<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">LLM and RAG Basics Training: This course will teach you the concepts of LLM and RAG.<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Creating a knowledge base: You will learn how to prepare text data for embedding, generate embeddings for searching, and create a Faiss vector store for fast information retrieval.<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Building a Chatbot UI: You will learn how to build a chat UI in Streamlit for LLM interactions, integrate the RAG pipeline into your application, and handle errors properly.<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Testing, Maintenance, and Deployment: You will learn how to test, maintain, and improve your chatbot and deploy it for free on the Streamlit Community Cloud.<\/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><span dir=\"auto\" style=\"vertical-align: inherit\">AI enthusiasts: People looking to learn how to build applications using large language models (LLMs) and modern frameworks.<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Python programmers and developers: People who want to expand their skills in artificial intelligence and machine learning using Streamlit.<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Students and researchers: People who are studying in fields related to data science, artificial intelligence, or programming and are looking for practical projects to strengthen their resume.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Course Details Build with AI: LLM-Powered Applications with Streamlit<\/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\/build-with-ai-llm-powered-applications-with-streamlit\" 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\/megan-silvey\/\"><span dir=\"auto\" style=\"vertical-align: inherit\">Megan Silvey<\/span><\/a><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Education level: Intermediate<\/span><\/li>\n<li><span dir=\"auto\" style=\"vertical-align: inherit\">Training duration: 3 hours and 16 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-1005963 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/09\/Build-with-AI-LLM-Powered-Applications-with-Streamlit.png\" alt=\"Build with AI: LLM-Powered Applications with Streamlit\" width=\"441\" height=\"442\"><\/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-1005962 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/09\/Build-with-AI-LLM-Powered-Applications-with-Streamlit-1.png\" alt=\"Build with AI: LLM-Powered Applications with Streamlit\" width=\"986\" height=\"190\"><\/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; 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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<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/LinkedIn_Build_with_AI_LLM-Powered_Applications_with_Streamlit_2025-9_Downloadly.ir.rar?nocache=1786142693\"><span dir=\"auto\" style=\"vertical-align: inherit\">Download file \u2013 387 MB<\/span><\/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\">387 MB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Build with AI: LLM-Powered Applications with Streamlit. This course provides hands-on training in building applications powered by large language mo<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[100572,100573,100574,100575,100576,55915],"class_list":["post-12144","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-course-build-with-ai-llm-powered-applications-with-streamlit","dgi_tag-download-build-with-ai-llm-powered-applications-with-streamlit","dgi_tag-download-course-build-with-ai-llm-powered-applications-with-streamlit","dgi_tag-free-build-with-ai-llm-powered-applications-with-streamlit","dgi_tag-free-download-build-with-ai-llm-powered-applications-with-streamlit","dgi_tag-megan-silvey"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/12144","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\/12144\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=12144"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=12144"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=12144"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}