{"id":674,"date":"2026-05-06T11:41:37","date_gmt":"2026-05-06T11:41:37","guid":{"rendered":"https:\/\/cotocus.cn\/blog\/?p=674"},"modified":"2026-05-06T11:41:39","modified_gmt":"2026-05-06T11:41:39","slug":"real-project-learning-approach-for-mlops-foundation-certification-preparation","status":"publish","type":"post","link":"https:\/\/cotocus.cn\/blog\/real-project-learning-approach-for-mlops-foundation-certification-preparation\/","title":{"rendered":"Real Project Learning Approach for MLOps Foundation Certification Preparation"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"767\" height=\"417\" src=\"https:\/\/cotocus.cn\/blog\/wp-content\/uploads\/2026\/05\/image-1.png\" alt=\"\" class=\"wp-image-675\" srcset=\"https:\/\/cotocus.cn\/blog\/wp-content\/uploads\/2026\/05\/image-1.png 767w, https:\/\/cotocus.cn\/blog\/wp-content\/uploads\/2026\/05\/image-1-300x163.png 300w\" sizes=\"auto, (max-width: 767px) 100vw, 767px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Introduction<\/h2>\n\n\n\n<p>In the current era of digital transformation, the gap between developing a machine learning model and deploying it into a functional production environment is being bridged by standardized operations. The <strong><a href=\"https:\/\/aiopsschool.com\/certifications\/mlops-foundation-certification.html\" data-type=\"link\" data-id=\"https:\/\/aiopsschool.com\/certifications\/mlops-foundation-certification.html\">MLOps Foundation Certification<\/a><\/strong> is recognized as a vital step for professionals who aim to master this integration. <\/p>\n\n\n\n<p>The complexities of maintaining artificial intelligence at scale require a disciplined approach. When models are moved from a local notebook to a global server, many challenges regarding data consistency and performance monitoring are encountered. This guide is designed to provide a fresh perspective on how this foundational certification prepares engineers for the industrialization of machine learning.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">Defining the MLOps Foundation Credential<\/h3>\n\n\n\n<p>The MLOps Foundation Certification is established as a professional benchmark for those entering the field of machine learning operations. It is focused on the collaborative framework required to unite data science and software engineering. Fundamental concepts, including the automation of model deployments and the management of data pipelines, are thoroughly validated through this program.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Why it matters today?<\/strong><\/h3>\n\n\n\n<p>In the present technological climate, the mere creation of a machine learning model is insufficient for business success. Models must be reliable, scalable, and easily updated as new data becomes available. MLOps is viewed as the essential methodology that ensures these requirements are met.<\/p>\n\n\n\n<p>Operational excellence is achieved when manual processes are replaced by automated systems. Risks of model failure are significantly reduced when rigorous monitoring and versioning are applied. Because organizations are increasingly dependent on automated decision-making, the ability to manage these systems is considered a critical asset in the job market.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">The Significance of Professional MLOps Validation<\/h3>\n\n\n\n<p>Credibility within the tech industry is often built upon recognized credentials. For professionals, earning a certification serves as formal evidence that global standards in machine learning operations are understood.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Standardized Workflows:<\/strong> A unified approach is adopted for teams working across different technical domains.<\/li>\n\n\n\n<li><strong>Enhanced Employability:<\/strong> New career paths are opened as companies seek specialists who can handle the operational side of AI.<\/li>\n\n\n\n<li><strong>Increased Reliability:<\/strong> Systems are built with a focus on stability, reducing the likelihood of production errors.<\/li>\n\n\n\n<li><strong>Efficiency Gains:<\/strong> Time-to-market for new models is shortened through the application of CI\/CD principles to machine learning.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">Why Choose AIOps School?