{"id":3874,"date":"2026-05-11T09:50:22","date_gmt":"2026-05-11T09:50:22","guid":{"rendered":"https:\/\/bestpilotsschool.com\/blog\/?p=3874"},"modified":"2026-05-11T09:50:26","modified_gmt":"2026-05-11T09:50:26","slug":"develop-future-ready-operations-expertise-with-certified-aiops-architect","status":"publish","type":"post","link":"https:\/\/bestpilotsschool.com\/blog\/develop-future-ready-operations-expertise-with-certified-aiops-architect\/","title":{"rendered":"Develop Future-Ready Operations Expertise with Certified AIOps Architect"},"content":{"rendered":"\n
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Introduction<\/h2>\n\n\n\n

The Certified AIOps Architect<\/strong> program represents a vital evolution for modern technologists aiming to master the intersection of artificial intelligence and systems management. This guide serves as a strategic roadmap for DevOps practitioners, SREs, and cloud leaders who recognize that traditional manual operations cannot keep pace with distributed architectures. By integrating algorithmic intelligence into the heart of the infrastructure, professionals can achieve unprecedented levels of system resilience and operational efficiency. Through the Certified AIOps Architect<\/strong> curriculum, learners gain the specific expertise required to deploy self-healing environments and predictive analytics. This resource, provided by aiopsschool<\/strong>, ensures you have the necessary clarity to accelerate your career trajectory in a data-driven world.<\/p>\n\n\n\n

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What is the Certified AIOps Architect?<\/h2>\n\n\n\n

The Certified AIOps Architect is an elite credential designed to validate an engineer’s proficiency in building AI-powered operational frameworks. It moves beyond standard automation by focusing on how big data, machine learning, and streaming telemetry can be harnessed to manage complex IT ecosystems. The program prioritizes real-world application, ensuring that architects can move from simple monitoring to intelligent observability that anticipates failures before they occur. It aligns with the shift toward autonomous infrastructure, providing a structured approach to implementing intelligence across the entire enterprise software stack.<\/p>\n\n\n\n

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Who Should Pursue Certified AIOps Architect?<\/h2>\n\n\n\n

This pathway is specifically tailored for senior infrastructure engineers, platform architects, and site reliability specialists who manage high-concurrency applications. It also serves as a bridge for data scientists wanting to specialize in IT telemetry and for technical directors responsible for modernizing legacy operations departments. Whether you are navigating the competitive tech landscape in India or leading a global engineering initiative, this certification provides the high-level skills needed to manage scale. Even motivated specialists with a solid grasp of automation and cloud fundamentals will find this a powerful tool for professional advancement.<\/p>\n\n\n\n

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Why Certified AIOps Architect is Valuable and Beyond<\/h2>\n\n\n\n

As infrastructure grows increasingly ephemeral and complex, the demand for architects who can implement “intelligent” guardrails is soaring. This certification offers long-term career security by moving professionals away from repetitive tasks and toward high-value architectural design. Companies are actively seeking experts who can reduce operational noise, lower infrastructure costs, and improve system uptime through advanced pattern recognition. By mastering these competencies, you ensure your relevance in a market that is rapidly transitioning from human-led to AI-assisted operational models.<\/p>\n\n\n\n

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Certified AIOps Architect Certification Overview<\/h2>\n\n\n\n

The program is administered through a dedicated Certified AIOps Architect<\/strong><\/a> and hosted on the aiopsschool<\/strong><\/a> website. The evaluation process is designed to be rigorous, combining conceptual deep dives with intensive, hands-on lab environments that simulate production outages. The certification structure encompasses the full spectrum of AI-driven operations, including data normalization, algorithmic clustering, and automated incident remediation. Governed by industry veterans, the program is constantly refined to include the latest breakthroughs in deep learning and real-time telemetry processing.<\/p>\n\n\n\n

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Certified AIOps Architect Certification Tracks & Levels<\/h2>\n\n\n\n

