{"id":314859,"date":"2025-12-04T10:00:15","date_gmt":"2025-12-04T11:00:15","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/supercourse-0000017171\/"},"modified":"2025-12-21T15:12:04","modified_gmt":"2025-12-21T16:12:04","slug":"supercourse-0000017171","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/supercourse-0000017171\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u0632\u0628\u0627\u0646 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc \u0628\u0631\u0627\u06cc \u0645\u0647\u0646\u062f\u0633\u0627\u0646 \u062f\u0631 \u062f\u0631\u06a9 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0645\u0639\u0645\u0627\u0631\u06cc\u200c\u0647\u0627\u06cc \u062a\u0648\u0632\u06cc\u0639 \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u06a9\u0644\u0627\u0646 \u062f\u0627\u062f\u0647"},"content":{"rendered":"
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\ud83d\udccb \u0633\u0631\u0641\u0635\u0644\u200c\u0647\u0627\u06cc \u062f\u0648\u0631\u0647 (100 \u0645\u0648\u0636\u0648\u0639)<\/h3>\n
    \n
  • \n 1.<\/span> Understanding Core Technical Vocabulary: A General Approach\n <\/li>\n
  • \n 2.<\/span> Decoding Technical Jargon: Strategies and Practice\n <\/li>\n
  • \n 3.<\/span> Reading for Comprehension in Engineering Documents\n <\/li>\n
  • \n 4.<\/span> Analyzing Sentence Structures in Academic Papers\n <\/li>\n
  • \n 5.<\/span> Identifying Key Information and Main Ideas\n <\/li>\n
  • \n 6.<\/span> Understanding Definitions and Explanations\n <\/li>\n
  • \n 7.<\/span> Describing Processes and Procedures\n <\/li>\n
  • \n 8.<\/span> Comparing and Contrasting Technical Solutions\n <\/li>\n
  • \n 9.<\/span> Expressing Cause, Effect, and Consequence\n <\/li>\n
  • \n 10.<\/span> Interpreting Data from Charts, Graphs, and Diagrams\n <\/li>\n
  • \n 11.<\/span> Summarizing Technical Articles and Research Findings\n <\/li>\n
  • \n 12.<\/span> Recognizing Common Abbreviations and Acronyms\n <\/li>\n
  • \n 13.<\/span> Understanding Prepositions in Technical Contexts\n <\/li>\n
  • \n 14.<\/span> Using Active and Passive Voice Effectively\n <\/li>\n
  • \n 15.<\/span> Note-Taking Strategies for English Technical Lectures\/Webinars\n <\/li>\n
  • \n 16.<\/span> Defining Big Data: Characteristics and Value (The 5 V's)\n <\/li>\n
  • \n 17.<\/span> Challenges and Opportunities in Big Data Processing\n <\/li>\n
  • \n 18.<\/span> Fundamentals of Distributed Systems: An Overview\n <\/li>\n
  • \n 19.<\/span> Why Distributed Architectures are Essential for Big Data\n <\/li>\n
  • \n 20.<\/span> Understanding Scalability: Vertical vs. Horizontal\n <\/li>\n
  • \n 21.<\/span> Ensuring Reliability and Fault Tolerance\n <\/li>\n
  • \n 22.<\/span> Consistency Models: Eventual Consistency and Strong Consistency\n <\/li>\n
  • \n 23.<\/span> The CAP Theorem: Understanding its Implications\n <\/li>\n
  • \n 24.<\/span> Core Terminology in Big Data Ecosystems\n <\/li>\n
  • \n 25.<\/span> Essential Vocabulary for Distributed Systems Engineers\n <\/li>\n
  • \n 26.<\/span> Data Types in Big Data: Structured, Semi-structured, Unstructured\n <\/li>\n
  • \n 27.<\/span> Common Data Sources in Big Data Environments\n <\/li>\n
  • \n 28.<\/span> Data Storage Principles: Distributed File Systems vs. Object Storage\n <\/li>\n
  • \n 29.<\/span> Data Processing Paradigms: Batch vs. Stream\n <\/li>\n
  • \n 30.<\/span> Introduction to Cloud Computing for Big Data Solutions\n <\/li>\n
  • \n 31.<\/span> The Apache Hadoop Ecosystem: Components and Roles\n <\/li>\n