<\/h3>\n\n\n\n<p>Education in specialized fields is best obtained from institutions that focus on practical application. At <strong><a href=\"https:\/\/aiopsschool.com\/\" data-type=\"link\" data-id=\"https:\/\/aiopsschool.com\/\">AIOps School<\/a><\/strong>, the curriculum is developed to reflect the actual challenges faced in the industry. Complex technical theories are broken down into simple, manageable lessons that are easy for any professional to follow.<\/p>\n\n\n\n<p>A supportive learning environment is provided, ensuring that every student has access to the resources needed for success. High-quality study materials and realistic practice environments are offered to ensure that the certification exam is approached with confidence. The institution is widely respected for its commitment to bridging the gap between academic learning and professional execution.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">Certification Deep-Dive: MLOps Foundation Certification<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>What is this certification?<\/strong><\/h4>\n\n\n\n<p>The MLOps Foundation Certification is an introductory program that confirms a candidate&#8217;s ability to support the lifecycle of machine learning models. It is built to ensure that the fundamental stages of model development, deployment, and maintenance are clearly understood.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Who should take this certification?<\/strong><\/h4>\n\n\n\n<p>This track is highly recommended for Software Developers, System Administrators, and Junior Data Scientists who wish to specialize in the operational aspects of AI. It is also beneficial for Project Managers who require a technical understanding of the AI delivery pipeline.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Summary of Certification Tracks<\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><td><strong>Track<\/strong><\/td><td><strong>Level<\/strong><\/td><td><strong>Intended Audience<\/strong><\/td><td><strong>Prerequisites<\/strong><\/td><td><strong>Core Competencies<\/strong><\/td><td><strong>Suggested Sequence<\/strong><\/td><\/tr><\/thead><tbody><tr><td>MLOps<\/td><td>Foundational<\/td><td>Aspiring Engineers<\/td><td>Basic Computing<\/td><td>Lifecycle Management<\/td><td>1st<\/td><\/tr><tr><td>AIOps<\/td><td>Advanced<\/td><td>Experienced DevOps<\/td><td>MLOps Foundation<\/td><td>Intelligence in Ops<\/td><td>2nd<\/td><\/tr><tr><td>DataOps<\/td><td>Foundational<\/td><td>Data Specialists<\/td><td>Database Basics<\/td><td>Pipeline Security<\/td><td>Optional<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Skills you will gain<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The entire machine learning workflow is mastered from start to finish.<\/li>\n\n\n\n<li>Automation techniques for model retraining are learned and applied.<\/li>\n\n\n\n<li>Version control for both code and datasets is implemented.<\/li>\n\n\n\n<li>Scalable infrastructure for AI workloads is configured.<\/li>\n\n\n\n<li>Performance metrics for production models are monitored effectively.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Real-world projects you should be able to do after this certification<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A fully automated CI\/CD pipeline for a machine learning model is constructed.<\/li>\n\n\n\n<li>A robust logging and alerting system for model health is designed.<\/li>\n\n\n\n<li>Data pipelines are optimized for high-speed processing and reliability.<\/li>\n\n\n\n<li>Collaborative environments for data scientists and operations teams are established.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Structured Preparation Strategies<\/h4>\n\n\n\n<p><strong>7\u201314 Days Strategy (High Intensity)<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>First Half:<\/strong> Theoretical foundations and the ML lifecycle are studied.<\/li>\n\n\n\n<li><strong>Second Half:<\/strong> Automated deployment tools are reviewed, followed by intensive practice exams.<\/li>\n<\/ul>\n\n\n\n<p><strong>30 Days Strategy (Standard Approach)<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Weeks 1-2:<\/strong> Core concepts and data management techniques are explored.<\/li>\n\n\n\n<li><strong>Week 3:<\/strong> Practical labs focusing on monitoring and automation are completed.<\/li>\n\n\n\n<li><strong>Week 4:<\/strong> Mock tests are utilized to identify and correct knowledge gaps.<\/li>\n<\/ul>\n\n\n\n<p><strong>60 Days Strategy (Comprehensive Learning)<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Month 1:<\/strong> A deep dive into every syllabus topic is conducted through extensive reading and video lessons.