{"id":65046,"date":"2026-04-10T10:20:02","date_gmt":"2026-04-10T07:20:02","guid":{"rendered":"https:\/\/rss.eground-zerkalo.com\/?p=65046"},"modified":"2026-04-10T10:20:02","modified_gmt":"2026-04-10T07:20:02","slug":"%d0%b8%d0%bd%d1%84%d1%80%d0%b0%d1%81%d1%82%d1%80%d1%83%d0%ba%d1%82%d1%83%d1%80%d0%b0-%d0%b8%d0%b8-nvidia-%d0%b8-%d0%bf%d0%be%d0%b4%d0%b3%d0%be%d1%82%d0%be%d0%b2%d0%ba%d0%b0-%d0%ba-nca-aiio-udemy-as","status":"publish","type":"post","link":"https:\/\/rss.eground-zerkalo.com\/?p=65046","title":{"rendered":"\u0418\u043d\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0430 \u0418\u0418 NVIDIA \u0438 \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043a\u0430 \u043a NCA-AIIO [Udemy] [Ashish Prajapati]"},"content":{"rendered":"<h2 class=\"\">\u0421\u043a\u043b\u0430\u0434\u0447\u0438\u043d\u0430: \u0418\u043d\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0430 \u0418\u0418 NVIDIA \u0438 \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043a\u0430 \u043a NCA-AIIO [Udemy] [Ashish Prajapati]<\/h2>\n<p> \t\t\t\t\t<b>Master NVIDIA AI Infrastructure &amp; Pass NCA-AIIO<\/b><br \/> \u042f\u0437\u044b\u043a: \u0430\u043d\u0433\u043b\u0438\u0439\u0441\u043a\u0438\u0439<\/p>\n<p>  \t \t<img decoding=\"async\" src=\"https:\/\/v32.skladchik.org\/attachments\/img_20260410_090722-png.1251423\/\" class=\"bbCodeImage LbImage\" alt=\"IMG_20260410_090722.png\" \/> \t\t <\/p>\n<p> \u041a\u0443\u0440\u0441 \u043f\u043e \u043e\u0441\u043d\u043e\u0432\u0430\u043c AI-\u0438\u043d\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u044b \u043d\u0430 \u0431\u0430\u0437\u0435 \u0440\u0435\u0448\u0435\u043d\u0438\u0439 NVIDIA \u0438 \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043a\u0435 \u043a \u0441\u0435\u0440\u0442\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438 <b>NVIDIA Certified Associate: AI Infrastructure &amp; Operations (NCA-AIIO)<\/b>.<\/p>\n<p> \u041f\u043e\u0434\u043e\u0439\u0434\u0435\u0442 \u043d\u0430\u0447\u0438\u043d\u0430\u044e\u0449\u0438\u043c \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u0430\u043c, IT-\u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u0430\u043c, \u0441\u0438\u0441\u0442\u0435\u043c\u043d\u044b\u043c \u0430\u0434\u043c\u0438\u043d\u0438\u0441\u0442\u0440\u0430\u0442\u043e\u0440\u0430\u043c \u0438 DevOps-\u0438\u043d\u0436\u0435\u043d\u0435\u0440\u0430\u043c, \u043a\u043e\u0442\u043e\u0440\u044b\u043c \u043d\u0443\u0436\u043d\u043e \u0440\u0430\u0437\u043e\u0431\u0440\u0430\u0442\u044c\u0441\u044f \u0432 \u0443\u0441\u0442\u0440\u043e\u0439\u0441\u0442\u0432\u0435 \u0441\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439 AI-\u0438\u043d\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u044b: \u043e\u0442 \u0440\u043e\u043b\u0438 GPU \u0438 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b \u0434\u0430\u0442\u0430-\u0446\u0435\u043d\u0442\u0440\u0430 \u0434\u043e \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u043d\u043e\u0433\u043e \u0441\u0442\u0435\u043a\u0430 NVIDIA, \u043c\u043e\u043d\u0438\u0442\u043e\u0440\u0438\u043d\u0433\u0430, \u0441\u0435\u0442\u0435\u0432\u043e\u0433\u043e \u0432\u0437\u0430\u0438\u043c\u043e\u0434\u0435\u0439\u0441\u0442\u0432\u0438\u044f \u0438 AI-workflows.