{"id":101489,"date":"2026-07-17T14:50:50","date_gmt":"2026-07-17T09:20:50","guid":{"rendered":"https:\/\/www.whizlabs.com\/blog\/?p=101489"},"modified":"2026-07-17T14:51:51","modified_gmt":"2026-07-17T09:21:51","slug":"ai-300-mlops-engineer-exam-guide","status":"publish","type":"post","link":"https:\/\/www.whizlabs.com\/blog\/ai-300-mlops-engineer-exam-guide\/","title":{"rendered":"Microsoft AI-300 MLOps Engineer Certification Exam Guide 2026"},"content":{"rendered":"<!--[if lt IE 9]><script>document.createElement('audio');<\/script><![endif]-->\n<audio class=\"wp-audio-shortcode\" id=\"audio-101489-1\" preload=\"none\" style=\"width: 100%;\" controls=\"controls\"><source type=\"audio\/mpeg\" src=\"https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/How_to_Pass_the_AI-300_MLOps_Exam.mp3?_=1\" \/><a href=\"https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/How_to_Pass_the_AI-300_MLOps_Exam.mp3\">https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/How_to_Pass_the_AI-300_MLOps_Exam.mp3<\/a><\/audio>\n<p><span style=\"font-weight: 400;\">Companies often believe that building an ML model is the hardest part of an AI project. When the models are finally ready for deployment after weeks of effort, the team feels relieved. But once it is live, new challenges come up.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Model performance changes as per the changing data, customer trends, and new technology. Companies must deploy the latest versions without affecting user experience. But who can set the processes in place and make sure the models run efficiently at all times?<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This is exactly where MLOps comes in. It helps you learn how to deploy, manage, monitor, and automate machine learning solutions throughout their lifecycle. But if you are unsure about the <\/span><b>AI-300 MLOps Engineer exam preparation<\/b><span style=\"font-weight: 400;\">, this study guide can help you out. It covers the exam objectives and creates a study plan that helps you prepare confidently.<\/span><\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_76 ez-toc-wrap-left counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #ea7e02;color:#ea7e02\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #ea7e02;color:#ea7e02\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-300-mlops-engineer-exam-guide\/#AI-300_Exam_Details_Cost_Duration_Skills_Measured\" >AI-300 Exam Details: Cost, Duration &amp; Skills Measured<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-300-mlops-engineer-exam-guide\/#What_Is_the_Microsoft_AI-300_MLOps_Engineer_Associate_Certification\" >What Is the Microsoft AI-300 MLOps Engineer Associate Certification?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-300-mlops-engineer-exam-guide\/#Is_the_Microsoft_MLOps_Engineer_Associate_Certification_Right_for_You\" >Is the Microsoft MLOps Engineer Associate Certification Right for You?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-300-mlops-engineer-exam-guide\/#AI-300_Exam_Skills_Measured_Latest_Objectives\" >AI-300 Exam Skills Measured (Latest Objectives)<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-300-mlops-engineer-exam-guide\/#Design_and_Implement_an_MLOps_Infrastructure\" >Design and Implement an MLOps Infrastructure<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-300-mlops-engineer-exam-guide\/#Implement_Machine_Learning_Model_Lifecycle_and_Operations\" >Implement Machine Learning Model Lifecycle and Operations<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-300-mlops-engineer-exam-guide\/#Design_and_Implement_A_GenAIOps_Infrastructure\" >Design and Implement A GenAIOps Infrastructure<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-300-mlops-engineer-exam-guide\/#Implement_Generative_AI_Quality_Assurance_and_Observability\" >Implement Generative AI Quality Assurance and Observability<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-300-mlops-engineer-exam-guide\/#Optimize_Generative_AI_Systems_and_Model_Performance\" >Optimize Generative AI Systems and Model Performance<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-300-mlops-engineer-exam-guide\/#4-Week_Study_Plan_for_AI-300\" >4-Week Study Plan for AI-300<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-300-mlops-engineer-exam-guide\/#Week_1_Build_Your_MLOps_Foundation\" >Week 1: Build Your MLOps Foundation<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-300-mlops-engineer-exam-guide\/#Week_2_Focus_on_Machine_Learning_Operations\" >Week 2: Focus on Machine Learning Operations<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-300-mlops-engineer-exam-guide\/#Week_3_Explore_GenAIOps\" >Week 3: Explore GenAIOps<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-300-mlops-engineer-exam-guide\/#Week_4_Revise_and_Practice\" >Week 4: Revise and Practice<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-300-mlops-engineer-exam-guide\/#Best_AI-300_MLOps_Engineer_Exam_Preparation_Resources\" >Best AI-300 MLOps Engineer Exam Preparation Resources<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-300-mlops-engineer-exam-guide\/#AI-300_Exam_Readiness_Checklist_Before_You_Book_the_Exam\" >AI-300 Exam Readiness Checklist Before You Book the