{"id":10443,"date":"2026-08-10T10:19:13","date_gmt":"2026-08-10T10:19:13","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/oreilly-learn-mlops-for-machine-learning-2023-9\/"},"modified":"2026-08-10T10:19:13","modified_gmt":"2026-08-10T10:19:13","slug":"oreilly-learn-mlops-for-machine-learning-2023-9","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/oreilly-learn-mlops-for-machine-learning-2023-9\/","title":{"rendered":"Oreilly \u2013 Learn MLOps for Machine Learning 2023-9"},"content":{"rendered":"<div class=\"w-post-elm post_content\">\n<h2 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Description<\/span><\/h2>\n<p dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Learn MLOps for Machine Learning. This course teaches engineers how to implement DevOps fundamentals in machine learning projects. As machine learning and DevOps technologies grow, Milecia McGregor provides solutions to help engineers manage complex challenges such as changing features, different datasets, new algorithms, and compute resources. Tools like DVC, MLFlow, and AWS help you streamline and automate these processes. This course is suitable for beginners to intermediate level users, and prerequisites include familiarity with building machine learning models in Python, managing data in AWS S3, and working with Git and GitHub.<\/span><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"21:1-21:25\"><span style=\"vertical-align: inherit\">What you will learn:<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"25:1-28:0\">\n<li data-sourcepos=\"25:1-25:118\"><span style=\"vertical-align: inherit\">Leverage MLOps as an emerging field. Data-centric companies are looking for engineers with this skill set.<\/span><\/li>\n<li data-sourcepos=\"26:1-26:127\"><span style=\"vertical-align: inherit\">Build a basic MLOps Pipeline from scratch with open-source tools \u2013 bring a working template to your projects.<\/span><\/li>\n<li data-sourcepos=\"27:1-28:0\"><span style=\"vertical-align: inherit\">Consider ChatGPT to create a practical bridge for engineers and DevOps teams.<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"29:1-29:32\"><span style=\"vertical-align: inherit\">Who is this course suitable for?<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\" data-sourcepos=\"31:1-32:0\">\n<li data-sourcepos=\"31:1-32:0\"><span style=\"vertical-align: inherit\">Machine Learning Engineer, Data Engineer, DevOps Teams<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course details<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li><span style=\"vertical-align: inherit\">Publisher:&nbsp; <\/span><a href=\"https:\/\/href.li\/?https:\/\/www.oreilly.com\/library\/view\/learn-mlops-for\/9780138204785\/?_gl=1*syhmt6*_ga*MTU4NjE0OTc3OC4xNzEyMjIyNDU3*_ga_092EL089CH*czE3NDc2MjgyNzgkbzk1JGcxJHQxNzQ3NjI4MjgxJGo1NyRsMCRoMCRkMG0yY00zVTViVHN0U2VFQnAxdEdJRzBsdFZ6TDNDNm80Zw..\" target=\"_blank\" rel=\"noopener\"><span style=\"vertical-align: inherit\">Oreilly<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Instructor: <\/span><a class=\"author-name\" href=\"https:\/\/downloadlynet.ir\/tag\/milecia-mcgregor\/\"><span style=\"vertical-align: inherit\">Milecia McGregor<\/span><\/a><\/li>\n<li><span style=\"vertical-align: inherit\">Training level: Beginner to intermediate<\/span><\/li>\n<li><span style=\"vertical-align: inherit\">Training duration: 4 hours and 10 minutes<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Course headings<\/span><\/h3>\n<ul dir=\"ltr\" style=\"text-align: left\">\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Introduction <\/span><br \/><span style=\"vertical-align: inherit\">Learn MLOps for Machine Learning: Introduction<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Lesson 1: Learning the MLOps Pipeline <\/span><br \/><span style=\"vertical-align: inherit\">Learning objectives <\/span><br \/><span style=\"vertical-align: inherit\">1.1 Gather the data <\/span><br \/><span style=\"vertical-align: inherit\">1.2 Analyze the data <\/span><br \/><span style=\"vertical-align: inherit\">1.3 Prepare the data <\/span><br \/><span style=\"vertical-align: inherit\">1.4 Train a model <\/span><br \/><span style=\"vertical-align: inherit\">1.5 Evaluate the model <\/span><br \/><span style=\"vertical-align: inherit\">1.6 Validate the model <\/span><br \/><span style=\"vertical-align: inherit\">1.7 Deploy the model <\/span><br \/><span style=\"vertical-align: inherit\">1.8 Monitor the model<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Lesson 2: Handling the Data <\/span><br \/><span style=\"vertical-align: inherit\">Learning objectives <\/span><br \/><span style=\"vertical-align: inherit\">2.1 Determine what the data sources are <\/span><br \/><span style=\"vertical-align: inherit\">2.2 Create ETL pipelines to compile the data <\/span><br \/><span style=\"vertical-align: inherit\">2.3 Understand the data schema with respect to the model <\/span><br \/><span style=\"vertical-align: inherit\">2.4 Identify data that can be used for the model <\/span><br \/><span style=\"vertical-align: inherit\">2.5 Perform feature engineering <\/span><br \/><span