<\/p>\n<p> <b>\u0427\u0442\u043e \u0431\u0443\u0434\u0435\u0442 \u0432 \u043a\u0443\u0440\u0441\u0435:<\/b> <\/p>\n<ul>\n<li>\u043e\u0441\u043d\u043e\u0432\u044b AI, ML, DL \u0438 GenAI;<\/li>\n<li>\u0443\u0441\u0442\u0440\u043e\u0439\u0441\u0442\u0432\u043e AI-\u043e\u0440\u0438\u0435\u043d\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0433\u043e \u0434\u0430\u0442\u0430-\u0446\u0435\u043d\u0442\u0440\u0430;<\/li>\n<li>\u0440\u0430\u0437\u043b\u0438\u0447\u0438\u044f CPU, GPU \u0438 DPU;<\/li>\n<li>\u0441\u0435\u0442\u0438 \u0438 \u0445\u0440\u0430\u043d\u0435\u043d\u0438\u0435 \u0434\u0430\u043d\u043d\u044b\u0445 \u0432 AI-\u0438\u043d\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0435;<\/li>\n<li>\u0441\u0442\u0435\u043a NVIDIA: DGX, BlueField, ConnectX, NVLink, InfiniBand, CUDA, NCCL, DCGM, NVIDIA-SMI \u0438 \u0434\u0440.;<\/li>\n<li>\u0432\u0438\u0440\u0442\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f GPU, vGPU \u0438 MIG;<\/li>\n<li>AI-workflows, MLOps, Slurm \u0438 Kubernetes;<\/li>\n<li>\u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043a\u0430 \u043a \u044d\u043a\u0437\u0430\u043c\u0435\u043d\u0443 NCA-AIIO.<\/li>\n<\/ul>\n<p><b>\u0421\u043e\u0434\u0435\u0440\u0436\u0430\u043d\u0438\u0435 \u043a\u0443\u0440\u0441\u0430<\/b><br \/> 6 \u0440\u0430\u0437\u0434\u0435\u043b\u043e\u0432 \u2022 72 \u043b\u0435\u043a\u0446\u0438\u0438 \u2022 \u041e\u0431\u0449\u0430\u044f \u043f\u0440\u043e\u0434\u043e\u043b\u0436\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c 4 \u0447 40 \u043c\u0438\u043d <\/p>\n<ul>\n<li>\u0412\u0432\u0435\u0434\u0435\u043d\u0438\u0435 &#8212; 1 \u043b\u0435\u043a\u0446\u0438\u044f \u2022 2 \u043c\u0438\u043d<\/li>\n<li>\u0414\u0435\u0442\u0430\u043b\u0438 \u0441\u0435\u0440\u0442\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438 &#8212; 2 \u043b\u0435\u043a\u0446\u0438\u0438 \u2022 5 \u043c\u0438\u043d<\/li>\n<li>\u041c\u043e\u0434\u0443\u043b\u044c 1 &#8212; \u041e\u0441\u043d\u043e\u0432\u044b &#8212; 5 \u043b\u0435\u043a\u0446\u0438\u0439 \u2022 16 \u043c\u0438\u043d<\/li>\n<li>\u041c\u043e\u0434\u0443\u043b\u044c 2 &#8212; \u0412\u043d\u0443\u0442\u0440\u0438 \u0446\u0435\u043d\u0442\u0440\u0430 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 \u043d\u0430 \u0431\u0430\u0437\u0435 \u0418\u0418 &#8212; 13 \u043b\u0435\u043a\u0446\u0438\u0439 \u2022 1 \u0447 1 \u043c\u0438\u043d<\/li>\n<li>\u041c\u043e\u0434\u0443\u043b\u044c 3 &#8212; \u0422\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0441\u0442\u0435\u043a NVIDIA &#8212; 41 \u043b\u0435\u043a\u0446\u0438\u044f \u2022 2 \u0447 34 \u043c\u0438\u043d<\/li>\n<li>\u041c\u043e\u0434\u0443\u043b\u044c 4 &#8212; \u0420\u0430\u0431\u043e\u0447\u0438\u0435 \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u044b \u0418\u0418 &#8212; 10 \u043b\u0435\u043a\u0446\u0438\u0439 \u2022 44 \u043c\u0438\u043d<\/li>\n<\/ul>\n<p><b>\u0422\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u0438\u044f:<\/b><br \/> \u0421\u043f\u0435\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0439 \u043e\u043f\u044b\u0442 \u0432 AI-\u0438\u043d\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0435 \u043d\u0435 \u0442\u0440\u0435\u0431\u0443\u0435\u0442\u0441\u044f. \u0411\u0430\u0437\u043e\u0432\u043e\u0435 \u043f\u043e\u043d\u0438\u043c\u0430\u043d\u0438\u0435 IT, \u043e\u0431\u043e\u0440\u0443\u0434\u043e\u0432\u0430\u043d\u0438\u044f \u0438 \u0441\u0435\u0442\u0435\u0439 \u0431\u0443\u0434\u0435\u0442 \u043f\u043e\u043b\u0435\u0437\u043d\u043e, \u043d\u043e \u043d\u0435 \u043e\u0431\u044f\u0437\u0430\u0442\u0435\u043b\u044c\u043d\u043e.<\/p>\n<p> <b>\u0414\u043b\u044f \u043a\u043e\u0433\u043e \u043a\u0443\u0440\u0441:<\/b><br \/> \u0414\u043b\u044f IT-\u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u043e\u0432, \u043d\u0430\u0447\u0438\u043d\u0430\u044e\u0449\u0438\u0445 \u0438\u043d\u0436\u0435\u043d\u0435\u0440\u043e\u0432, \u0441\u0438\u0441\u0442\u0435\u043c\u043d\u044b\u0445 \u0430\u0434\u043c\u0438\u043d\u0438\u0441\u0442\u0440\u0430\u0442\u043e\u0440\u043e\u0432, DevOps-\u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u043e\u0432 \u0438 \u0432\u0441\u0435\u0445, \u043a\u0442\u043e \u0433\u043e\u0442\u043e\u0432\u0438\u0442\u0441\u044f \u043a \u0441\u0435\u0440\u0442\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438 NVIDIA NCA-AIIO.<\/p>\n<p>     \t\u0421\u043f\u043e\u0439\u043b\u0435\u0440: \u041d\u0430 \u044f\u0437\u044b\u043a\u0435 \u043e\u0440\u0438\u0433\u0438\u043d\u0430\u043b\u0430: \tMaster NVIDIA AI Infrastructure &amp; Pass NCA-AIIO<\/p>\n<p> Your Guide to Understanding NVIDIA-Powered AI Infrastructure &#8212; From Fundamentals to Certification Success<\/p>\n<p> <b>Bestseller<\/b><\/p>\n<p> <b>What you&#039;ll learn<\/b><\/p>\n<p> Comprehend GPU Architecture and Use Cases &#8212; Learn about GPU architecture and its role in accelerating AI workloads across various industries.<\/p>\n<p> Navigate NVIDIA Software Suite \u2013 Learn CUDA, GPU cores, DGX, NVLink, InfiniBand, DCGM, GPUDirect, and key tools for AI data center operations.<\/p>\n<p> Prepare for NVIDIA NCA-AIIO Certification &#8212; Gain the knowledge and skills needed to successfully pass the NVIDIA AI Infrastructure Operations Associate exam.<\/p>\n<p> Comprehend GPU Architecture and Use Cases Learn about GPU architecture and its role in accelerating AI workloads across various industries.<\/p>\n<p> <b>Course content<\/b><\/p>\n<p> 6 sections \u2022 72 lectures \u2022 4h 40m total length<\/p>\n<p> Introduction<br \/> 1 lecture \u2022 2min<\/p>\n<p> Certification Details<br \/> 2 lectures \u2022 5min<\/p>\n<p> Module 1 &#8212; Fundamentals<br \/> 5 lectures \u2022 16min<\/p>\n<p> Module 2 &#8212; Inside an AI centric Data Center<br \/> 13 lectures \u2022 1hr 1min<\/p>\n<p> Module 3 &#8212; NVIDIA Technology Stack<br \/> 41 lectures \u2022 2hr 34min<\/p>\n<p> Module 4 &#8212; AI Workflows<br \/> 10 lectures \u2022 44min<\/p>\n<p> Module 1 <\/p>\n<ul>\n<li>Drivers of AI