{"id":13518,"date":"2026-08-10T11:00:22","date_gmt":"2026-08-10T11:00:22","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-run-local-llms-with-ollama-from-no-code-to-python-code-2025-10\/"},"modified":"2026-08-10T11:00:22","modified_gmt":"2026-08-10T11:00:22","slug":"udemy-run-local-llms-with-ollama-from-no-code-to-python-code-2025-10","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-run-local-llms-with-ollama-from-no-code-to-python-code-2025-10\/","title":{"rendered":"Udemy \u2013 Run Local LLMs with Ollama: From No-Code to Python Code 2025-10"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<p>&nbsp;<\/p>\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\" data-path-to-node=\"7\"><span dir=\"auto\" style=\"vertical-align: inherit\">Run Local LLMs with Ollama: From No-Code to Python Code. This course teaches how to work with language models like Meta Llama through the user-friendly Ollama platform. The course uses the Llama model as the main example, but the techniques presented can also be applied to other open-source models such as DeepSeq and Qone. The course content starts at an introductory level and covers working with language models step-by-step, both through no-code tools and using Python programming. Participants first learn the basic concepts and features of the Llama 3 model, then work hands-on with installing, configuring, and fine-tuning the model for real-world applications. This comprehensive approach enables learners to confidently use large language models in their own practical projects and develop AI-based solutions upon completion of the course.<\/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=\"10,0,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Fundamentals of Artificial Intelligence and LLM:<\/span><\/li>\n<li data-path-to-node=\"10,0,1,0,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Introduction to Artificial Intelligence (AI), Neural Networks, and LLM principles.<\/span><\/li>\n<li data-path-to-node=\"10,0,1,1,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Understand the differences between AI vs. ML vs. DL (machine learning vs. deep learning).<\/span><\/li>\n<li data-path-to-node=\"10,0,1,2,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Concepts of Billion Parameters, Model Benchmarks, Transformers, Embedding, and Quantization.<\/span><\/li>\n<li data-path-to-node=\"10,1,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Introducing Meta LLaMA:<\/span><\/li>\n<li data-path-to-node=\"10,1,1,0,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Introduction to Meta LLaMA 3.2\/3.3 and the history of LLaMA.<\/span><\/li>\n<li data-path-to-node=\"10,1,1,1,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Differences between LLaMA and other LLMs such as GPT.<\/span><\/li>\n<li data-path-to-node=\"10,1,1,2,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">How LLaMA processes text: Tokens, Embeddings, and Attention Mechanisms.<\/span><\/li>\n<li data-path-to-node=\"10,2,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Deployment and Ollama Strategies:<\/span><\/li>\n<li data-path-to-node=\"10,2,1,0,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Model deployment strategies with Hugging Face, PyTorch, Ollama, and Azure, along with demos.<\/span><\/li>\n<li data-path-to-node=\"10,2,1,1,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">In-depth introduction to Ollama, its benefits and uses.<\/span><\/li>\n<li data-path-to-node=\"10,2,1,2,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Installing Ollama on Linux, Mac and Docker mode.<\/span><\/li>\n<li data-path-to-node=\"10,2,1,3,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Demos on Ollama CLI (Command Line Interface) commands.<\/span><\/li>\n<li data-path-to-node=\"10,3,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Custom model and user interface creation:<\/span><\/li>\n<li data-path-to-node=\"10,3,1,0,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Building the first custom model with Ollama and LLaMA.<\/span><\/li>\n<li data-path-to-node=\"10,3,1,1,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">OpenWebUI, a graphical user interface (GUI) for Ollama models.<\/span><\/li>\n<li data-path-to-node=\"10,4,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Applications and integration with Python:<\/span><\/li>\n<li data-path-to-node=\"10,4,1,0,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">How to use simple Python code in Ollama and create embeddings in Ollama.<\/span><\/li>\n<li data-path-to-node=\"10,4,1,1,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Using Ollama with various IDEs like VSCode, Google Colab, and Jupyter Notebook along with demos.<\/span><\/li>\n<li data-path-to-node=\"10,4,1,2,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Multimodality capabilities \u2013 image analysis.<\/span><\/li>\n<li data-path-to-node=\"10,4,1,3,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">LangChain with Ollama and LLaMA \u2013 Introduction to the concept of chaining.<\/span><\/li>\n<li data-path-to-node=\"10,4,1,4,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Ollama compatibility with OpenAI.<\/span><\/li>\n<li data-path-to-node=\"10,4,1,5,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Structured Outputs.<\/span><\/li>\n<li data-path-to-node=\"10,4,1,6,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Tools in LLaMA and Ollama \u2013 Function Calling.<\/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=\"13,0,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Beginners in the field of Generative AI.<\/span><\/li>\n<li data-path-to-node=\"13,1,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Beginners in the field of Meta LLaMA.