{"id":3856,"date":"2026-05-05T11:50:01","date_gmt":"2026-05-05T11:50:01","guid":{"rendered":"https:\/\/bestpilotsschool.com\/blog\/?p=3856"},"modified":"2026-05-05T11:50:07","modified_gmt":"2026-05-05T11:50:07","slug":"shape-your-aiops-career-path-with-aiops-foundation-certification","status":"publish","type":"post","link":"https:\/\/bestpilotsschool.com\/blog\/shape-your-aiops-career-path-with-aiops-foundation-certification\/","title":{"rendered":"Shape Your AIOps Career Path with AIOps Foundation Certification"},"content":{"rendered":"\n
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Introduction<\/h2>\n\n\n\n

The AIOps Foundation Certification<\/strong> is a comprehensive credential designed for modern technical professionals who want to lead the next wave of infrastructure management. This guide is specifically written for software engineers, platform specialists, and technical leaders who are witnessing the shift from manual operations to intelligent, data-driven systems. As environments scale beyond human capacity, understanding how to apply artificial intelligence to IT operations is no longer optional but a core requirement for senior roles. This roadmap explores how the certification fits within the broader DevOps and SRE landscape, helping you navigate the complex world of automated observability. By reading this guide, you will gain the clarity needed to make strategic career decisions and understand how to leverage aiopsschool <\/strong>for your professional advancement.<\/p>\n\n\n\n

What is the AIOps Foundation Certification?<\/h2>\n\n\n\n

The AIOps Foundation Certification represents a paradigm shift in how we manage complex production systems by utilizing machine learning and big data. It exists to solve the problem of “alert fatigue” and the increasing complexity of microservices that traditional monitoring tools can no longer handle. This program emphasizes real-world, production-focused learning, moving away from abstract theory to focus on the practical ingestion and analysis of telemetry. It aligns perfectly with modern engineering workflows by providing a framework for predictive maintenance and automated root cause analysis within enterprise environments. Ultimately, it validates that an engineer can bridge the gap between data science and systems operations to improve reliability and performance.<\/p>\n\n\n\n

Who Should Pursue AIOps Foundation Certification?<\/h2>\n\n\n\n

This certification is designed for a broad spectrum of roles, starting with DevOps and SRE professionals who are responsible for maintaining system uptime. Cloud architects, security engineers, and data specialists will find the principles of intelligent automation highly relevant to their specialized domains. It is equally suitable for early-career engineers looking to future-proof their skills and engineering managers who need to oversee the digital transformation of their departments. Globally, and specifically in the competitive tech hubs of India, this credential helps professionals stand out by demonstrating mastery of cutting-edge operational strategies. Whether you are an individual contributor or a technical leader, the ability to manage AI-driven infrastructure is a significant career advantage.<\/p>\n\n\n\n

Why AIOps Foundation Certification is Valuable and Beyond<\/h2>\n\n\n\n

The value of this certification lies in the massive enterprise adoption of AI technologies to manage sprawling cloud-native landscapes. As organizations move toward autonomous operations, the demand for engineers who can design and maintain these “self-healing” systems continues to skyrocket. Obtaining this certification ensures long-term career longevity because it focuses on the logic and methodology of intelligent operations rather than just a specific, fleeting toolset. It represents a high return on time investment by positioning you at the intersection of two high-growth fields: Machine Learning and Infrastructure Engineering. In an era where manual intervention is a bottleneck, being an AIOps-certified professional makes you an indispensable asset to any scale-oriented business.<\/p>\n\n\n\n

AIOps Foundation Certification Overview<\/h2>\n\n\n\n

This program is delivered via the official course portal at AIOps Foundation Certification<\/strong><\/a> and is hosted by the aiopsschool<\/a> <\/strong> platform. The program is structured into clear tiers that move from foundational concepts to professional and advanced architectural strategies. The assessment approach is designed to be practical, testing a candidate’s ability to interpret data patterns and configure intelligent alerting systems. Ownership of the certification rests with industry-aligned experts who ensure the content stays current with evolving enterprise standards and cloud technologies. This structural clarity allows candidates to know exactly where they stand and what technical milestones they need to reach for completion.<\/p>\n\n\n\n

AIOps Foundation Certification Tracks & Levels<\/h2>\n\n\n\n

The certification is categorized into three primary levels: Foundation, Professional, and Advanced, mirroring the typical progression of a technical career. The Foundation level introduces core concepts of data telemetry and basic machine learning applications in IT, while the Professional level focuses on implementation and tool integration. Advanced levels are aimed at architects and senior leaders who are designing entire AIOps strategies for global organizations. Furthermore, there are specialization tracks available that align AIOps with other disciplines like FinOps for cost optimization or DevSecOps for intelligent security monitoring. This tiered approach ensures that there is a relevant learning path regardless of your current experience level or specific role.<\/p>\n\n\n\n