The certification journey is divided into three progressive stages: Foundation, Professional, and Advanced. The Foundation tier establishes a baseline for data-driven operations, while the Professional tier focuses on the deployment of specific ML models for anomaly detection. The Advanced tier is aimed at those responsible for cross-domain orchestration, encompassing DevOps, SRE, and FinOps into a unified intelligent strategy. These tiers allow for a customized learning experience that matches an individual\u2019s current technical depth and their future aspirations in leadership.<\/p>\n\n\n\n

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Complete Certified AIOps Architect Certification Table<\/h2>\n\n\n\n
Track<\/strong><\/td>Level<\/strong><\/td>Who it\u2019s for<\/strong><\/td>Prerequisites<\/strong><\/td>Skills Covered<\/strong><\/td>Recommended Order<\/strong><\/td><\/tr><\/thead>
Core Ops<\/td>Foundation<\/td>Junior Architects<\/td>Scripting Basics<\/td>Noise Reduction, Logs<\/td>1<\/td><\/tr>
Implementation<\/td>Professional<\/td>Senior Engineers<\/td>Foundation Level<\/td>ML for Ops, Remediation<\/td>2<\/td><\/tr>
Enterprise<\/td>Advanced<\/td>Principal Leads<\/td>Professional Level<\/td>ROI Analysis, Governance<\/td>3<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
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Detailed Guide for Each Certified AIOps Architect Certification<\/h2>\n\n\n\n

Certified AIOps Architect \u2013 Foundation<\/h3>\n\n\n\n

What it is<\/strong><\/p>\n\n\n\n

This certification confirms a practitioner’s understanding of the AIOps landscape, the necessity of big data in modern IT, and the fundamental concepts of event correlation.<\/p>\n\n\n\n

Who should take it<\/strong><\/p>\n\n\n\n

It is perfect for IT administrators or cloud associates who wish to move beyond legacy monitoring and understand the future of intelligent systems management.<\/p>\n\n\n\n

Skills you\u2019ll gain<\/strong><\/p>\n\n\n\n

    \n
  • Mastery of high-volume data ingestion techniques.<\/li>\n\n\n\n
  • Understanding the lifecycle of an incident in an AI-driven environment.<\/li>\n\n\n\n
  • Basic knowledge of predictive analytics for system capacity.<\/li>\n<\/ul>\n\n\n\n

    Real-world projects you should be able to do<\/strong><\/p>\n\n\n\n

      \n
    • Design a centralized telemetry pipeline for a multi-cloud application.<\/li>\n\n\n\n
    • Implement basic event deduplication to reduce alert fatigue.<\/li>\n<\/ul>\n\n\n\n

      Preparation plan<\/strong><\/p>\n\n\n\n

        \n
      • 7-14 Days:<\/strong> Study the core terminology and the evolution of operations from manual to autonomous.<\/li>\n\n\n\n
      • 30 Days:<\/strong> Work through virtual labs focused on data normalization and basic visualization.<\/li>\n\n\n\n
      • 60 Days:<\/strong> Analyze industry whitepapers on AIOps adoption and pass comprehensive mock exams.<\/li>\n<\/ul>\n\n\n\n

        Common mistakes<\/strong><\/p>\n\n\n\n

          \n
        • Focusing too much on specific tool interfaces rather than the underlying data logic.<\/li>\n\n\n\n
        • Underestimating the importance of clean data sources.<\/li>\n<\/ul>\n\n\n\n

          Best next certification after this<\/strong><\/p>\n\n\n\n

            \n
          • Same-track option:<\/strong> Certified AIOps Architect \u2013 Professional<\/li>\n\n\n\n
          • Cross-track option:<\/strong> Cloud Solutions Architect<\/li>\n\n\n\n
          • Leadership option:<\/strong> Project Management Professional<\/li>\n<\/ul>\n\n\n\n
            \n\n\n\n