  • \n 32.<\/span> HDFS (Hadoop Distributed File System): Concepts and Architecture\n <\/li>\n
  • \n 33.<\/span> MapReduce: The Programming Model Explained\n <\/li>\n
  • \n 34.<\/span> YARN (Yet Another Resource Negotiator): Resource Management\n <\/li>\n
  • \n 35.<\/span> Apache Spark: A Unified Analytics Engine\n <\/li>\n
  • \n 36.<\/span> Spark Core Concepts: RDDs, DataFrames, Datasets\n <\/li>\n
  • \n 37.<\/span> Using Spark SQL for Declarative Data Manipulation\n <\/li>\n
  • \n 38.<\/span> Introduction to Spark Streaming and Structured Streaming\n <\/li>\n
  • \n 39.<\/span> Apache Kafka: A Distributed Streaming Platform\n <\/li>\n
  • \n 40.<\/span> Kafka Producers, Consumers, and Brokers: Key Interactions\n <\/li>\n
  • \n 41.<\/span> NoSQL Databases: Beyond Relational Models\n <\/li>\n
  • \n 42.<\/span> Key-Value Stores: Redis and its Applications\n <\/li>\n
  • \n 43.<\/span> Document Databases: MongoDB and Flexible Schemas\n <\/li>\n
  • \n 44.<\/span> Column-Family Databases: Cassandra for High Write Throughput\n <\/li>\n
  • \n 45.<\/span> Graph Databases: Exploring Relationships in Data\n <\/li>\n
  • \n 46.<\/span> Data Lakes vs. Data Warehouses: A Comparative Study\n <\/li>\n
  • \n 47.<\/span> ETL and ELT Processes in Big Data Pipelines\n <\/li>\n
  • \n 48.<\/span> Data Governance and Lineage in Complex Systems\n <\/li>\n
  • \n 49.<\/span> Data Security Best Practices in Big Data Architectures\n <\/li>\n
  • \n 50.<\/span> Understanding Data Privacy Regulations (GDPR, CCPA Terminology)\n <\/li>\n
  • \n 51.<\/span> Cloud-Native Big Data Services: AWS, Azure, GCP Overview\n <\/li>\n
  • \n 52.<\/span> Docker: Containerization for Distributed Applications\n <\/li>\n
  • \n 53.<\/span> Kubernetes: Orchestration for Containerized Workloads\n <\/li>\n
  • \n 54.<\/span> Serverless Computing for Event-Driven Data Processing\n <\/li>\n
  • \n 55.<\/span> Understanding API Documentation for Big Data Tools\n <\/li>\n
  • \n 56.<\/span> Microservices Architecture: Design Principles and Benefits\n <\/li>\n
  • \n 57.<\/span> Monolithic Architectures vs. Microservices: Trade-offs\n <\/li>\n
  • \n 58.<\/span> API Gateways and Service Mesh: Managing Microservices\n <\/li>\n
  • \n 59.<\/span> Data Partitioning and Sharding Strategies\n <\/li>\n
  • \n 60.<\/span> Data Replication for High Availability and Durability\n <\/li>\n
  • \n 61.<\/span> Load Balancing Techniques for Distributed Workloads\n <\/li>\n
  • \n 62.<\/span> Message Queues and Event-Driven Architectures\n <\/li>\n
  • \n 63.<\/span> Ensuring Idempotency in Distributed Operations\n <\/li>\n
  • \n 64.<\/span> Implementing Circuit Breakers and Retry Mechanisms\n <\/li>\n
  • \n 65.<\/span> Observability in Distributed Systems: Monitoring, Logging, Tracing\n <\/li>\n
  • \n 66.<\/span> Distributed Consensus Algorithms: Paxos and Raft Concepts\n <\/li>\n
  • \n 67.<\/span> Stateless vs. Stateful Services in Distributed Design\n <\/li>\n
  • \n 68.<\/span> Designing Real-time Data Stream Processing Architectures\n <\/li>\n
  • \n 69.<\/span> Designing High-Throughput Batch Processing Systems\n <\/li>\n
  • \n 70.<\/span> The Lambda Architecture: Concepts and Components\n <\/li>\n
  • \n 71.<\/span> The Kappa Architecture: Simplicity for Stream Processing\n <\/li>\n
  • \n 72.<\/span> Evaluating and Choosing the Right Architectural Pattern\n <\/li>\n
  • \n 73.<\/span> Designing for High Availability and Disaster Recovery\n <\/li>\n