Complete AIOps Foundation 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 AIOps<\/td>Foundation<\/td>Junior\/Mid Engineers<\/td>Basic IT Ops<\/td>Telemetry, Noise Reduction<\/td>1<\/td><\/tr>
Engineering<\/td>Professional<\/td>Senior SREs\/DevOps<\/td>Foundation Cert<\/td>ML Model Ops, Integration<\/td>2<\/td><\/tr>
Architecture<\/td>Advanced<\/td>Tech Leads\/Architects<\/td>Professional Cert<\/td>Strategic Design, Governance<\/td>3<\/td><\/tr>
Specialized<\/td>FinOps<\/td>FinOps Practitioners<\/td>Basic Cloud Finance<\/td>Predictive Cost Modeling<\/td>Optional<\/td><\/tr>
Specialized<\/td>SecOps<\/td>Security Analysts<\/td>Basic Cybersecurity<\/td>Anomaly Detection, SecOps AI<\/td>Optional<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Detailed Guide for Each AIOps Foundation Certification<\/h2>\n\n\n\n

AIOps Foundation Certification \u2013 Foundation Level<\/h3>\n\n\n\n

What it is<\/h3>\n\n\n\n

This certification validates the essential knowledge required to understand and participate in an AI-driven operations environment. It covers the core pillars of AIOps: data collection, pattern recognition, and automated response.<\/p>\n\n\n\n

Who should take it<\/h3>\n\n\n\n

It is suitable for working engineers in DevOps, SRE, or Cloud roles who are new to AI. It is also an excellent entry point for managers who need to understand the technical landscape of intelligent monitoring.<\/p>\n\n\n\n

Skills you\u2019ll gain<\/h3>\n\n\n\n
    \n
  • Understanding the difference between traditional monitoring and intelligent observability.<\/li>\n\n\n\n
  • Identifying different types of operational data (logs, metrics, and traces).<\/li>\n\n\n\n
  • Knowledge of how machine learning algorithms identify infrastructure anomalies.<\/li>\n\n\n\n
  • Ability to map out a basic AIOps implementation strategy for a small team.<\/li>\n<\/ul>\n\n\n\n

    Real-world projects you should be able to do<\/h3>\n\n\n\n
      \n
    • Configure a centralized logging system that feeds into a basic anomaly detection engine.<\/li>\n\n\n\n
    • Design a dashboard that visualizes correlated events to reduce alert fatigue.<\/li>\n\n\n\n
    • Create a documentation framework for transitioning from manual to automated incident response.<\/li>\n<\/ul>\n\n\n\n

      Preparation plan<\/h3>\n\n\n\n
        \n
      • 7\u201314 days:<\/strong> Focus on terminology and the core architectural components of AIOps. Study the different types of machine learning and how they apply to IT data.<\/li>\n\n\n\n
      • 30 days:<\/strong> Engage with practical labs involving data ingestion tools and open-source observability platforms. Review case studies of enterprise AIOps transitions.<\/li>\n\n\n\n
      • 60 days:<\/strong> Perform deep-dive research into specific algorithmic approaches like clustering and regression. Take multiple practice exams to verify your conceptual understanding.<\/li>\n<\/ul>\n\n\n\n

        Common mistakes<\/h3>\n\n\n\n
          \n
        • Treating AIOps as a tool-only solution rather than a process and cultural shift.<\/li>\n\n\n\n
        • Neglecting the importance of data quality; remember that AI is only as good as the data it consumes.<\/li>\n\n\n\n
        • Focusing too much on the math of machine learning instead of the operational outcomes.<\/li>\n<\/ul>\n\n\n\n

          Best next certification after this<\/h3>\n\n\n\n
            \n
          • Same-track option:<\/strong> AIOps Professional Certification<\/li>\n\n\n\n
          • Cross-track option:<\/strong> SRE Professional Certification<\/li>\n\n\n\n
          • Leadership option:<\/strong> Engineering Management Strategy<\/li>\n<\/ul>\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 integrating AI into the Continuous Integration and Continuous Deployment (CI\/CD) pipeline to ensure high-quality releases. Engineers learn how to use AIOps to predict deployment failures and automate the rollback process based on real-time performance data. This path is ideal for those who want to build resilient delivery systems that can self-correct during the release cycle. It bridges the gap between development speed and operational stability using intelligent feedback loops.<\/p>\n\n\n\n