            Certified AIOps Architect \u2013 Professional<\/h3>\n\n\n\n

            What it is<\/strong><\/p>\n\n\n\n

            This level validates the ability to engineer and optimize AIOps engines that perform real-time root cause analysis and automated system recovery.<\/p>\n\n\n\n

            Who should take it<\/strong><\/p>\n\n\n\n

            This is for seasoned DevOps engineers and SREs who are currently overseeing complex, high-traffic environments and require advanced automation.<\/p>\n\n\n\n

            Skills you\u2019ll gain<\/strong><\/p>\n\n\n\n

              \n
            • Tuning machine learning models for IT infrastructure metrics.<\/li>\n\n\n\n
            • Building closed-loop automation for recurring system issues.<\/li>\n\n\n\n
            • Advanced troubleshooting using AI-assisted observability platforms.<\/li>\n<\/ul>\n\n\n\n

              Real-world projects you should be able to do<\/strong><\/p>\n\n\n\n

                \n
              • Create an automated remediation workflow that resolves 30% of common alerts.<\/li>\n\n\n\n
              • Implement a predictive scaling policy based on historical traffic patterns.<\/li>\n<\/ul>\n\n\n\n

                Preparation plan<\/strong><\/p>\n\n\n\n

                  \n
                • 7-14 Days:<\/strong> Review the mathematical foundations of clustering and regression in an IT context.<\/li>\n\n\n\n
                • 30 Days:<\/strong> Complete advanced lab scenarios involving simulated production failures and AI recovery.<\/li>\n\n\n\n
                • 60 Days:<\/strong> Focus on the integration of AIOps with existing ITSM and CI\/CD tools.<\/li>\n<\/ul>\n\n\n\n

                  Common mistakes<\/strong><\/p>\n\n\n\n

                    \n
                  • Over-automating without first establishing manual reliability baselines.<\/li>\n\n\n\n
                  • Ignoring the “human-in-the-loop” requirement for critical system changes.<\/li>\n<\/ul>\n\n\n\n

                    Best next certification after this<\/strong><\/p>\n\n\n\n

                      \n
                    • Same-track option:<\/strong> Certified AIOps Architect \u2013 Advanced<\/li>\n\n\n\n
                    • Cross-track option:<\/strong> Big Data Speciality<\/li>\n\n\n\n
                    • Leadership option:<\/strong> Chief Technology Officer (CTO) Roadmap<\/li>\n<\/ul>\n\n\n\n
                      \n\n\n\n

                      Choose Your Learning Path<\/h2>\n\n\n\n

                      DevOps Path<\/h3>\n\n\n\n

                      The DevOps path focuses on infusing intelligence into the software delivery lifecycle. Engineers learn to use AI to analyze deployment risks, monitor the health of new releases in real-time, and automate the rollback of unstable code. It transforms the pipeline into a self-correcting mechanism that improves deployment frequency while reducing failure rates.<\/p>\n\n\n\n

                      DevSecOps Path<\/h3>\n\n\n\n

                      This specialization applies AIOps to the realm of proactive security. Professionals learn to detect subtle behavioral anomalies that indicate a breach or a vulnerability exploit. By using AI to filter security events, teams can prioritize actual threats over background noise, ensuring a more resilient and secure infrastructure.<\/p>\n\n\n\n

                      SRE Path<\/h3>\n\n\n\n

                      The SRE path emphasizes system reliability and the reduction of manual labor. It uses AIOps to maintain Service Level Objectives (SLOs) through automated incident management and deep diagnostic insights. This path is crucial for those tasked with maintaining the stability of globally distributed, high-availability services.<\/p>\n\n\n\n

                      AIOps Path<\/h3>\n\n\n\n

                      This is the foundational path for those building the intelligence platform itself. It covers the end-to-end architecture of an AIOps solution, from data collection and storage to model training and orchestration. It is designed for the architects who will define the future of their organization\u2019s operational brain.<\/p>\n\n\n\n

                      MLOps Path<\/h3>\n\n\n\n

                      The MLOps path bridges the gap between data science and IT operations. It teaches engineers how to manage the lifecycle of machine learning models with the same rigor used for traditional software. This ensures that the models powering the AIOps engine are always accurate, updated, and performant.<\/p>\n\n\n\n