  • \n 74.<\/span> Strategies for Ensuring Data Consistency Across Systems\n <\/li>\n
  • \n 75.<\/span> Performance Optimization in Big Data Architectures\n <\/li>\n
  • \n 76.<\/span> Cost Management and Optimization in Cloud Big Data\n <\/li>\n
  • \n 77.<\/span> Advanced Security Considerations for Distributed Environments\n <\/li>\n
  • \n 78.<\/span> Data Modeling Techniques for NoSQL Databases\n <\/li>\n
  • \n 79.<\/span> Identifying and Addressing System Bottlenecks\n <\/li>\n
  • \n 80.<\/span> Understanding Service Level Agreements (SLAs) for Cloud Services\n <\/li>\n
  • \n 81.<\/span> Analyzing Technical Whitepapers and Research Articles\n <\/li>\n
  • \n 82.<\/span> Interpreting Complex Architecture Diagrams and Blueprints\n <\/li>\n
  • \n 83.<\/span> Evaluating Case Studies of Real-World Big Data Implementations\n <\/li>\n
  • \n 84.<\/span> Understanding Performance Benchmark Reports and Metrics\n <\/li>\n
  • \n 85.<\/span> Comparing and Contrasting Different Architectural Choices\n <\/li>\n
  • \n 86.<\/span> Identifying Key Trade-offs in System Design Decisions\n <\/li>\n
  • \n 87.<\/span> Presenting Technical Solutions and Design Proposals\n <\/li>\n
  • \n 88.<\/span> Asking Effective Clarifying Questions in Technical Meetings\n <\/li>\n
  • \n 89.<\/span> Writing Clear and Concise Technical Summaries\n <\/li>\n
  • \n 90.<\/span> Introduction to Machine Learning Terminology in Big Data\n <\/li>\n
  • \n 91.<\/span> Deep Learning Concepts for Advanced Data Analytics\n <\/li>\n
  • \n 92.<\/span> Real-time Analytics vs. Near Real-time: Use Cases\n <\/li>\n
  • \n 93.<\/span> Graph Analytics and its Applications in Big Data\n <\/li>\n
  • \n 94.<\/span> Time-Series Data Processing and Analysis\n <\/li>\n
  • \n 95.<\/span> Data Ethics and Responsible AI: Key Principles\n <\/li>\n
  • \n 96.<\/span> Future Trends in Big Data Technologies and Distributed Systems\n <\/li>\n
  • \n 97.<\/span> Preparing for Technical Interviews: English Communication Skills\n <\/li>\n
  • \n 98.<\/span> Effective Communication in Open-Source Projects\n <\/li>\n
  • \n 99.<\/span> Understanding the Evolving Landscape of Big Data Tools\n <\/li>\n
  • \n 100.<\/span> Applying Acquired Knowledge to Solve Complex Engineering Problems\n <\/li>\n<\/ul>\n<\/div>\n

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\u0645\u0647\u0646\u062f\u0633 \u0646\u0631\u0645\u200c\u0627\u0641\u0632\u0627\u0631\u060c \u0645\u0639\u0645\u0627\u0631 \u062f\u0627\u062f\u0647 \u06cc\u0627 \u0645\u062a\u062e\u0635\u0635 DevOps \u0647\u0633\u062a\u06cc\u062f \u06a9\u0647 \u062f\u0627\u0646\u0634 \u0641\u0646\u06cc \u0628\u0627\u0644\u0627\u06cc\u06cc \u062f\u0627\u0631\u06cc\u062f\u060c \u0627\u0645\u0627 \u0647\u0646\u06af\u0627\u0645 \u0645\u0637\u0627\u0644\u0639\u0647 \u0645\u0633\u062a\u0646\u062f\u0627\u062a \u0641\u0646\u06cc\u060c \u0648\u0627\u06cc\u062a\u200c\u067e\u06cc\u067e\u0631\u0647\u0627\u06cc (Whitepapers) \u067e\u06cc\u0686\u06cc\u062f\u0647 \u06cc\u0627 \u0645\u0642\u0627\u0644\u0627\u062a \u062a\u062e\u0635\u0635\u06cc \u062f\u0631 \u062d\u0648\u0632\u0647 \u06a9\u0644\u0627\u0646 \u062f\u0627\u062f\u0647 (Big Data) \u0648 \u0645\u0639\u0645\u0627\u0631\u06cc\u200c\u0647\u0627\u06cc \u062a\u0648\u0632\u06cc\u0639 \u0634\u062f\u0647\u060c \u0628\u0627 \u0686\u0627\u0644\u0634 \u0645\u0648\u0627\u062c\u0647 \u0645\u06cc\u200c\u0634\u0648\u06cc\u062f\u061f \u0622\u06cc\u0627 \u0627\u062d\u0633\u0627\u0633 