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

            In the DevSecOps path, the primary focus is using AI to enhance the security posture of an organization. This involves using AIOps to detect sophisticated security threats and zero-day vulnerabilities through pattern recognition and behavioral analysis. It allows security professionals to automate the response to attacks in real-time, significantly reducing the window of exposure. This path is critical for engineers working in high-stakes environments like banking or healthcare.<\/p>\n\n\n\n

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

            The SRE path is dedicated to utilizing AI for maintaining Service Level Objectives (SLOs) and reducing the “toil” of manual operations. Professionals learn how to build self-healing infrastructures where AI agents can resolve common incidents without human intervention. This path emphasizes the reduction of Mean Time to Repair (MTTR) and the improvement of overall system reliability through predictive analytics. It is the most technically intensive path for those focused on high-scale uptime.<\/p>\n\n\n\n

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

            This path is for professionals who want to become pure specialists in the domain of AI-driven operations. It covers the end-to-end lifecycle of AIOps, from designing data lakes to fine-tuning machine learning models specifically for infrastructure telemetry. Those on this path often become the “AIOps Architects” within an organization, leading the center of excellence for automation. It is the definitive route for anyone wanting to be a pioneer in the future of intelligent IT management.<\/p>\n\n\n\n

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

            The MLOps path focuses on the operationalization of machine learning models themselves, ensuring they are deployed and monitored correctly. This is essential for AIOps because the AI models used for operations need their own lifecycle management to avoid “model drift” over time. This path is a perfect blend for those with an interest in data science who want to apply DevOps principles to the world of AI. It ensures that the “intelligence” in AIOps remains accurate and reliable.<\/p>\n\n\n\n

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

            DataOps focuses on the quality and flow of data that feeds into AIOps systems, treating data as a first-class product. Professionals on this path learn how to build robust data pipelines that ensure telemetry is delivered to AI models with low latency and high integrity. Without a strong DataOps foundation, any AIOps initiative will fail due to poor data inputs. This path is ideal for data engineers who want to specialize in the operational side of data management.<\/p>\n\n\n\n

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

            The FinOps path utilizes AIOps to bring financial clarity and optimization to cloud spending. It involves using predictive models to forecast cloud costs and identify wasteful spending patterns automatically. This allows organizations to move from reactive budgeting to proactive, AI-driven cost management. As cloud budgets grow larger, this path is becoming one of the most sought-after specializations for engineering leaders and finance professionals.<\/p>\n\n\n\n

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

            Next Certifications to Take After AIOps Foundation Certification<\/h2>\n\n\n\n

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

            Deep specialization within the AIOps track involves moving from the Foundation level to the Professional and Architecture levels. These advanced certifications dive deeper into the actual programming of AI models for operations and the management of large-scale AIOps platforms. This progression is designed for those who want to be the primary decision-makers regarding the automation stack of an enterprise. It solidifies your position as a niche expert in a high-demand, low-competition field.<\/p>\n\n\n\n

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

            Skill broadening is essential for senior technical leaders, and expanding into cross-track certifications like SRE, DevSecOps, or MLOps is highly recommended. By combining AIOps with another discipline, you create a unique skill set that allows you to solve multi-dimensional problems. For example, a professional with both AIOps and SecOps certifications can build an “Intelligent SOC” that is significantly more efficient than traditional security centers. This expansion makes you a versatile asset in any modern engineering organization.<\/p>\n\n\n\n

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

            For those transitioning into leadership, moving toward management-focused certifications helps translate technical AIOps success into business value. This track focuses on the ROI of automation, team building for AIOps projects, and navigating the cultural changes required for AI adoption. It is about moving from “doing” the work to “strategizing” how the work is done across the whole department. Leadership in AIOps requires a unique balance of technical vision and organizational empathy.<\/p>\n\n\n\n

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

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

            A premier institution that offers a wide array of training programs focused on the entire “Ops” spectrum. They are known for their hands-on approach and their ability to stay ahead of market trends by updating their curriculum constantly. Their instructors are seasoned industry veterans who bring a wealth of practical experience into the classroom, ensuring that students are prepared for real-world challenges. For anyone looking to start their journey in AIOps or DevOps, this provider offers a robust and supportive learning environment.<\/p>\n\n\n\n

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

            Specializes in high-end technical training for specialized engineering domains, including SRE and AIOps. They provide deep-dive workshops that are designed for senior professionals who need to solve complex infrastructure problems. Their training methodology is highly focused on architectural principles and large-scale system design. Cotocus is often the preferred choice for corporate teams looking to upskill their entire engineering workforce with the latest automation technologies and best practices in the cloud-native space.<\/p>\n\n\n\n