Exam<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-300-mlops-engineer-exam-guide\/#Final_Thoughts_How_to_Pass_the_AI-300_Exam\" >Final Thoughts: How to Pass the AI-300 Exam<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/www.whizlabs.com\/blog\/ai-300-mlops-engineer-exam-guide\/#FAQs\" >FAQs<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"AI-300_Exam_Details_Cost_Duration_Skills_Measured\"><\/span><b>AI-300 Exam Details: Cost, Duration &amp; Skills Measured<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<table>\n<tbody>\n<tr>\n<td style=\"text-align: center;\" colspan=\"2\"><a title=\"AI-300: Microsoft Machine Learning Operations (MLOps) Engineer Associate\" href=\"https:\/\/www.whizlabs.com\/ai-300-microsoft-machine-learning-operations-engineer-associate\/\" target=\"_blank\" rel=\"noopener\" data-schema-attribute=\"about mentions\"><b>AI-300: Microsoft Machine Learning Operations (MLOps) Engineer Associate<\/b><\/a><\/td>\n<\/tr>\n<tr>\n<td><b>Prior Certification:<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Not required<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>Exam Validity<\/b><\/td>\n<td><span style=\"font-weight: 400;\">1 Year \/ 12 Months<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>Exam Fee<\/b><\/td>\n<td><span style=\"font-weight: 400;\">$165 USD<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>Exam Duration:<\/b><\/td>\n<td><span style=\"font-weight: 400;\">120 Minutes<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>No. of questions<\/b><\/td>\n<td><span style=\"font-weight: 400;\">40-60 Questions<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>Passing Marks\/Score<\/b><\/td>\n<td><span style=\"font-weight: 400;\">700<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>Recommended Experience<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Candidates should have hands-on experience with AIOps on Azure, including both MLOps and GenAIOps, with the ability to work with Azure Machine Learning for managing machine learning models and Microsoft Foundry for generative AI applications. A strong foundation in Python, along with basic DevOps practices such as CI\/CD using GitHub Actions and working with CLI tools, is recommended. Additionally, experience with Infrastructure as Code (IaC) using Bicep and Azure CLI, and managing the end-to-end AI model lifecycle, will be beneficial.<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>Exam Format<\/b><\/td>\n<td><span style=\"font-weight: 400;\">Multiple Choice, Yes\/No, Drag &amp; Drop, Case Studies, and Multiple Response<\/span><\/td>\n<\/tr>\n<tr>\n<td><b>Languages:<\/b><\/td>\n<td><span style=\"font-weight: 400;\">English<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2><span class=\"ez-toc-section\" id=\"What_Is_the_Microsoft_AI-300_MLOps_Engineer_Associate_Certification\"><\/span><b>What Is the <a title=\"Microsoft AI-300 MLOps Engineer Associate Certification?\" href=\"https:\/\/www.whizlabs.com\/ai-300-microsoft-machine-learning-operations-engineer-associate\/\" target=\"_blank\" rel=\"noopener\" data-schema-attribute=\"about mentions\">Microsoft AI-300 MLOps Engineer Associate Certification?<\/a><\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Before panning out the preparation details, let\u2019s understand what the <\/span><b>Microsoft MLOps Engineer Associate <\/b><span style=\"font-weight: 400;\">certification is about.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The certification assesses if you can keep the machine learning and GenAI solutions working effectively on Azure. Rather than focusing on building and deploying models, your role focuses on testing and maintaining them throughout their lifecycle.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As a candidate, your role involves creating <\/span><b>Azure Machine Learning pipelines<\/b><span style=\"font-weight: 400;\">, automating deployments, monitoring performance, and optimising AI systems. The certification covers modern GenAIOps concepts, including deploying and managing generative AI applications. Additionally, you will become proficient in implementing quality assurance and observability, as well as optimising AI solutions for reliability and performance.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You will simultaneously gain practical skills to keep the ML and GenAI solutions secure, scalable, and production-ready as business requirements evolve.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Is_the_Microsoft_MLOps_Engineer_Associate_Certification_Right_for_You\"><\/span><b>Is the Microsoft MLOps Engineer Associate Certification Right for You?<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Before you kickstart the <\/span><b>AI-300 MLOps Engineer exam preparation<\/b><span style=\"font-weight: 400;\">, ask yourself: Do you want to build AI models or want to oversee the operations? If your interest is in assuring effective and error-free performance after deployment, the certification is the right choice for you.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The Microsoft MLOps Engineer Associate certification is suitable for you if you already know about machine learning on Azure. Your next step is learning what happens after building the machine and how to manage various model versions.