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u062f \u0634\u06a9\u0627\u0641 \u0632\u0628\u0627\u0646\u06cc\u060c \u0634\u0645\u0627 \u0631\u0627 \u0627\u0632 \u062f\u0631\u06a9 \u0639\u0645\u06cc\u0642 \u0645\u0641\u0627\u0647\u06cc\u0645\u06cc \u0645\u0627\u0646\u0646\u062f Scalability\u060c Fault Tolerance\u060c \u06cc\u0627 CAP Theorem \u0628\u0627\u0632 \u0645\u06cc\u200c\u062f\u0627\u0631\u062f \u0648 \u0641\u0631\u0635\u062a\u200c\u0647\u0627\u06cc \u0634\u063a\u0644\u06cc \u0628\u06cc\u0646\u200c\u0627\u0644\u0645\u0644\u0644\u06cc \u0631\u0627 \u0627\u0632 \u0634\u0645\u0627 \u0645\u06cc\u200c\u06af\u06cc\u0631\u062f\u061f\n <\/p>\n<p>\n \u062f\u0648\u0631\u0647 “\u0632\u0628\u0627\u0646 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc \u0628\u0631\u0627\u06cc \u0645\u0647\u0646\u062f\u0633\u0627\u0646 \u062f\u0631 \u062f\u0631\u06a9 \u0648 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\u06a9\u0644\u06cc\u0634\u0647\u200c\u0627\u06cc \u0632\u0628\u0627\u0646 \u0641\u0627\u0635\u0644\u0647 \u06af\u0631\u0641\u062a\u0647 \u0648 \u0645\u0633\u062a\u0642\u06cc\u0645\u0627\u064b \u0628\u0647 \u0633\u0631\u0627\u063a \u06a9\u0627\u0631\u0628\u0631\u062f\u0647\u0627\u06cc \u0648\u0627\u0642\u0639\u06cc \u0645\u06cc\u200c\u0631\u0648\u06cc\u0645. \u0634\u0645\u0627 \u06cc\u0627\u062f \u0645\u06cc\u200c\u06af\u06cc\u0631\u06cc\u062f \u06a9\u0647 \u0686\u06af\u0648\u0646\u0647 \u0645\u0642\u0627\u0644\u0627\u062a \u062a\u062d\u0642\u06cc\u0642\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc MapReduce \u06cc\u0627 Spark \u0631\u0627 \u0628\u0641\u0647\u0645\u06cc\u062f\u060c \u0645\u0633\u062a\u0646\u062f\u0627\u062a \u0641\u0646\u06cc \u0633\u0631\u0648\u06cc\u0633\u200c\u0647\u0627\u06cc \u0627\u0628\u0631\u06cc \u0645\u0627\u0646\u0646\u062f AWS Lambda \u06cc\u0627 Google BigQuery \u0631\u0627 \u0628\u0647 \u0631\u0627\u062d\u062a\u06cc \u0645\u0637\u0627\u0644\u0639\u0647 \u06a9\u0646\u06cc\u062f \u0648 \u062f\u0631 \u062c\u0644\u0633\u0627\u062a \u0641\u0646\u06cc \u0628\u06cc\u0646\u200c\u0627\u0644\u0645\u0644\u0644\u06cc\u060c \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u0635\u0637\u0644\u0627\u062d\u0627\u062a \u0635\u062d\u06cc\u062d\u060c \u0627\u06cc\u062f\u0647\u200c\u0647\u0627\u06cc \u062e\u0648\u062f \u0631\u0627 \u062f\u0631 \u0645\u0648\u0631\u062f \u0637\u0631\u0627\u062d\u06cc \u06cc\u06a9 \u0633\u06cc\u0633\u062a\u0645 Microservices \u0628\u06cc\u0627\u0646 \u06a9\u0646\u06cc\u062f. \u0645\u062d\u062a\u0648\u0627\u06cc \u062f\u0648\u0631\u0647 \u0628\u0631 \u0627\u0633\u0627\u0633 \u0645\u0637\u0627\u0644\u0639\u0647 \u0645\u0648\u0631\u062f\u06cc (Case Study) \u0634\u0631\u06a9\u062a\u200c\u0647\u0627\u06cc \u0628\u0632\u0631\u06af\u060c \u062a\u062d\u0644\u06cc\u0644 \u0648\u0627\u06cc\u062a\u200c\u067e\u06cc\u067e\u0631\u0647\u0627\u06cc \u0627\u0635\u0644\u06cc \u0648 \u0645\u062b\u0627\u0644\u200c\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0627\u0632 \u0686\u0627\u0644\u0634\u200c\u0647\u0627\u06cc \u0631\u0648\u0632\u0645\u0631\u0647 \u0645\u0647\u0646\u062f\u0633\u0627\u0646 \u062f\u0627\u062f\u0647 \u0648 \u0645\u0639\u0645\u0627\u0631\u0627\u0646 \u0646\u0631\u0645\u200c\u0627\u0641\u0632\u0627\u0631 \u062a\u0647\u06cc\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a.