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

            A global community and training hub that has been at the forefront of software configuration management and DevOps for years. They offer a unique blend of formal training and community-driven learning resources, making them a valuable asset for continuous professional development. Their AIOps training modules are designed to be practical and tool-integrated, helping engineers see immediate results in their daily tasks. The provider has a strong reputation for helping students transition into high-paying roles within the global tech industry.<\/p>\n\n\n\n

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

            Focuses on providing streamlined and effective learning paths for modern software engineers. Their courses are designed to be concise yet comprehensive, making them ideal for busy professionals who need to gain new skills quickly. They provide high-quality study materials and mock exams that are specifically tailored to help candidates pass their certification exams on the first attempt. Their training programs are highly regarded for their clarity and focus on the most relevant industry tools and techniques.<\/p>\n\n\n\n

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

            Addresses the growing need for security to be integrated directly into the development and operations lifecycle. Their training programs focus on using AI and automation to build “security by design” into every stage of the software pipeline. By specializing in the security aspect of AIOps, they provide a unique and highly valuable perspective for modern cloud engineers. Their curriculum is essential for anyone looking to build more secure and resilient automated systems in an increasingly hostile digital environment.<\/p>\n\n\n\n

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

            Dedicated to the art and science of Site Reliability Engineering, offering specialized courses that cover every aspect of system uptime and performance. Their connection to AIOps is fundamental, as they teach students how to use AI-driven tools to manage complex distributed systems at scale. The training provided is deeply rooted in the principles popularized by major tech giants, ensuring that students learn the most effective ways to manage modern production environments.<\/p>\n\n\n\n

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

            The primary specialized provider for AIOps-specific education and certification support. They focus exclusively on the intersection of AI and IT operations, providing the most detailed and up-to-date curriculum available in the market. Their programs are designed to take a candidate from a complete beginner to a master of intelligent automation. Because they are a dedicated specialist, their training deep-dives into the nuances of machine learning for telemetry in a way that generalist providers often miss.<\/p>\n\n\n\n

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

            Focuses on the critical data management aspect of modern operations, teaching engineers how to build and maintain the data pipelines that power AI. Their training is essential for ensuring that AIOps models have access to the high-quality, real-time data they need to function correctly. They cover a wide range of topics, from data ingestion and transformation to data governance and security. This provider is the key for anyone who wants to specialize in the “Data” part of the DataOps and AIOps movement.<\/p>\n\n\n\n

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

            Provides the necessary training to master the financial management of cloud resources using AI and automation. As cloud costs become a major concern for enterprises, the skills taught here are in extremely high demand across the globe. Their courses teach engineers and managers how to use AIOps to optimize cloud spending and ensure that every dollar spent on infrastructure is producing value. This provider bridges the gap between the technical engineering team and the financial leadership of an organization.<\/p>\n\n\n\n

            Frequently Asked Questions (General)<\/h2>\n\n\n\n
              \n
            1. Is the AIOps Foundation Certification difficult for someone with no AI background?<\/strong>
              The foundation level is designed to be accessible and focuses on core concepts rather than complex mathematical formulas.
              <\/li>\n\n\n\n
            2. How much time should I dedicate to studying for this exam?<\/strong>
              Most working professionals find that 4 to 6 weeks of consistent study is sufficient to master the foundation material.
              <\/li>\n\n\n\n
            3. What are the basic prerequisites for starting this certification?<\/strong>
              A basic understanding of Linux, cloud computing, and general IT operations is the only real prerequisite for the foundation level.
              <\/li>\n\n\n\n
            4. Does this certification help in getting a higher salary?<\/strong>
              Yes, AIOps is a niche skill set that is currently in high demand, often leading to significantly higher compensation packages.
              <\/li>\n\n\n\n
            5. Is the exam conducted online or at a testing center?<\/strong>
              The exam is typically available online through proctored platforms, allowing you to take it from the comfort of your home or office.
              <\/li>\n\n\n\n
            6. Are there any hands-on labs required for the foundation level?<\/strong>
              While the exam is mostly theoretical, performing the recommended labs is highly suggested for a truly practical understanding.
              <\/li>\n\n\n\n
            7. How does AIOps differ from traditional DevOps?<\/strong>
              DevOps focuses on the process and culture of collaboration, while AIOps provides the specific AI-driven tools to automate that collaboration.
              <\/li>\n\n\n\n
            8. Can I skip the foundation level and go straight to professional?<\/strong>
              It is generally not recommended to skip levels unless you have extensive prior professional experience in AI-driven operations.
              <\/li>\n\n\n\n
            9. Does the certification expire after a certain period?<\/strong>
              Most professional certifications require recertification every 2 to 3 years to ensure your skills remain current with the latest technology.
              <\/li>\n\n\n\n
            10. Is there a community or forum for AIOps students?<\/strong>
              Yes, providers like aiopsschool maintain active communities where students can share knowledge and help each other with exam preparation.
              <\/li>\n\n\n\n
            11. What is the pass mark for the foundation exam?<\/strong>
              The pass mark varies by provider but is typically around 70% to 75% for the multiple-choice assessment.
              <\/li>\n\n\n\n
            12. Is AIOps only for large-scale enterprises?<\/strong>
              While large enterprises see the most immediate benefit, AIOps principles can be applied to any environment that generates operational telemetry.<\/li>\n<\/ol>\n\n\n\n