<\/span><\/li>\n<li data-path-to-node=\"13,2,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Beginners in the field of Ollama.<\/span><\/li>\n<li data-path-to-node=\"13,3,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Enthusiasts who wish to learn Ollama with LLaMA.<\/span><\/li>\n<li data-path-to-node=\"13,4,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Professionals who want to understand and view demos about the Ollama Python library.<\/span><\/li>\n<li data-path-to-node=\"13,5,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Beginners eager to explore artificial intelligence without prior experience.<\/span><\/li>\n<li data-path-to-node=\"13,6,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Technology enthusiasts who want to understand and use advanced artificial intelligence models.<\/span><\/li>\n<li data-path-to-node=\"13,7,0\"><span dir=\"auto\" style=\"vertical-align: inherit\">Developers who intend to integrate artificial intelligence into their personal or professional projects.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Course details<\/span><\/h3>\n<ul>\n<li>Publisher : <a href=\"https:\/\/href.li\/?https:\/\/www.udemy.com\/course\/meta-llama-3-demystified-beginner-to-pro-with-ollama\" target=\"_blank\" rel=\"noopener\">Udemy<\/a><\/li>\n<li>Teacher : <a href=\"https:\/\/downloadlynet.ir\/tag\/kshitij-joy-(cloud-alchemy)\">Kshitij Joy (Cloud Alchemy)<\/a><\/li>\n<li>Language: English<\/li>\n<li>Level : All Levels<\/li>\n<li>Lectures : 130<\/li>\n<li>Duration : 6 hours and 51 minutes<\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Course syllabus<\/span><\/h3>\n<h3><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1042262\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2026\/07\/Run-Local-LLMs-with-Ollama_-From-No-Code-to-Python-Code.c-1.jpeg\" alt=\"Run Local LLMs with Ollama_ From No-Code to Python Code\" width=\"825\" height=\"1030\"><\/h3>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Prerequisites for the Run Local LLMs with Ollama: From No-Code to Python Code course<\/span><\/h3>\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\" dir=\"ltr\" style=\"text-align: left\">\n<ul>\n<li class=\"ud-block-list-item-content\" dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">No programming experience needed, we cover No-Code and Low-Code Approach<\/span><\/li>\n<\/ul>\n<\/div>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Course images<\/span><\/h3>\n<h3><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1042263\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2026\/07\/Run-Local-LLMs-with-Ollama_-From-No-Code-to-Python-Code.d-1.jpeg\" alt=\"Run Local LLMs with Ollama_ From No-Code to Python Code\" width=\"825\" height=\"396\"><\/h3>\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-186389-1\"><video class=\"wp-video-shortcode\" id=\"video-186389-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Run_Local_LLMs_with_Ollama_From_No-Code_to_Python_Code_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Run_Local_LLMs_with_Ollama_From_No-Code_to_Python_Code_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Run_Local_LLMs_with_Ollama_From_No-Code_to_Python_Code_Downloadly.ir.mp4?nocache=1785955798749\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Run_Local_LLMs_with_Ollama_From_No-Code_to_Python_Code_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<p>The 2025\/10 version has increased the number of lessons by 13 and the duration increased by 28 minutes compared to 2025\/1.<\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span dir=\"auto\" style=\"vertical-align: inherit\">Download link<\/span><\/h3>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Udemy_Run_Local_LLMs_with_Ollama_From_No-Code_to_Python_Code_2025-10_Downloadly.ir.part1.rar?nocache=1785955799\" target=\"_blank\" rel=\"noopener\">Download Part 1 \u2013 1 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Udemy_Run_Local_LLMs_with_Ollama_From_No-Code_to_Python_Code_2025-10_Downloadly.ir.part2.rar?nocache=1785955799\" target=\"_blank\" rel=\"noopener\">Download Part 2 \u2013 1 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Udemy_Run_Local_LLMs_with_Ollama_From_No-Code_to_Python_Code_2025-10_Downloadly.ir.part3.rar?nocache=1785955799\" target=\"_blank\" rel=\"noopener\">Download Part 3 \u2013 1 GB<\/a><\/p>\n<p><a href=\"https:\/\/dl4.downloadly.ir\/Files\/Elearning\/Udemy_Run_Local_LLMs_with_Ollama_From_No-Code_to_Python_Code_2025-10_Downloadly.ir.part4.rar?nocache=1785955799\" target=\"_blank\" rel=\"noopener\">Download Part 4 \u2013 398 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>3.38 GB<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; Description Run Local LLMs with Ollama: From No-Code to Python Code. This course teaches how to work with language models like Meta Llama through the use<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[16531],"dgi_tag":[110608,110609,110610,110611,110612,76218],"class_list":["post-13518","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-it-and-software","dgi_tag-course-run-local-llms-with-ollama-from-no-code-to-python-code","dgi_tag-download-course-run-local-llms-with-ollama-from-no-code-to-python-code","dgi_tag-download-run-local-llms-with-ollama-from-no-code-to-python-code","dgi_tag-free-download-run-local-llms-with-ollama-from-no-code-to-python-code","dgi_tag-free-run-local-llms-with-ollama-from-no-code-to-python-code","dgi_tag-kshitij-joy-cloud-alchemy"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/13518","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\/13518\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=13518"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=13518"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=13518"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}