\n <\/p>\n<h3>\u0645\u0648\u0636\u0648\u0639\u0627\u062a \u06a9\u0644\u06cc\u062f\u06cc \u06a9\u0647 \u062f\u0631 \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0647 \u0622\u0646\u200c\u0647\u0627 \u0645\u0633\u0644\u0637 \u0645\u06cc\u200c\u0634\u0648\u06cc\u062f:<\/h3>\n<ul>\n<li>\u0648\u0627\u0698\u06af\u0627\u0646 \u062a\u062e\u0635\u0635\u06cc \u0627\u0635\u0648\u0644 \u0633\u06cc\u0633\u062a\u0645\u200c\u0647\u0627\u06cc \u062a\u0648\u0632\u06cc\u0639 \u0634\u062f\u0647 (Distributed Systems Fundamentals)<\/li>\n<li>\u062f\u0631\u06a9 \u0639\u0645\u06cc\u0642 \u0627\u0635\u0637\u0644\u0627\u062d\u0627\u062a \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u0645\u0642\u06cc\u0627\u0633\u200c\u067e\u0630\u06cc\u0631\u06cc\u060c \u062f\u0633\u062a\u0631\u0633\u200c\u067e\u0630\u06cc\u0631\u06cc \u0648 \u067e\u0627\u06cc\u062f\u0627\u0631\u06cc (Scalability, Availability, Fault Tolerance)<\/li>\n<li>\u0632\u0628\u0627\u0646 \u062a\u062e\u0635\u0635\u06cc \u0627\u06a9\u0648\u0633\u06cc\u0633\u062a\u0645 \u06a9\u0644\u0627\u0646 \u062f\u0627\u062f\u0647 (Hadoop, Spark, Kafka, Flink)<\/li>\n<li>\u0627\u0635\u0637\u0644\u0627\u062d\u0627\u062a \u06a9\u0644\u06cc\u062f\u06cc \u062f\u0631 \u0645\u0639\u0645\u0627\u0631\u06cc\u200c\u0647\u0627\u06cc \u0627\u0628\u0631\u06cc (Cloud-Native, Serverless, IaC)<\/li>\n<li>\u062a\u062d\u0644\u06cc\u0644 \u0632\u0628\u0627\u0646 \u0628\u0647 \u06a9\u0627\u0631 \u0631\u0641\u062a\u0647 \u062f\u0631 \u0645\u0639\u0645\u0627\u0631\u06cc\u200c\u0647\u0627\u06cc \u0645\u06cc\u06a9\u0631\u0648\u0633\u0631\u0648\u06cc\u0633 \u0648 \u06a9\u0627\u0646\u062a\u06cc\u0646\u0631\u0633\u0627\u0632\u06cc (Microservices & Containerization)<\/li>\n<li>\u0646\u062d\u0648\u0647 \u062e\u0648\u0627\u0646\u062f\u0646\u060c \u062f\u0631\u06a9 \u0648 \u062e\u0644\u0627\u0635\u0647 \u06a9\u0631\u062f\u0646 \u0648\u0627\u06cc\u062a\u200c\u067e\u06cc\u067e\u0631\u0647\u0627\u06cc \u0641\u0646\u06cc \u067e\u06cc\u0686\u06cc\u062f\u0647<\/li>\n<li>\u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u0627\u0631\u062a\u0628\u0627\u0637\u06cc \u062d\u0631\u0641\u0647\u200c\u0627\u06cc \u0628\u0631\u0627\u06cc \u0627\u0631\u0627\u0626\u0647 \u06af\u0632\u0627\u0631\u0634\u200c\u0647\u0627\u06cc \u0641\u0646\u06cc \u0648 \u0634\u0631\u06a9\u062a \u062f\u0631 \u062c\u0644\u0633\u0627\u062a \u0628\u0647 \u0632\u0628\u0627\u0646 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/li>\n<li>\u0627\u0635\u0648\u0644 \u0646\u06af\u0627\u0631\u0634 \u0645\u0633\u062a\u0646\u062f\u0627\u062a \u0641\u0646\u06cc (Technical Documentation) \u0628\u0647 \u0632\u0628\u0627\u0646 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f<\/li>\n<\/ul>\n<h3>\u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0628\u0631\u0627\u06cc \u0686\u0647 \u06a9\u0633\u0627\u0646\u06cc \u0637\u0631\u0627\u062d\u06cc \u0634\u062f\u0647 \u0627\u0633\u062a\u061f<\/h3>\n<p>\u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u06cc\u06a9 \u0641\u0631\u0635\u062a \u0628\u06cc\u200c\u0646\u0638\u06cc\u0631 \u0628\u0631\u0627\u06cc \u0627\u0641\u0631\u0627\u062f \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<ul>\n<li><strong>\u0645\u0647\u0646\u062f\u0633\u0627\u0646 \u062f\u0627\u062f\u0647 (Data Engineers):<\/strong> \u06a9\u0647 \u0631\u0648\u0632\u0627\u0646\u0647 \u0628\u0627 \u0627\u0628\u0632\u0627\u0631\u0647\u0627 \u0648 \u067e\u0644\u062a\u0641\u0631\u0645\u200c\u0647\u0627\u06cc \u0628\u06cc\u0646\u200c\u0627\u0644\u0645\u0644\u0644\u06cc \u06a9\u0644\u0627\u0646 \u062f\u0627\u062f\u0647 \u06a9\u0627\u0631 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f.