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You can consider the AI-300 certification if you relate to one of the following:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Do you want to transition from machine learning or DevOps into MLOps?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Are you responsible for deploying or maintaining AI solutions on Azure?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Would you want to understand how to automate the machine learning lifecycle using MLOps practices?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Do you want to work with production-ready AI and Generative AI applications rather than experimental models?<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">But those who are entirely new to AI shouldn\u2019t directly jump to AI-300. Build your base with the foundational course and then move to specialisation once you are ready. A strong base builds your career and prepares you for the AI developments ahead.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"AI-300_Exam_Skills_Measured_Latest_Objectives\"><\/span><b>AI-300 Exam Skills Measured (Latest Objectives)<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Now that you know the <\/span><a title=\"Microsoft MLOps Engineer Associate\" href=\"https:\/\/www.whizlabs.com\/ai-300-microsoft-machine-learning-operations-engineer-associate\/\" target=\"_blank\" rel=\"noopener\" data-schema-attribute=\"about mentions\"><b>Microsoft MLOps Engineer Associate <\/b><\/a><span style=\"font-weight: 400;\">certification is right for you, gain insight into what you need to learn and understand. These exam topics also help you understand the end-to-end responsibilities in your organisation.<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><b>Domain<\/b><\/td>\n<td><b>Weightage<\/b><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Design and implement an MLOps infrastructure<\/span><\/td>\n<td><span style=\"font-weight: 400;\">15 to 20%<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Implement machine learning model lifecycle and operations<\/span><\/td>\n<td><span style=\"font-weight: 400;\">25 to 30%<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Design and implement a GenAIOps infrastructure<\/span><\/td>\n<td><span style=\"font-weight: 400;\">20 to 25%<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Implement generative AI quality assurance and observability<\/span><\/td>\n<td><span style=\"font-weight: 400;\">10 to 15%<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Optimize generative AI systems and model performance<\/span><\/td>\n<td><span style=\"font-weight: 400;\">10 to 15%<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\">Below is a quick breakdown of the topics you must cover from these <\/span><b>AI-300 exam domains<\/b><span style=\"font-weight: 400;\"> during your preparation:<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Design_and_Implement_an_MLOps_Infrastructure\"><\/span><b>Design and Implement an MLOps Infrastructure<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><strong>Learn how to create and manage the following:<\/strong><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Workspace<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Datastores<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Computer targets<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Datasets<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Azure environments<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Components<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Additionally, learn how to perform the following tasks:<\/span><\/p>\n<ul>\n<li><span style=\"font-weight: 400;\">Configuring GitHub integration with Machine Learning to enable secure access.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Deploying Machine Learning workspaces and resources by using Bicep and Azure CLI.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Automating resource provisioning by using GitHub Actions workflows.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Restricting network access to Machine Learning workspaces.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Managing source control for machine learning projects by using Git.<\/span><\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"Implement_Machine_Learning_Model_Lifecycle_and_Operations\"><\/span><b>Implement Machine Learning Model Lifecycle and Operations<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The next step is managing ML lifecycles, with a focus on deployment, monitoring, maintenance, and updation for relevancy.\u00a0<\/span><\/p>\n<p><strong>You will cover the following exam topics:<\/strong><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Registering <\/span><b>MLflow on Azure<\/b><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Running model training scripts<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Online and batch deployments<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Comparing model performance for different jobs<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Implementing training pipelines<\/span><\/li>\n<\/ul>\n<p><strong>Additionally, learn how to perform the following tasks:<\/strong><\/p>\n<ul>\n<li><span style=\"font-weight: 400;\">Registering and versioning machine learning models.