style=\"vertical-align: inherit\">2.6 Version the data with DVC <\/span><br \/><span style=\"vertical-align: inherit\">2.7 Make multiple data sets <\/span><br \/><span style=\"vertical-align: inherit\">2.8 MLOps best practices for data<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Lesson 3: Creating a Model <\/span><br \/><span style=\"vertical-align: inherit\">Learning objectives <\/span><br \/><span style=\"vertical-align: inherit\">3.1 Use common Python libraries <\/span><br \/><span style=\"vertical-align: inherit\">3.2 Code versioning with Git <\/span><br \/><span style=\"vertical-align: inherit\">3.3 Perform hyperparameter tuning <\/span><br \/><span style=\"vertical-align: inherit\">3.4 Track experiments with MLFlow <\/span><br \/><span style=\"vertical-align: inherit\">3.5 Track experiments with DVC <\/span><br \/><span style=\"vertical-align: inherit\">3.6 Evaluate the models<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Lesson 4: Working with Production Models <\/span><br \/><span style=\"vertical-align: inherit\">Learning objectives <\/span><br \/><span style=\"vertical-align: inherit\">4.1 Decide the best deployment method <\/span><br \/><span style=\"vertical-align: inherit\">4.2 Test on pre-production environments <\/span><br \/><span style=\"vertical-align: inherit\">4.3 Deploy to production <\/span><br \/><span style=\"vertical-align: inherit\">4.4 Monitor the model for drift <\/span><br \/><span style=\"vertical-align: inherit\">4.5 Validate the pipeline flow <\/span><br \/><span style=\"vertical-align: inherit\">4.6 Automation points in MLOps <\/span><br \/><span style=\"vertical-align: inherit\">4.7 Set up redeploy pipeline<\/span><\/li>\n<li dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Summary <\/span><br \/><span style=\"vertical-align: inherit\">Learn MLOps for Machine Learning: Summary<\/span><\/li>\n<\/ul>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Learn MLOps for Machine Learning course images<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-985261 size-full\" src=\"https:\/\/downloadly.ir\/wp-content\/uploads\/2025\/05\/Learn-MLOps-for-Machine-Learning.png\" alt=\"Learn MLOps for Machine Learning\" width=\"1245\" height=\"433\"><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span 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-165485-1\"><video class=\"wp-video-shortcode\" id=\"video-165485-1_html5\" width=\"640\" height=\"360\" preload=\"metadata\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Learn_MLOps_for_Machine_Learning_Downloadly.ir.mp4?_=1\" style=\"width: 640px; height: 360px;\"><source type=\"video\/mp4\" src=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Learn_MLOps_for_Machine_Learning_Downloadly.ir.mp4?_=1\"><a href=\"https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Learn_MLOps_for_Machine_Learning_Downloadly.ir.mp4?nocache=1786138049932\">https:\/\/dl.downloadly.ir\/Files\/Elearning\/Sample\/Learn_MLOps_for_Machine_Learning_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 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\">Subtitles: None<\/span><\/p>\n<p><span style=\"vertical-align: inherit\">Quality: 720p<\/span><\/p>\n<\/div>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">Download link<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><a href=\"https:\/\/dl3.downloadly.ir\/Files\/Elearning\/Oreilly_Learn_MLOps_for_Machine_Learning_2023-9_Downloadly.ir.rar?nocache=1786138049\"><span style=\"vertical-align: inherit\">Download file \u2013 482 MB<\/span><\/a><\/p>\n<p dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">File(s) password: www.downloadly.ir<\/span><\/p>\n<h3 dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">File size<\/span><\/h3>\n<p dir=\"ltr\" style=\"text-align: left\"><span style=\"vertical-align: inherit\">482 MB<\/span><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Description Learn MLOps for Machine Learning. This course teaches engineers how to implement DevOps fundamentals in machine learning projects. As machine learni<\/p>\n","protected":false},"author":1,"template":"","dgi_category":[10458],"dgi_tag":[88234,88235,88236,88237,88238,40521],"class_list":["post-10443","digital_item","type-digital_item","status-publish","has-post-thumbnail","hentry","dgi_category-video-tutorials","dgi_tag-course-learn-mlops-for-machine-learning","dgi_tag-download-course-learn-mlops-for-machine-learning","dgi_tag-download-learn-mlops-for-machine-learning","dgi_tag-free-download-learn-mlops-for-machine-learning","dgi_tag-free-learn-mlops-for-machine-learning","dgi_tag-milecia-mcgregor"],"_links":{"self":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/digital_item\/10443","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\/10443\/revisions"}],"wp:attachment":[{"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/media?parent=10443"}],"wp:term":[{"taxonomy":"dgi_category","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_category?post=10443"},{"taxonomy":"dgi_tag","embeddable":true,"href":"https:\/\/nokobox.com\/index.php\/wp-json\/wp\/v2\/dgi_tag?post=10443"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}