evolution<\/li>\n<li>AI use cases across industries<\/li>\n<li>AI, ML, DL, Gen AI<\/li>\n<li>Analogy for AI, ML, DL, Gen AI<\/li>\n<li>Transformer Model<\/li>\n<\/ul>\n<p>Module 2 &#8212; Inside an AI centric Data Center <\/p>\n<ul>\n<li>Inside an AI centric Data Center<\/li>\n<li>Power Usage Effectiveness (PUE)<\/li>\n<li>The Compute Power<\/li>\n<li>CPU and GPU<\/li>\n<li>CPU vs. GPU &#8212; Architectural difference<\/li>\n<li>Beyond Moore&#039;s law<\/li>\n<li>Data Processing Unit (DPU)<\/li>\n<li>Network inside an AI centric Data Center<\/li>\n<li>Network fabric<\/li>\n<li>Ethernet vs. InfiniBand<\/li>\n<li>Converged Ethernet (CE)<\/li>\n<li>Storage inside an AI centric Data Center<\/li>\n<li>Cloud vs. On-Prem<\/li>\n<\/ul>\n<p>Module 3 &#8212; NVIDIA Technology Stack <\/p>\n<ul>\n<li>NVIDIA: Powering AI GPU Innovation<\/li>\n<li>NVIDIA Technology Stack<\/li>\n<li>Layer 1 &#8212; Physical Layer<\/li>\n<li>GPU on a Graphic Card<\/li>\n<li>DGX Platform<\/li>\n<li>DGX SuperPOD<\/li>\n<li>ConnectX<\/li>\n<li>BlueField DPUs<\/li>\n<li>NVIDIA Reference Architectures<\/li>\n<li>Understanding GPU Cores<\/li>\n<li>Comparing GPU Cores<\/li>\n<li>NVIDIA DGX Platform &#8212; Timeline<\/li>\n<li>DGX Platform &#8212; Deployment Options<\/li>\n<li>DGX A100 vs H100<\/li>\n<li>Layer 2: Data Movement and I\/O Acceleration<\/li>\n<li>NVLink<\/li>\n<li>InfiniBand<\/li>\n<li>InfiniBand vs. Ethernet<\/li>\n<li>DMA and RDMA<\/li>\n<li>GPUDirect RDMA<\/li>\n<li>GPUDirect Storage<\/li>\n<li>Quick Comparison<\/li>\n<li>Layer 3: OS, Driver and Virtualization<\/li>\n<li>GPU Drivers<\/li>\n<li>GPU Virtualization<\/li>\n<li>vGPU vs. MIG &#8212; Part 1<\/li>\n<li>vGPU vs. MIG &#8212; Part 2<\/li>\n<li>Layer 4: Core Libraries<\/li>\n<li>Compute Unified Device Architecture (CUDA)<\/li>\n<li>Installing CUDA<\/li>\n<li>NVIDIA Collective Communications Library (NCCL)<\/li>\n<li>NVLink, NVSwitch, PCIe, RDMA vs. NCCL<\/li>\n<li>Layer 5: Monitoring and Management<\/li>\n<li>NVIDIA-SMI<\/li>\n<li>Data Center GPU Manager (DCGM)<\/li>\n<li>Base Command Manager<\/li>\n<li>Which one to use?<\/li>\n<li>Layer 6: Applications &amp; Vertical Solutions<\/li>\n<li>Summary<\/li>\n<li>NVIDIA AI Enterprise:<\/li>\n<li>NVIDIA AI Factory<\/li>\n<\/ul>\n<p>Module 4 &#8212; AI Workflows <\/p>\n<ul>\n<li>AI Workflows<\/li>\n<li>ML Frameworks<\/li>\n<li>The NVIDIA differentiator<\/li>\n<li>Model Training vs. Model Inference<\/li>\n<li>Job Scheduling vs. Container Orchestration<\/li>\n<li>Slurm vs Kubernetes<\/li>\n<li>NVIDIA Integration<\/li>\n<li>ML Ops &#8212; Analogy<\/li>\n<li>Why ML Ops?<\/li>\n<li>NVIDIA Tools supporting ML Ops<\/li>\n<\/ul>\n<p><b>Requirements<\/b><\/p>\n<p> No prior AI infrastructure experience is required; this course is suitable for beginners. Basic understanding of IT concepts, data centers, or enterprise computing is helpful but not mandatory.<\/p>\n<p> Familiarity with general IT hardware and networking concepts is useful.