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Deploying models for real-time and batch inference.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Monitoring model performance and operational health.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Retraining and redeploying models when performance declines.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Managing the complete machine learning lifecycle using Azure Machine Learning.<\/span><\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"Design_and_Implement_A_GenAIOps_Infrastructure\"><\/span><b>Design and Implement A GenAIOps Infrastructure<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Since organisations are actively adopting Generative AI, it has become imperative for professionals to manage LLMs and AI applications. In this module, you learn how you perform the following tasks:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Create and configure Azure AI Foundry resources.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Deploy infrastructure by using Azure CLI and Bicep templates.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Select the right GenAI models as per their use cases.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Develop accurate prompts.<\/span><\/li>\n<\/ul>\n<p><strong>Additionally, learn how to perform the following tasks:<\/strong><\/p>\n<ul>\n<li><span style=\"font-weight: 400;\">Configuring infrastructure for Generative AI applications.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Deploying foundation models and AI applications.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Managing prompts, prompt flows, and supporting resources.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Automating deployment workflows for Generative AI solutions.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Securing and governing Generative AI environments.<\/span><\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"Implement_Generative_AI_Quality_Assurance_and_Observability\"><\/span><b>Implement Generative AI Quality Assurance and Observability<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The next module focuses on making sure that the GenAI models you build are safe and deliver consistent responses. It evaluates if the AI quality matches company requirements and focuses on the following:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Evaluation and validation Configuration<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI monitoring dashboards<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Safety configurations<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Observability tools<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Evaluation reports<\/span><\/li>\n<\/ul>\n<p><strong>Additionally, learn how to perform the following tasks:<\/strong><\/p>\n<ul>\n<li><span style=\"font-weight: 400;\">Evaluating the quality of AI-generated responses.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Monitoring application performance and usage.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Detecting harmful, biased, or unexpected outputs.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Implementing content safety and responsible AI practices.<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Troubleshooting Generative AI applications using observability tools.<\/span><\/li>\n<\/ul>\n<h3><span class=\"ez-toc-section\" id=\"Optimize_Generative_AI_Systems_and_Model_Performance\"><\/span><b>Optimize Generative AI Systems and Model Performance<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">After deploying a GenAI application, you must continuously optimise it to improve performance and ensure quality. This model focuses on how to fine-tune the overall performance so there is no compromise with the user\u2019s experience.<\/span><\/p>\n<p><strong>It focuses on managing the following tasks:<\/strong><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Optimising RAG (Retrieval Augmented Generation) performance.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Combining semantic and keyword-generated retrieval to optimise hybrid searches.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Design and implement fine-tuning methods for smooth operations.<\/span><\/li>\n<\/ul>\n<p><strong>Additionally, learn how to approach the following tasks:<\/strong><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Optimising prompts and <\/span><b>model deployment on Azure<\/b><span style=\"font-weight: 400;\">.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Improving response quality and consistency.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Reducing latency and resource consumption.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Monitoring inference costs and system performance.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Selecting the most appropriate models for different business scenarios.