<\/li>\n\n\n\n<li><strong>Month 2:<\/strong> Real-world scenarios are simulated, and thorough exam preparation is finalized.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Common mistakes to avoid<\/strong><\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The focus is often placed too heavily on the model while ignoring the underlying data.<\/li>\n\n\n\n<li>Security protocols within the pipeline are sometimes overlooked.<\/li>\n\n\n\n<li>The exam is occasionally attempted without sufficient practical lab experience.<\/li>\n\n\n\n<li>Continuous monitoring is frequently neglected in favor of deployment speed.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\">Recommended Progression After Foundation<\/h4>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Same-Track:<\/strong> MLOps Professional Specialist.<\/li>\n\n\n\n<li><strong>Cross-Track:<\/strong> DevSecOps Foundation.<\/li>\n\n\n\n<li><strong>Leadership Track:<\/strong> Director of AI Operations.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">Selecting Your Professional Learning Path<\/h3>\n\n\n\n<p><strong>The DevOps Engineering Path<\/strong><\/p>\n\n\n\n<p>Traditional software delivery skills are expanded to include machine learning artifacts. The focus is placed on integrating model updates into existing deployment cycles without disruption.<\/p>\n\n\n\n<p><strong>The DevSecOps Engineering Path<\/strong><\/p>\n\n\n\n<p>Security is woven into the fabric of the AI lifecycle. It is ensured that data privacy and model integrity are maintained at every stage of the process.<\/p>\n\n\n\n<p><strong>The Site Reliability Engineering (SRE) Path<\/strong><\/p>\n\n\n\n<p>System uptime and model performance are prioritized. Strategies for managing the reliability of complex AI-driven services are developed.<\/p>\n\n\n\n<p><strong>The AIOps and MLOps Path<\/strong><\/p>\n\n\n\n<p>Advanced automation is used to manage IT operations. A specialized focus on the unique operational demands of artificial intelligence is maintained.<\/p>\n\n\n\n<p><strong>The DataOps Management Path<\/strong><\/p>\n\n\n\n<p>Data quality and delivery speed are the primary concerns. The alignment between data engineering and machine learning is strengthened to ensure consistent results.<\/p>\n\n\n\n<p><strong>The FinOps Financial Path<\/strong><\/p>\n\n\n\n<p>The costs associated with cloud-based AI resources are optimized. Financial efficiency is balanced with technical performance to ensure sustainable AI projects.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">Role \u2192 Recommended Certification Alignment<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><td><strong>Professional Role<\/strong><\/td><td><strong>Suggested Certification<\/strong><\/td><\/tr><\/thead><tbody><tr><td>DevOps Engineer<\/td><td>MLOps Foundation<\/td><\/tr><tr><td>Site Reliability Engineer<\/td><td>SRE Master<\/td><\/tr><tr><td>Platform Engineer<\/td><td>Infrastructure Automation<\/td><\/tr><tr><td>Cloud Architect<\/td><td>Cloud Operations Specialist<\/td><\/tr><tr><td>Security Analyst<\/td><td>DevSecOps Certified<\/td><\/tr><tr><td>Data Engineer<\/td><td>DataOps Professional<\/td><\/tr><tr><td>Cost Analyst<\/td><td>FinOps Certified<\/td><\/tr><tr><td>IT Manager<\/td><td>AI Strategy Leader<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Next Certifications to Take<\/strong><\/h3>\n\n\n\n<p><strong><strong>Same track<\/strong><\/strong><\/p>\n\n\n\n<p>In-depth knowledge of large-scale model governance is provided. This is designed for those who manage high-volume AI environments.<\/p>\n\n\n\n<p><strong><strong>Cross-track<\/strong><\/strong><\/p>\n\n\n\n<p>The use of AI to predict and prevent system failures is mastered. This cross-track certification is ideal for senior operations engineers.<\/p>\n\n\n\n<p><strong><strong>Leadership<\/strong><\/strong><\/p>\n\n\n\n<p>Leadership abilities are refined to oversee the implementation of AI across an entire organization. Strategic planning and team building are emphasized.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">Support and Training Organizations<\/h3>\n\n\n\n<p><strong>DevOpsSchool<\/strong><\/p>\n\n\n\n<p>Comprehensive training in automation and software delivery is provided. A wide range of resources and expert guidance is available for all technical levels.<\/p>\n\n\n\n<p><strong>Cotocus<\/strong><\/p>\n\n\n\n<p>Professional consulting and customized training solutions are delivered. The focus is kept on practical skills that can be immediately applied in a corporate setting.