              FAQs on AIOps Foundation Certification<\/h2>\n\n\n\n
                \n
              1. What is the specific focus of the AIOps Foundation Certification?<\/strong>
                The focus is on establishing a common language and understanding of how AI can be applied to solve traditional IT operational challenges.
                <\/li>\n\n\n\n
              2. Does the certification cover specific AIOps tools like Splunk or Datadog?<\/strong>
                The certification is vendor-neutral, meaning it teaches you the principles that can be applied to any AIOps tool or platform in the market.
                <\/li>\n\n\n\n
              3. How does this certification address the issue of “Dark Debt” in systems?<\/strong>
                It teaches how to use AI to find hidden system failures and dependencies that are often missed by manual monitoring methods.
                <\/li>\n\n\n\n
              4. Is Python programming required for the AIOps Foundation Certification?<\/strong>
                Python is not strictly required for the foundation level, though it becomes more important as you progress to the professional and advanced levels.
                <\/li>\n\n\n\n
              5. How does the certification handle the concept of “Observability”?<\/strong>
                It positions AIOps as the logical next step of observability, where the system not only reports its state but also helps analyze and fix it.
                <\/li>\n\n\n\n
              6. Will this certification help me move into a Data Science role?<\/strong>
                It provides a great bridge into the world of data, but you would likely need further specialized training to become a full-time data scientist.
                <\/li>\n\n\n\n
              7. Does the course cover the use of AI for cloud cost optimization?<\/strong>
                Yes, basic principles of using AI for predictive billing and resource optimization are included in the foundational curriculum.
                <\/li>\n\n\n\n
              8. What is the main benefit of being certified by aiopsschool?<\/strong>
                Being certified by a specialist provider ensures that your credential is recognized as being deeply rooted in the specific domain of AIOps.<\/li>\n<\/ol>\n\n\n\n

                Final Thoughts: Is AIOps Foundation Certification Worth It?<\/h2>\n\n\n\n

                As a mentor who has spent two decades in the trenches of IT operations, I can say with certainty that we are at a turning point. The traditional way of managing systems through manual dashboards and static alerts is dying. The AIOps Foundation Certification<\/strong> is your ticket to the future of this industry. It is absolutely worth the investment because it transforms you from a reactive firefighter into a proactive, strategic engineer. <\/p>\n\n\n\n

                This certification doesn’t just teach you about tools; it teaches you a new way to think about data, scale, and reliability. If you want to remain relevant and lead the teams of tomorrow, you must embrace the intelligence that AI brings to our field. Take the step, get certified, and start building the autonomous systems of the future.<\/p>\n","protected":false},"excerpt":{"rendered":"

                Introduction The AIOps Foundation Certification is a comprehensive credential designed for modern technical professionals who want to lead the next wave of infrastructure management. This guide is specifically written for software engineers, platform specialists, and technical leaders who are witnessing the shift from manual operations to intelligent, data-driven systems. As environments scale beyond human capacity, […]<\/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":[],"class_list":["post-3856","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"blocksy_meta":[],"_links":{"self":[{"href":"https:\/\/bestpilotsschool.com\/blog\/wp-json\/wp\/v2\/posts\/3856","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=3856"}],"version-history":[{"count":1,"href":"https:\/\/bestpilotsschool.com\/blog\/wp-json\/wp\/v2\/posts\/3856\/revisions"}],"predecessor-version":[{"id":3867,"href":"https:\/\/bestpilotsschool.com\/blog\/wp-json\/wp\/v2\/posts\/3856\/revisions\/3867"}],"wp:attachment":[{"href":"https:\/\/bestpilotsschool.com\/blog\/wp-json\/wp\/v2\/media?parent=3856"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bestpilotsschool.com\/blog\/wp-json\/wp\/v2\/categories?post=3856"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bestpilotsschool.com\/blog\/wp-json\/wp\/v2\/tags?post=3856"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}