<\/span><\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"4-Week_Study_Plan_for_AI-300\"><\/span><b>4-Week Study Plan for AI-300<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">Now that you are familiar with the syllabus for this <\/span><b>Microsoft AI certification in 2026<\/b><span style=\"font-weight: 400;\">, it is time to draft a weekly study guide that you can follow. Remember not to try and learn everything at once. Rather break your preparation down into realistic goals, as suggested below:<\/span><\/p>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-101495\" src=\"https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-Exam-Study-Plan.webp\" alt=\"AI-300 Exam Study Plan\" width=\"2005\" height=\"1081\" srcset=\"https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-Exam-Study-Plan.webp 2005w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-Exam-Study-Plan-300x162.webp 300w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-Exam-Study-Plan-1024x552.webp 1024w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-Exam-Study-Plan-768x414.webp 768w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-Exam-Study-Plan-1536x828.webp 1536w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-Exam-Study-Plan-150x81.webp 150w\" sizes=\"(max-width: 2005px) 100vw, 2005px\" \/><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Week_1_Build_Your_MLOps_Foundation\"><\/span><b>Week 1: Build Your MLOps Foundation<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Begin by learning the ML fundamentals within the Azure ecosystem and the associated role and responsibilities of an MLOps engineer. Get an understanding of core concepts like workspaces, datastores, compute targets, datasets, environments, and components.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As the week nears its end, start practising on the Azure portal, Azure CLI, or Bicep templates.<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Week_2_Focus_on_Machine_Learning_Operations\"><\/span><b>Week 2: Focus on Machine Learning Operations<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Your next agenda should focus on the practical approach. Learn how to automate ML pipelines, deploy batch endpoints, and monitor model performance after deployment.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Spend time on exercises involving model deployment and ways to manage various model versions. Hands-on exercises are especially vital as most AI-300 exam questions focus on real-world scenarios.<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Week_3_Explore_GenAIOps\"><\/span><b>Week 3: Explore GenAIOps<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The next focus should be on GenAI concepts, involving Azure AI Foundry, prompt flows, foundation model deployments, and GenAIOps infrastructure. In the third week, focus on learning how to monitor and evaluate Generative AI applications while ensuring secure usage.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Additionally, learn how to fine-tune AI models and understand how different prompts, model selection, and observability can affect the overall solutions.<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Week_4_Revise_and_Practice\"><\/span><b>Week 4: Revise and Practice<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The final week is crucial, as that\u2019s where you assess your preparedness and understanding. Start revising difficult topics, reviewing your learning material, and taking tests.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">But make sure you don\u2019t pick up a new <\/span><b>Azure MLOps exam topic <\/b><span style=\"font-weight: 400;\">in the last 7 days, as it can confuse you and shake your confidence. Utilise this time to identify your weak areas and work on them more so that you are ready by the exam date.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Best_AI-300_MLOps_Engineer_Exam_Preparation_Resources\"><\/span><b>Best AI-300 MLOps Engineer Exam Preparation Resources<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-101497\" src=\"https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-study-resources.webp\" alt=\"AI-300 study resources\" width=\"1678\" height=\"1152\" srcset=\"https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-study-resources.webp 1678w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-study-resources-300x206.webp 300w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-study-resources-1024x703.webp 1024w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-study-resources-768x527.webp 768w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-study-resources-1536x1055.webp 1536w, https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-study-resources-150x103.webp 150w\" sizes=\"(max-width: 1678px) 100vw, 1678px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">You are confident that with the right study material and dedication, you can clear the AI-300 certification exam on your first attempt. But which are those guides that can teach and prepare you? Below is a list of trusted materials that will be a big part of your <\/span><b>AI-300 MLOps Engineer exam preparation<\/b><span style=\"font-weight: 400;\">:<\/span><\/p>\n<ul>\n<li aria-level=\"1\"><b>Microsoft Training Course: <\/b><span style=\"font-weight: 400;\">Microsoft offers a self-directed and industry-led <\/span><strong><a title=\"training session\" href=\"https:\/\/learn.microsoft.com\/en-us\/training\/courses\/ai-300t00\" target=\"_blank\" rel=\"noopener\">training session<\/a><\/strong><span style=\"font-weight: 400;\"> and covers the modules. This official training documentation solidifies your knowledge and prepares you for the certification exam.