<\/p>\n\n\n\n<p><strong>ScmGalaxy<\/strong><\/p>\n\n\n\n<p>An extensive community for software configuration management is maintained. Detailed guides and forums are provided to help engineers stay current.<\/p>\n\n\n\n<p><strong>BestDevOps<\/strong><\/p>\n\n\n\n<p>Educational programs focused on the best practices of modern operations are offered. The curriculum is designed to be accessible and highly practical.<\/p>\n\n\n\n<p><strong>devsecopsschool.com<\/strong><\/p>\n\n\n\n<p>A platform dedicated to the integration of security within the DevOps lifecycle is managed. Targeted training for secure software development is provided.<\/p>\n\n\n\n<p><strong>sreschool.com<\/strong><\/p>\n\n\n\n<p>The principles of reliability engineering are taught with a focus on large-scale systems. Skills for maintaining high system availability are developed here.<\/p>\n\n\n\n<p><strong>aiopsschool.com<\/strong><\/p>\n\n\n\n<p>Specialized education in AI-driven operations is delivered. This is the primary institution for earning the MLOps Foundation Certification.<\/p>\n\n\n\n<p><strong>dataopsschool.com<\/strong><\/p>\n\n\n\n<p>The flow of data from source to model is optimized through targeted training. Efficiency and quality in data management are the core focuses.<\/p>\n\n\n\n<p><strong>finopsschool.com<\/strong><\/p>\n\n\n\n<p>The financial management of cloud resources is mastered. Professionals are taught to maximize the value of their cloud investments.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">General Certification Frequently Asked Questions<\/h3>\n\n\n\n<p><strong>1. How difficult is the MLOps Foundation exam for a beginner?<\/strong><\/p>\n\n\n\n<p>The exam is designed to be approachable for anyone with a basic understanding of IT. It is considered a fair assessment of foundational knowledge.<\/p>\n\n\n\n<p><strong>2. What is the typical duration for exam preparation?<\/strong><\/p>\n\n\n\n<p>A period of 30 days is usually sufficient for most candidates to feel fully prepared.<\/p>\n\n\n\n<p><strong>3. Are there mandatory requirements before taking the test?<\/strong><\/p>\n\n\n\n<p>No formal prerequisites are enforced, but some familiarity with the software lifecycle is helpful.<\/p>\n\n\n\n<p><strong>4. What is the ideal order for these certifications?<\/strong><\/p>\n\n\n\n<p>It is recommended that the MLOps Foundation be completed before attempting more advanced or specialized tracks.<\/p>\n\n\n\n<p><strong>5. How does this credential impact salary growth?<\/strong><\/p>\n\n\n\n<p>Certified professionals often see a positive impact on their earnings due to the high demand for specialized AI skills.<\/p>\n\n\n\n<p><strong>6. Which roles benefit the most from this program?<\/strong><\/p>\n\n\n\n<p>Engineers, developers, and data workers find the most immediate practical use for this certification.<\/p>\n\n\n\n<p><strong>7. Is the certification exam conducted in person?<\/strong><\/p>\n\n\n\n<p>The exam is accessible online through a proctored environment for maximum convenience.<\/p>\n\n\n\n<p><strong>8. How frequently must the certification be renewed?<\/strong><\/p>\n\n\n\n<p>Renewal is generally suggested every two to three years to ensure that current industry standards are maintained.<\/p>\n\n\n\n<p><strong>9. Are study guides provided by the institution?<\/strong><\/p>\n\n\n\n<p>Yes, all registered students are given access to detailed study materials and practice resources.<\/p>\n\n\n\n<p><strong>10. Is this certification useful for non-technical managers?<\/strong><\/p>\n\n\n\n<p>Yes, it provides the technical context needed to make informed decisions and manage engineering teams effectively.<\/p>\n\n\n\n<p><strong>11. Is there a focus on any specific cloud provider?<\/strong><\/p>\n\n\n\n<p>The principles taught are universal and can be applied across various cloud platforms like AWS, Azure, or Google Cloud.<\/p>\n\n\n\n<p><strong>12. Is the credential recognized internationally?<\/strong><\/p>\n\n\n\n<p>Yes, the certification is valued by employers in global markets, including India and the United States.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">MLOps Foundation Specific Frequently Asked Questions<\/h3>\n\n\n\n<p><strong>1. What are the primary pillars of the MLOps Foundation curriculum?<\/strong><\/p>\n\n\n\n<p>The pillars include automation, communication, monitoring, and data governance.<\/p>\n\n\n\n<p><strong>2. What format is used for the exam questions?<\/strong><\/p>\n\n\n\n<p>Multiple-choice questions are used to evaluate both conceptual knowledge and practical logic.