<\/p>\n<p> <b>Description<\/b><\/p>\n<p> Embark on a transformative journey into the world of AI infrastructure with this comprehensive course designed to prepare you for the NVIDIA Certified Associate: AI Infrastructure and Operations (NCA-AIIO) certification. Whether you&#039;re an IT professional, system administrator, or DevOps engineer, this course equips you with the foundational knowledge and practical skills needed to manage and optimize AI workloads in data center environments.<\/p>\n<p> <b>What You&#039;ll Learn:<\/b><\/p>\n<p> AI Fundamentals: Understand the core concepts of Artificial Intelligence, Machine Learning, and Deep Learning, and their applications in modern computing.<\/p>\n<p> NVIDIA Hardware &amp; Software: Gain proficiency in NVIDIA&#039;s GPU architectures, including A100, H100, and B200, and explore essential software tools like CUDA, DCGM, and NGC Catalog.<\/p>\n<p> Infrastructure Design: Learn about data center components, networking technologies such as NVLink and InfiniBand, and how to design scalable AI infrastructure.<\/p>\n<p> AI Operations: Master the deployment, monitoring, and optimization of AI workloads in a enterprise data center, utilizing tools like DCGM, Slurm and Kubernetes.<\/p>\n<p> Exam Preparation: Prepare thoroughly for the NCA-AIIO exam with detailed study guides, practice questions, and real-world scenarios. Gain a clear understanding of the exam objectives, learn tips to maximize your performance, and build confidence to pass the certification on your first attempt, validating your expertise in AI infrastructure operations.<\/p>\n<p> <b>Who this course is for:<\/b><\/p>\n<p> This course is for IT professionals, beginners, and anyone preparing for the NVIDIA NCA-AIIO certification. Learn AI infrastructure, NVIDIA GPUs, software, and data center operations from the ground up. <br \/> Ashish Prajapati &#8212; \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442, \u0432 \u043d\u0430\u0441\u0442\u043e\u044f\u0449\u0435\u0435 \u0432\u0440\u0435\u043c\u044f \u043f\u0440\u043e\u0436\u0438\u0432\u0430\u044e\u0449\u0438\u0439 \u0432 \u041b\u043e\u043d\u0434\u043e\u043d\u0435, \u0412\u0435\u043b\u0438\u043a\u043e\u0431\u0440\u0438\u0442\u0430\u043d\u0438\u044f.<br \/> \u0415\u0433\u043e \u0433\u043b\u0443\u0431\u043e\u043a\u0438\u0439 \u043e\u043f\u044b\u0442 \u0440\u0430\u0431\u043e\u0442\u044b \u044d\u043a\u0441\u043f\u0435\u0440\u0442\u043e\u043c \u043f\u043e \u0432\u0438\u0440\u0442\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 \u0438 \u043c\u0438\u0433\u0440\u0430\u0446\u0438\u0438 \u0432 \u043e\u0431\u043b\u0430\u043a\u043e \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0435\u043c\u0443 \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0442\u044c \u0441\u0432\u043e\u0438 \u043f\u0440\u043e\u0444\u0435\u0441\u0441\u0438\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0435 \u0437\u043d\u0430\u043d\u0438\u044f \u0432 \u0443\u0447\u0435\u0431\u043d\u043e\u043c \u043f\u0440\u043e\u0446\u0435\u0441\u0441\u0435, \u043f\u0440\u0438\u0432\u043e\u0434\u044f \u0443\u0447\u0430\u0449\u0438\u043c\u0441\u044f \u043f\u0440\u0438\u043c\u0435\u0440\u044b \u0438\u0437 \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u0439 \u0436\u0438\u0437\u043d\u0438.