<\/li>\n<li><strong>\u0645\u0639\u0645\u0627\u0631\u0627\u0646 \u0646\u0631\u0645\u200c\u0627\u0641\u0632\u0627\u0631 \u0648 \u0633\u06cc\u0633\u062a\u0645 (Software\/System Architects):<\/strong> \u06a9\u0647 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u0637\u0631\u0627\u062d\u06cc \u0648 \u062a\u062d\u0644\u06cc\u0644 \u0633\u06cc\u0633\u062a\u0645\u200c\u0647\u0627\u06cc \u062a\u0648\u0632\u06cc\u0639 \u0634\u062f\u0647 \u062f\u0631 \u0645\u0642\u06cc\u0627\u0633 \u0628\u0632\u0631\u06af \u062f\u0627\u0631\u0646\u062f.<\/li>\n<li><strong>\u0645\u0647\u0646\u062f\u0633\u0627\u0646 DevOps \u0648 SRE:<\/strong> \u06a9\u0647 \u0645\u0633\u0626\u0648\u0644 \u067e\u0627\u06cc\u062f\u0627\u0631\u06cc \u0648 \u0645\u0642\u06cc\u0627\u0633\u200c\u067e\u0630\u06cc\u0631\u06cc \u0632\u06cc\u0631\u0633\u0627\u062e\u062a\u200c\u0647\u0627\u06cc \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0647\u0633\u062a\u0646\u062f.<\/li>\n<li><strong>\u062a\u0648\u0633\u0639\u0647\u200c\u062f\u0647\u0646\u062f\u06af\u0627\u0646 \u0628\u06a9\u200c\u0627\u0646\u062f (Back-end Developers):<\/strong> \u06a9\u0647 \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u0646\u062f \u0628\u0647 \u0633\u0645\u062a \u0645\u0639\u0645\u0627\u0631\u06cc\u200c\u0647\u0627\u06cc \u0645\u062f\u0631\u0646 \u0645\u0627\u0646\u0646\u062f \u0645\u06cc\u06a9\u0631\u0648\u0633\u0631\u0648\u06cc\u0633\u200c\u0647\u0627 \u062d\u0631\u06a9\u062a \u06a9\u0646\u0646\u062f.<\/li>\n<li><strong>\u0645\u062f\u06cc\u0631\u0627\u0646 \u0641\u0646\u06cc \u0648 \u0631\u0647\u0628\u0631\u0627\u0646 \u062a\u06cc\u0645 (Tech Leads\/Managers):<\/strong> \u06a9\u0647 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u062f\u0631\u06a9 \u06af\u0632\u0627\u0631\u0634\u200c\u0647\u0627 \u0648 \u0645\u0642\u0627\u0644\u0627\u062a \u0641\u0646\u06cc \u062c\u0647\u0627\u0646\u06cc \u0628\u0631\u0627\u06cc \u062a\u0635\u0645\u06cc\u0645\u200c\u06af\u06cc\u0631\u06cc\u200c\u0647\u0627\u06cc \u0627\u0633\u062a\u0631\u0627\u062a\u0698\u06cc\u06a9 \u062f\u0627\u0631\u0646\u062f.<\/li>\n<li><strong>\u062f\u0627\u0646\u0634\u062c\u0648\u06cc\u0627\u0646 \u0627\u0631\u0634\u062f \u0648 \u0645\u062d\u0642\u0642\u0627\u0646 \u062d\u0648\u0632\u0647 \u06a9\u0627\u0645\u067e\u06cc\u0648\u062a\u0631:<\/strong> \u06a9\u0647 \u0628\u0631\u0627\u06cc \u067e\u06cc\u0634\u0628\u0631\u062f \u062a\u062d\u0642\u06cc\u0642\u0627\u062a \u062e\u0648\u062f \u0646\u06cc\u0627\u0632\u0645\u0646\u062f \u0645\u0637\u0627\u0644\u0639\u0647 \u0645\u0646\u0627\u0628\u0639 \u0627\u0635\u0644\u06cc \u0648 \u0645\u0642\u0627\u0644\u0627\u062a \u0631\u0648\u0632 \u062f\u0646\u06cc\u0627 \u0647\u0633\u062a\u0646\u062f.<\/li>\n<\/ul>\n<h3>\u0686\u0631\u0627 \u0628\u0627\u06cc\u062f \u062f\u0631 \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0634\u0631\u06a9\u062a \u06a9\u0646\u06cc\u062f\u061f (\u0645\u0632\u06cc\u062a \u0631\u0642\u0627\u0628\u062a\u06cc \u0634\u0645\u0627)<\/h3>\n<h4>\u06f1. \u062f\u0631\u0647\u0627\u06cc \u0641\u0631\u0635\u062a\u200c\u0647\u0627\u06cc \u0634\u063a\u0644\u06cc \u062c\u0647\u0627\u0646\u06cc \u0631\u0627 \u0628\u0627\u0632 \u06a9\u0646\u06cc\u062f<\/h4>\n<p>\u062f\u0627\u0646\u0634 \u0641\u0646\u06cc \u0628\u0647\u200c\u062a\u0646\u0647\u0627\u06cc\u06cc \u06a9\u0627\u0641\u06cc \u0646\u06cc\u0633\u062a. \u0634\u0631\u06a9\u062a\u200c\u0647\u0627\u06cc \u0628\u0632\u0631\u06af \u0628\u06cc\u0646\u200c\u0627\u0644\u0645\u0644\u0644\u06cc \u0628\u0647 \u062f\u0646\u0628\u0627\u0644 \u0645\u0647\u0646\u062f\u0633\u0627\u0646\u06cc \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u0628\u062a\u0648\u0627\u0646\u0646\u062f \u0628\u0647 \u0632\u0628\u0627\u0646 \u0645\u0634\u062a\u0631\u06a9 \u0641\u0646\u0627\u0648\u0631\u06cc \u0635\u062d\u0628\u062a \u06a9\u0646\u0646\u062f. \u0627\u06cc\u0646 \u062f\u0648\u0631\u0647 \u0634\u0645\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u0645\u0635\u0627\u062d\u0628\u0647\u200c\u0647\u0627\u06cc \u0641\u0646\u06cc \u062f\u0631 \u0634\u0631\u06a9\u062a\u200c\u0647\u0627\u06cc \u0628\u0632\u0631\u06af \u0622\u0645\u0627\u062f\u0647 \u0645\u06cc\u200c\u06a9\u0646\u062f \u0648 \u0631\u0632\u0648\u0645\u0647 \u0634\u0645\u0627 \u0631\u0627 \u062f\u0631 \u0633\u0637\u062d \u062c\u0647\u0627\u0646\u06cc \u0628\u0631\u062c\u0633\u062a\u0647 \u0645\u06cc\u200c\u0633\u0627\u0632\u062f.<\/p>\n<h4>\u06f2. \u0645\u0633\u062a\u0646\u062f\u0627\u062a \u0641\u0646\u06cc \u0631\u0627 \u0645\u0627\u0646\u0646\u062f \u06cc\u06a9 \u06a9\u062a\u0627\u0628 \u062f\u0627\u0633\u062a\u0627\u0646 \u0628\u062e\u0648\u0627\u0646\u06cc\u062f<\/h4>\n<p>\u062f\u06cc\u06af\u0631 \u0627\u0632 \u062e\u0648\u0627\u0646\u062f\u0646 \u0645\u0633\u062a\u0646\u062f\u0627\u062a \u0641\u0646\u06cc \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0648 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SLIs<\/li>\n<li>Understanding ‘Fault Tolerance’ and ‘Redundancy’<\/li>\n<li>CAP Theorem Explained: Consistency, Availability, Partition Tolerance<\/li>\n<li>… \u0648 \u0628\u06cc\u0634 \u0627\u0632 \u06f1\u06f0 \u0633\u0631\u0641\u0635\u0644 \u062f\u06cc\u06af\u0631 \u062f\u0631 \u0627\u06cc\u0646 \u0628\u062e\u0634<\/li>\n<\/ul>\n<h4>\u0628\u062e\u0634 \u062f\u0648\u0645: \u0632\u0628\u0627\u0646 \u062a\u062e\u0635\u0635\u06cc \u0627\u06a9\u0648\u0633\u06cc\u0633\u062a\u0645 Big Data<\/h4>\n<ul>\n<li>Core Vocabulary of the Hadoop Ecosystem (HDFS, YARN, MapReduce)<\/li>\n<li>Technical Language of Apache Spark: RDDs, DataFrames, and Structured Streaming<\/li>\n<li>Communicating about Data Ingestion and Processing Pipelines<\/li>\n<li>The English of Data Warehousing vs. Data Lakes<\/li>\n<li>… \u0648 \u0628\u06cc\u0634 \u0627\u0632 \u06f1\u06f5 \u0633\u0631\u0641\u0635\u0644 \u062f\u06cc\u06af\u0631 \u062f\u0631 \u0627\u06cc\u0646 \u0628\u062e\u0634<\/li>\n<\/ul>\n<h4>\u0628\u062e\u0634 \u0633\u0648\u0645: \u0627\u0635\u0637\u0644\u0627\u062d\u0627\u062a \u0645\u0639\u0645\u0627\u0631\u06cc\u200c\u0647\u0627\u06cc \u0645\u062f\u0631\u0646 (Cloud & Microservices)<\/h4>\n<ul>\n<li>Cloud-Native Terminology: The Vocabulary of AWS, Azure, & GCP<\/li>\n<li>Serverless Architecture: Function as a Service (FaaS) Language<\/li>\n<li>Microservices vs. Monolithic: The Communication Patterns<\/li>\n<li>The Language of Containerization: Docker and Kubernetes Explained<\/li>\n<li>API Gateway and Service Mesh: Key Terms and Concepts<\/li>\n<li>… \u0648 \u0628\u06cc\u0634 \u0627\u0632 \u06f2\u06f0 \u0633\u0631\u0641\u0635\u0644 \u062f\u06cc\u06af\u0631 \u062f\u0631 \u0627\u06cc\u0646 \u0628\u062e\u0634<\/li>\n<\/ul>\n<h4>\u0628\u062e\u0634 \u0686\u0647\u0627\u0631\u0645: \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc: \u062e\u0648\u0627\u0646\u062f\u0646\u060c \u0646\u0648\u0634\u062a\u0646 \u0648 \u0627\u0631\u062a\u0628\u0627\u0637<\/h4>\n<ul>\n<li>How to Read and Deconstruct a Technical Whitepaper<\/li>\n<li>Writing Effective Technical Documentation in English<\/li>\n<li>Phrases for Participating in Technical Meetings and Code Reviews<\/li>\n<li>Presenting a System Design in