<\/p>\n\n\n\n<p><strong>3. Is laboratory work essential for passing?<\/strong><\/p>\n\n\n\n<p>While the exam is foundational, completing hands-on labs is the best way to ensure the concepts are fully understood.<\/p>\n\n\n\n<p><strong>4. What is the minimum score required to pass?<\/strong><\/p>\n\n\n\n<p>A score of 70% is typically required for a successful attempt.<\/p>\n\n\n\n<p><strong>5. What happens if the exam is not passed on the first try?<\/strong><\/p>\n\n\n\n<p>Procedures for retaking the exam are available, usually after a brief period of additional study.<\/p>\n\n\n\n<p><strong>6. Does this certification cover deep learning?<\/strong><\/p>\n\n\n\n<p>The focus is on the operational management of all machine learning models, including deep learning, rather than the internal math of the models.<\/p>\n\n\n\n<p><strong>7. How is this different from a Data Science certification?<\/strong><\/p>\n\n\n\n<p>Data science focuses on building models, while MLOps focuses on the infrastructure and pipelines that keep those models running.<\/p>\n\n\n\n<p><strong>8. Is the official study guide available before registration?<\/strong><\/p>\n\n\n\n<p>General information is available, but the complete guide is unlocked once the enrollment process is finalized.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">Professional Feedback<\/h3>\n\n\n\n<p><strong>Sofia<\/strong><\/p>\n\n\n\n<p>The ability to automate model retraining was a major takeaway from this course. A very clear path was provided that helped in streamlining our internal processes.<\/p>\n\n\n\n<p><strong>Liam<\/strong><\/p>\n\n\n\n<p>Confidence in managing production AI systems was significantly boosted. The lessons were easy to follow and the practical focus was exactly what was needed.<\/p>\n\n\n\n<p><strong>Meera<\/strong><\/p>\n\n\n\n<p>A deeper understanding of data versioning was gained, which has greatly improved the reproducibility of our projects. This certification is highly recommended for all engineers.<\/p>\n\n\n\n<p><strong>Lucas<\/strong><\/p>\n\n\n\n<p>The transition into an MLOps role was made much smoother. The core concepts are taught in a way that is both professional and easy to grasp.<\/p>\n\n\n\n<p><strong>Zara<\/strong><\/p>\n\n\n\n<p>The strategic importance of monitoring was highlighted throughout the program. This has led to much better communication between our data and operations teams.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">Conclusion<\/h3>\n\n\n\n<p>The MLOps Foundation Certification is an invaluable asset for those who wish to lead the charge in the operationalization of artificial intelligence. By successfully completing this program, a robust understanding of the modern AI lifecycle is demonstrated. Long-term benefits include career stability, enhanced professional status, and the ability to solve complex technical challenges. Careful planning and a commitment to continuous learning are encouraged for all professionals in this space.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Introduction In the current era of digital transformation, the gap between developing a machine learning model and deploying it into a functional production environment is being bridged by standardized operations.&hellip;<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[154,200,80,199],"class_list":["post-674","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-devopslearning","tag-machinelearningoperations","tag-mlopscertification","tag-mlopsfoundationcertification"],"_links":{"self":[{"href":"https:\/\/cotocus.cn\/blog\/wp-json\/wp\/v2\/posts\/674","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cotocus.cn\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cotocus.cn\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cotocus.cn\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/cotocus.cn\/blog\/wp-json\/wp\/v2\/comments?post=674"}],"version-history":[{"count":1,"href":"https:\/\/cotocus.cn\/blog\/wp-json\/wp\/v2\/posts\/674\/revisions"}],"predecessor-version":[{"id":676,"href":"https:\/\/cotocus.cn\/blog\/wp-json\/wp\/v2\/posts\/674\/revisions\/676"}],"wp:attachment":[{"href":"https:\/\/cotocus.cn\/blog\/wp-json\/wp\/v2\/media?parent=674"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cotocus.cn\/blog\/wp-json\/wp\/v2\/categories?post=674"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cotocus.cn\/blog\/wp-json\/wp\/v2\/tags?post=674"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}