<\/p>\n<p> \u0426\u0435\u043d\u0430 ~1500 \u0440\u0443\u0431. (14,99 \u20ac)<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0421\u043a\u043b\u0430\u0434\u0447\u0438\u043d\u0430: \u0418\u043d\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u0430 \u0418\u0418 NVIDIA \u0438 \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043a\u0430 \u043a NCA-AIIO [Udemy] [Ashish Prajapati] Master NVIDIA AI Infrastructure &amp; Pass NCA-AIIO \u042f\u0437\u044b\u043a: \u0430\u043d\u0433\u043b\u0438\u0439\u0441\u043a\u0438\u0439 \u041a\u0443\u0440\u0441 \u043f\u043e \u043e\u0441\u043d\u043e\u0432\u0430\u043c AI-\u0438\u043d\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u044b \u043d\u0430 \u0431\u0430\u0437\u0435 \u0440\u0435\u0448\u0435\u043d\u0438\u0439 NVIDIA \u0438 \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043a\u0435 \u043a \u0441\u0435\u0440\u0442\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0438 NVIDIA Certified Associate: AI Infrastructure &amp; Operations (NCA-AIIO). \u041f\u043e\u0434\u043e\u0439\u0434\u0435\u0442 \u043d\u0430\u0447\u0438\u043d\u0430\u044e\u0449\u0438\u043c \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u0430\u043c, IT-\u0441\u043f\u0435\u0446\u0438\u0430\u043b\u0438\u0441\u0442\u0430\u043c, \u0441\u0438\u0441\u0442\u0435\u043c\u043d\u044b\u043c \u0430\u0434\u043c\u0438\u043d\u0438\u0441\u0442\u0440\u0430\u0442\u043e\u0440\u0430\u043c \u0438 DevOps-\u0438\u043d\u0436\u0435\u043d\u0435\u0440\u0430\u043c, \u043a\u043e\u0442\u043e\u0440\u044b\u043c \u043d\u0443\u0436\u043d\u043e \u0440\u0430\u0437\u043e\u0431\u0440\u0430\u0442\u044c\u0441\u044f \u0432 \u0443\u0441\u0442\u0440\u043e\u0439\u0441\u0442\u0432\u0435 \u0441\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439 AI-\u0438\u043d\u0444\u0440\u0430\u0441\u0442\u0440\u0443\u043a\u0442\u0443\u0440\u044b: [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-65046","post","type-post","status-publish","format-standard","hentry","category-rss"],"_links":{"self":[{"href":"https:\/\/rss.eground-zerkalo.com\/index.php?rest_route=\/wp\/v2\/posts\/65046","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rss.eground-zerkalo.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rss.eground-zerkalo.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rss.eground-zerkalo.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/rss.eground-zerkalo.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=65046"}],"version-history":[{"count":0,"href":"https:\/\/rss.eground-zerkalo.com\/index.php?rest_route=\/wp\/v2\/posts\/65046\/revisions"}],"wp:attachment":[{"href":"https:\/\/rss.eground-zerkalo.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=65046"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rss.eground-zerkalo.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=65046"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rss.eground-zerkalo.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=65046"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}