                      DataOps Path<\/h3>\n\n\n\n

                      DataOps is dedicated to the health of the data pipelines that fuel AI. It focuses on ensuring that telemetry is consistent, high-quality, and delivered in real-time. This path is essential because the effectiveness of any AIOps strategy is entirely dependent on the integrity of the data it consumes.<\/p>\n\n\n\n

                      FinOps Path<\/h3>\n\n\n\n

                      The FinOps path leverages AI to bring financial accountability to the cloud. By using predictive models to analyze spending patterns, engineers can automate cost-saving measures and provide accurate budget forecasts. This path ensures that technical scaling does not lead to uncontrollable financial overhead.<\/p>\n\n\n\n

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                      Role \u2192 Recommended Certified AIOps Architect Certifications<\/h2>\n\n\n\n
                      Role<\/strong><\/td>Recommended Certifications<\/strong><\/td><\/tr><\/thead>
                      DevOps Engineer<\/td>AIOps Professional<\/td><\/tr>
                      SRE<\/td>AIOps Professional + SRE Specialization<\/td><\/tr>
                      Platform Engineer<\/td>AIOps Foundation + Professional<\/td><\/tr>
                      Cloud Engineer<\/td>AIOps Foundation<\/td><\/tr>
                      Security Engineer<\/td>AIOps DevSecOps Track<\/td><\/tr>
                      Data Engineer<\/td>AIOps DataOps Track<\/td><\/tr>
                      FinOps Practitioner<\/td>AIOps FinOps Track<\/td><\/tr>
                      Engineering Manager<\/td>AIOps Foundation + Advanced<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
                      \n\n\n\n

                      Next Certifications to Take After Certified AIOps Architect<\/h2>\n\n\n\n

                      Same Track Progression<\/h3>\n\n\n\n

                      Following the Architect level, the next logical step is moving toward senior consulting or principal engineering roles. This involves mastering the latest in generative AI for operations, where LLMs are used to generate post-mortem reports and synthesize complex log data into actionable insights for the business.<\/p>\n\n\n\n

                      Cross-Track Expansion<\/h3>\n\n\n\n

                      Gaining expertise in MLOps or Big Data engineering provides a comprehensive view of how intelligent systems operate. Understanding the data transformation layer allows you to design more efficient AIOps engines, making you a versatile leader capable of managing both data teams and operations teams.<\/p>\n\n\n\n

                      Leadership & Management Track<\/h3>\n\n\n\n

                      For those transitioning into senior management, the focus shifts toward strategic alignment and organizational change. An Advanced AIOps certification prepares you for roles like VP of Infrastructure or Head of Operations, where you use technical insights to drive high-level business efficiency and cost reduction.<\/p>\n\n\n\n

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                      Training & Certification Support Providers for Certified AIOps Architect<\/h2>\n\n\n\n

                      DevOpsSchool<\/strong><\/p>\n\n\n\n

                      An established leader in technical education, providing comprehensive bootcamps and certifications that help engineers master the entire DevOps toolchain and modern operational methodologies with a hands-on focus.<\/p>\n\n\n\n

                      Cotocus<\/strong><\/p>\n\n\n\n

                      This provider offers specialized training and consulting services designed to simplify complex cloud and infrastructure concepts through expert-led sessions and practical, real-world lab environments.<\/p>\n\n\n\n

                      Scmgalaxy<\/strong><\/p>\n\n\n\n

                      A major hub for technical resources and community learning, offering in-depth tutorials and certification support for professionals specializing in configuration management, CI\/CD, and integrated operations.<\/p>\n\n\n\n