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-level=\"1\"><b>Online Videos: <\/b><span style=\"font-weight: 400;\">Whizlabs offers <\/span><strong><a title=\"AI-300 video training\" href=\"https:\/\/www.whizlabs.com\/ai-300-microsoft-machine-learning-operations-engineer-associate\/\" target=\"_blank\" rel=\"noopener\">AI-300 video training<\/a><\/strong><span style=\"font-weight: 400;\"> with industry experts who break down complex topics into simple language for understanding.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-level=\"1\"><b>Hands-On Labs: <\/b><span style=\"font-weight: 400;\">You can also enrol in guided labs, where you can learn how to implement your learnings step-by-step and get ready to work in a real-world environment.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-level=\"1\"><b>Sandbox: <\/b><span style=\"font-weight: 400;\">Experience how your actual exam will look and feel through the <\/span><span style=\"font-weight: 400;\">Microsoft Exam Sandbox<\/span><span style=\"font-weight: 400;\">. You can interact with various types of questions so you know what to expect.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-level=\"1\"><b>Practice Tests: <\/b><span style=\"font-weight: 400;\">Once you are confident, attempt 3 to 5 full-length tests to assess your knowledge. These tests also help improve your time management skills so you don\u2019t leave any exam questions unanswered.<\/span><\/li>\n<\/ul>\n<ul>\n<li aria-level=\"1\"><b>Cheatsheet: <\/b><span style=\"font-weight: 400;\">Refer to the cheatsheet for last-minute preparation.<\/span><\/li>\n<\/ul>\n<h2><span class=\"ez-toc-section\" id=\"AI-300_Exam_Readiness_Checklist_Before_You_Book_the_Exam\"><\/span><b>AI-300 Exam Readiness Checklist Before You Book the Exam<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">You have completed your preparation and even managed a few modules in a simulated environment. But before scheduling your exam, make sure you are confident.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ask yourself a few questions to be sure you are actually ready:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Can I explain the MLOps lifecycle to my team so they can handle the development while I focus on management?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Am I comfortable with all the five <\/span><b>AI-300 exam domains<\/b><span style=\"font-weight: 400;\">,<\/span> <span style=\"font-weight: 400;\">or would I want to go back and take one last look?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Have I successfully completed enough hands-on labs, or would I want to try a few more and build my confidence?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Can I monitor AI performance issues and automate AI pipelines for my team?<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">If your answers reflect that you are ready for the exam, then it is time to schedule it. However, if your mind is leaning towards the other direction and you are unsure, take some more time. It is always better to be confident than attempt the certification exams in a rush.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"Final_Thoughts_How_to_Pass_the_AI-300_Exam\"><\/span><b>Final Thoughts: How to Pass the AI-300 Exam<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><span style=\"font-weight: 400;\">The Microsoft Machine Learning Operations (MLOps) Engineer Associate certification is about more than learning how to build models. It focuses on deploying, monitoring, managing, and optimising AI solutions throughout the model lifecycle. Since organisations are continuously adopting ML and GenAI, professionals who can manage the operations are becoming more valuable.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">But the key to <\/span><b>AI-300 MLOps Engineer exam preparation <\/b><span style=\"font-weight: 400;\">is focusing on both theory and hands-on practice. Take your time to understand every domain and be a part of hands-on labs. You can confidently prepare for the certification with a structured study plan and consistent practice.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Learn more about the <\/span><strong><a href=\"https:\/\/www.whizlabs.com\/ai-300-microsoft-machine-learning-operations-engineer-associate\/\">AI-300 certification preparation<\/a><\/strong><span style=\"font-weight: 400;\"> with <a title=\"Whizlabs\" href=\"https:\/\/www.whizlabs.com\/\" target=\"_blank\" rel=\"noopener\" data-schema-attribute=\"about mentions\"><strong>Whizlabs<\/strong><\/a>.<\/span><\/p>\n<h2><span class=\"ez-toc-section\" id=\"FAQs\"><\/span><b>FAQs<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><b>1. What is the cost of the AI-300 certification exam?<br \/>\n<\/b><span style=\"font-weight: 400;\">The exam fee is $165 USD.<\/span><\/p>\n<p><b>2. Do I need coding experience for the AI-300 exam?<br \/>\n<\/b><span style=\"font-weight: 400;\">The certification exam doesn\u2019t expect extensive programming knowledge, but basic familiarity can be helpful.<\/span><\/p>\n<p><b>3. Which certification should I pursue before the Microsoft MLOps Engineer Associate certification?<br \/>\n<\/b><span style=\"font-weight: 400;\">Although there is no prerequisite to earn the AI-300 certification, you can start with AI-900 if you want to build a strong foundation. This certification can help you understand the core concepts before you get into a hands-on experience with Azure Machine Learning.<\/span><\/p>\n<p><b>4. What is the duration of the AI-300 certification exam?<br \/>\n<\/b><span style=\"font-weight: 400;\">The exam duration is 120 minutes, during which you have to attempt 40 to 60 questions.<\/span><\/p>\n<p><b>5. Which new career opportunities will be available after the AI-300 certification?<br \/>\n<\/b><span style=\"font-weight: 400;\">You can apply for the post of Machine Learning Engineer, AI Engineer, MLOps Engineer, Generative AI Engineer, AI Platform Engineer, or Cloud AI Architect after the certification.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Companies often believe that building an ML model is the hardest part of an AI project. When the models are finally ready for deployment after weeks of effort, the team feels relieved. But once it is live, new challenges come up. Model performance changes as per the changing data, customer trends, and new technology. Companies must deploy the latest versions without affecting user experience. But who can set the processes in place and make sure the models run efficiently at all times? This is exactly where MLOps comes in. It helps you learn how to deploy, manage, monitor, and automate [&hellip;]<\/p>\n","protected":false},"author":441,"featured_media":101498,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[15],"tags":[5348,5349],"class_list":["post-101489","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-microsoft-azure","tag-ai-300-exam-preparation","tag-ai-300-study-plan"],"uagb_featured_image_src":{"full":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-MLOps-Engineer-Certification-Exam-Guide.webp",1200,628,false],"thumbnail":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-MLOps-Engineer-Certification-Exam-Guide-150x150.webp",150,150,true],"medium":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-MLOps-Engineer-Certification-Exam-Guide-300x157.webp",300,157,true],"medium_large":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-MLOps-Engineer-Certification-Exam-Guide-768x402.webp",768,402,true],"large":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-MLOps-Engineer-Certification-Exam-Guide-1024x536.webp",1024,536,true],"1536x1536":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-MLOps-Engineer-Certification-Exam-Guide.webp",1200,628,false],"2048x2048":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-MLOps-Engineer-Certification-Exam-Guide.webp",1200,628,false],"profile_24":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-MLOps-Engineer-Certification-Exam-Guide-24x24.webp",24,24,true],"profile_48":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-MLOps-Engineer-Certification-Exam-Guide-48x48.webp",48,48,true],"profile_96":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-MLOps-Engineer-Certification-Exam-Guide-96x96.webp",96,96,true],"profile_150":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-MLOps-Engineer-Certification-Exam-Guide-150x150.webp",150,150,true],"profile_300":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-MLOps-Engineer-Certification-Exam-Guide-300x300.webp",300,300,true],"tptn_thumbnail":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-MLOps-Engineer-Certification-Exam-Guide-250x250.webp",250,250,true],"web-stories-poster-portrait":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-MLOps-Engineer-Certification-Exam-Guide-640x628.webp",640,628,true],"web-stories-publisher-logo":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-MLOps-Engineer-Certification-Exam-Guide-96x96.webp",96,96,true],"web-stories-thumbnail":["https:\/\/www.whizlabs.com\/blog\/wp-content\/uploads\/2026\/07\/AI-300-MLOps-Engineer-Certification-Exam-Guide-150x79.webp",150,79,true]},"uagb_author_info":{"display_name":"Prabhu Subramanian","author_link":"https:\/\/www.whizlabs.com\/blog\/author\/prabhu-subramanian\/"},"uagb_comment_info":0,"uagb_excerpt":"Companies often believe that building an ML model is the hardest part of an AI project. When the models are finally ready for deployment after weeks of effort, the team feels relieved. But once it is live, new challenges come up. Model performance changes as per the changing data, customer trends, and new technology. Companies&hellip;","_links":{"self":[{"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/posts\/101489","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/users\/441"}],"replies":[{"embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/comments?post=101489"}],"version-history":[{"count":9,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/posts\/101489\/revisions"}],"predecessor-version":[{"id":101502,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/posts\/101489\/revisions\/101502"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/media\/101498"}],"wp:attachment":[{"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/media?parent=101489"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/categories?post=101489"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.whizlabs.com\/blog\/wp-json\/wp\/v2\/tags?post=101489"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}