                      BestDevOps<\/strong><\/p>\n\n\n\n

                      Dedicated to excellence in DevOps education, this provider focuses on the most relevant and high-demand skills in the industry, helping practitioners stay ahead of the curve in a rapidly changing market.<\/p>\n\n\n\n

                      devsecopsschool<\/strong><\/p>\n\n\n\n

                      A specialized institution focusing on the critical integration of security into the DevOps lifecycle, providing the skills needed to build and manage secure, automated infrastructure at scale.<\/p>\n\n\n\n

                      sreschool<\/strong><\/p>\n\n\n\n

                      This school provides a dedicated curriculum for site reliability engineering, focusing on the principles of high availability, error budgeting, and the elimination of operational toil through intelligent automation.<\/p>\n\n\n\n

                      aiopsschool<\/strong><\/p>\n\n\n\n

                      The premier destination for AIOps-specific training, offering the official certification paths and the architectural knowledge required to lead AI-driven digital transformation initiatives.<\/p>\n\n\n\n

                      dataopsschool<\/strong><\/p>\n\n\n\n

                      Focused on the reliability and velocity of data systems, this provider teaches engineers how to build and manage the resilient data pipelines that are necessary for any successful AI or AIOps implementation.<\/p>\n\n\n\n

                      finopsschool<\/strong><\/p>\n\n\n\n

                      This organization provides specialized training in cloud financial management, helping professionals use data and automation to optimize cloud spend and maximize the business value of infrastructure investments.<\/p>\n\n\n\n

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                      Frequently Asked Questions (General)<\/h2>\n\n\n\n
                        \n
                      1. How long does the Certified AIOps Architect certification remain valid?<\/strong>The certification is typically valid for two to three years, reflecting the fast-paced changes in AI technology and industry best practices.<\/li>\n\n\n\n
                      2. Is it possible to complete the training while working full-time?<\/strong>Yes, the courses are designed with working professionals in mind, offering flexible schedules and self-paced learning options for those in busy roles.<\/li>\n\n\n\n
                      3. What kind of salary increase can I expect after certification?<\/strong>While it varies by region, certified architects often command a premium due to the scarcity of specialists who can bridge AI and infrastructure operations.<\/li>\n\n\n\n
                      4. Does the exam focus more on theory or practical skills?<\/strong>The program is heavily weighted toward practical application, with a significant portion of the assessment requiring the completion of tasks in a live lab environment.<\/li>\n\n\n\n
                      5. Are there any specific coding languages I should learn beforehand?<\/strong>A working knowledge of Python is highly beneficial, as it is the primary language used for data manipulation and AI model integration.<\/li>\n\n\n\n
                      6. How does this certification compare to a general data science degree?<\/strong>While a data science degree is broad, this certification is laser-focused on applying data science specifically to IT operations and infrastructure.<\/li>\n\n\n\n
                      7. Is there an annual fee to maintain the certification?<\/strong>Generally, there are no annual fees; maintenance is usually handled through continuing education credits or passing a renewal exam.<\/li>\n\n\n\n
                      8. Can this certification help me move into a leadership role?<\/strong>Yes, it provides the technical authority and strategic oversight required for roles such as Technical Lead, Architect, or Engineering Manager.<\/li>\n\n\n\n
                      9. What is the primary benefit for an organization to have certified staff?<\/strong>Organizations benefit from reduced incident response times, lower operational costs, and a more stable, self-healing infrastructure environment.<\/li>\n\n\n\n
                      10. Are there local chapters or study groups in India?<\/strong>Yes, there are vibrant communities and study groups in major tech hubs like Bangalore, Pune, and Hyderabad that support this certification.<\/li>\n\n\n\n
                      11. Do I need to have prior experience with Kubernetes?<\/strong>Having a basic understanding of container orchestration is helpful, as AIOps is often deployed to manage modern, containerized environments.<\/li>\n\n\n\n
                      12. Is the course content updated regularly?<\/strong>The curriculum is reviewed frequently to ensure it includes the latest trends, such as the use of large language models for operational analysis.<\/li>\n<\/ol>\n\n\n\n
                        \n\n\n\n

                        FAQs on Certified AIOps Architect<\/h2>\n\n\n\n
                          \n
                        1. How much math do I actually need to know for this?<\/strong>You should be comfortable with basic statistics and logic; however, the program focuses more on how to use AI tools rather than developing them from scratch.<\/li>\n\n\n\n
                        2. Can AIOps really replace traditional monitoring?<\/strong>AIOps does not replace monitoring but rather enhances it by processing the vast amounts of data that monitoring tools generate to find meaningful patterns.<\/li>\n\n\n\n
                        3. What is the most difficult part of the Architect certification?<\/strong>Most candidates find the “closed-loop automation” section the most challenging, as it requires high precision to ensure automated fixes don’t cause further issues.<\/li>\n\n\n\n
                        4. How does the program handle multi-cloud environments?<\/strong>The architectural principles taught are designed to work across AWS, Azure, and Google Cloud, focusing on vendor-neutral data processing strategies.<\/li>\n\n\n\n
                        5. Is there a focus on reducing cloud costs in the curriculum?<\/strong>Yes, the program includes specific modules on using predictive analytics to optimize resource allocation and significantly reduce unnecessary cloud spend.<\/li>\n\n\n\n
                        6. What role does “Deep Learning” play in this certification?<\/strong>Deep learning is covered in the context of advanced log analysis and anomaly detection, where traditional threshold-based systems often fail to find hidden issues.<\/li>\n\n\n\n
                        7. Is the certification exam proctored online?<\/strong>Yes, for the convenience of global candidates, the exam is typically available through secure online proctoring platforms.<\/li>\n\n\n\n
                        8. Are there any discounts available for corporate groups?<\/strong>Many providers offer group enrollment rates for engineering teams looking to upskill their entire operations department simultaneously.<\/li>\n<\/ol>\n\n\n\n
                          \n\n\n\n

                          Final Thoughts: Is Certified AIOps Architect Worth It?<\/h2>\n\n\n\n

                          From the perspective of a veteran engineer, this certification is an essential investment for anyone who wants to stay relevant in the coming decade. The era of manually watching dashboards is ending, and the era of the AIOps architect is just beginning. This program provides the bridge between traditional systems administration and the future of autonomous IT. It is a challenging journey, but the ability to design systems that can intelligently respond to the world\u2019s most complex infrastructure problems is a skill that will define the leaders of the next generation of tech.<\/p>\n","protected":false},"excerpt":{"rendered":"

                          Introduction The Certified AIOps Architect program represents a vital evolution for modern technologists aiming to master the intersection of artificial intelligence and systems management. This guide serves as a strategic roadmap for DevOps practitioners, SREs, and cloud leaders who recognize that traditional manual operations cannot keep pace with distributed architectures. By integrating algorithmic intelligence into […]<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[2195,2193,2192,1985,1976,2120,2194,2116],"class_list":["post-3874","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-aiops","tag-aiopsschool","tag-certifiedaiopsarchitect","tag-devops","tag-devopsschool","tag-mlops","tag-platformengineering","tag-sre"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/bestpilotsschool.com\/blog\/wp-json\/wp\/v2\/posts\/3874","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bestpilotsschool.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bestpilotsschool.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bestpilotsschool.com\/blog\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/bestpilotsschool.com\/blog\/wp-json\/wp\/v2\/comments?post=3874"}],"version-history":[{"count":1,"href":"https:\/\/bestpilotsschool.com\/blog\/wp-json\/wp\/v2\/posts\/3874\/revisions"}],"predecessor-version":[{"id":3876,"href":"https:\/\/bestpilotsschool.com\/blog\/wp-json\/wp\/v2\/posts\/3874\/revisions\/3876"}],"wp:attachment":[{"href":"https:\/\/bestpilotsschool.com\/blog\/wp-json\/wp\/v2\/media?parent=3874"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bestpilotsschool.com\/blog\/wp-json\/wp\/v2\/categories?post=3874"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bestpilotsschool.com\/blog\/wp-json\/wp\/v2\/tags?post=3874"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}