English<\/li>\n<li>… \u0648 \u0628\u06cc\u0634 \u0627\u0632 \u06f1\u06f5 \u0633\u0631\u0641\u0635\u0644 \u062f\u06cc\u06af\u0631 \u062f\u0631 \u0627\u06cc\u0646 \u0628\u062e\u0634<\/li>\n<\/ul>\n<p>\n <strong>\u0648 \u0627\u06cc\u0646 \u062a\u0646\u0647\u0627 \u06cc\u06a9 \u067e\u06cc\u0634\u200c\u0646\u0645\u0627\u06cc\u0634 \u0627\u0632 \u0645\u0633\u06cc\u0631 \u062c\u0627\u0645\u0639\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0634\u0645\u0627 \u0631\u0627 \u0627\u0632 \u06cc\u06a9 \u0645\u0647\u0646\u062f\u0633 \u0628\u0627 \u062f\u0627\u0646\u0634 \u0641\u0646\u06cc\u060c \u0628\u0647 \u06cc\u06a9 \u0645\u062a\u062e\u0635\u0635 \u0628\u06cc\u0646\u200c\u0627\u0644\u0645\u0644\u0644\u06cc 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\u0622\u0645\u0648\u0632\u0634\u06cc (\u067e\u06a9\u06cc\u062c \u06a9\u0627\u0645\u0644)<\/h2>\r\n <div\r\n style=\"background: #E8F5E9; border-radius: 12px; padding: 15px 20px; margin-bottom: 20px; border: 1px solid #A5D6A7;\">\r\n <h3 style=\"color: #1B5E20; margin-top: 0;\">\ud83d\udca1 \u0627\u06cc\u0646 \u0645\u062d\u0635\u0648\u0644 \u06cc\u06a9 \u0646\u0633\u062e\u0647\u0654 \u06a9\u0627\u0645\u0644 \u0648 \u062c\u0627\u0645\u0639 \u0627\u0633\u062a<\/h3>\r\n <p style=\"font-size:16px; line-height:1.8; color:#2E7D32; margin:0;\"> \u062a\u0645\u0627\u0645\u06cc \u0645\u062d\u062a\u0648\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u062f\u0631 \u0642\u0627\u0644\u0628 \u06cc\u06a9\r\n \u0628\u0633\u062a\u0647\u200c\u06cc \u06a9\u0627\u0645\u0644 \u0648 \u06cc\u06a9\u067e\u0627\u0631\u0686\u0647 \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f \u0648 \u0634\u0627\u0645\u0644 \u062a\u0645\u0627\u0645 \u0646\u0633\u062e\u0647\u200c\u0647\u0627 \u0648 \u0641\u0627\u06cc\u0644\u200c\u0647\u0627\u06cc \u0645\u0648\u0631\u062f\u0646\u06cc\u0627\u0632 \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0627\u0633\u062a. <\/p>\r\n <\/div>\r\n <h3 style=\"color: #2E7D32;\">\ud83c\udf81 \u0645\u062d\u062a\u0648\u06cc\u0627\u062a \u06a9\u0627\u0645\u0644 \u0628\u0633\u062a\u0647 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc<\/h3>\r\n\r\n\t\r\n<ul style=\"list-style-type: '\u2705 '; padding-left: 20px; font-size: 16px; line-height: 1.8;\">\r\n <li><strong>\u0648\u06cc\u062f\u06cc\u0648\u0647\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc \u0641\u0627\u0631\u0633\u06cc<\/strong> \u2014 \u0622\u0645\u0648\u0632\u0634 \u0642\u062f\u0645\u200c\u0628\u0647\u200c\u0642\u062f\u0645\u060c \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u0648 \u0642\u0627\u0628\u0644 \u0641\u0647\u0645<\/li>\r\n <li><strong>\u067e\u0627\u062f\u06a9\u0633\u062a\u200c\u0647\u0627\u06cc \u0635\u0648\u062a\u06cc \u0641\u0627\u0631\u0633\u06cc<\/strong> \u2014 \u062a\u0648\u0636\u06cc\u062d \u0645\u0641\u0627\u0647\u06cc\u0645 \u06a9\u0644\u06cc\u062f\u06cc \u0648 \u0646\u06a9\u0627\u062a \u062a\u06a9\u0645\u06cc\u0644\u06cc<\/li>\r\n <li><strong>\u06a9\u062a\u0627\u0628 PDF \u0641\u0627\u0631\u0633\u06cc<\/strong> \u2014 \u0634\u0627\u0645\u0644 \u06a9\u0644\u06cc\u0647\u0654 \u0633\u0631\u0641\u0635\u0644\u200c\u0647\u0627 \u0648 \u0645\u062d\u062a\u0648\u0627\u06cc \u0622\u0645\u0648\u0632\u0634\u06cc<\/li>\r\n <li><strong>\u06a9\u062a\u0627\u0628 \u062e\u0644\u0627\u0635\u0647 \u0646\u06a9\u0627\u062a \u0648\u06cc\u062f\u06cc\u0648\u0647\u0627 \u0648 \u067e\u0627\u062f\u06a9\u0633\u062a\u200c\u0647\u0627 \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong> \u2014 \u0645\u0646\u0627\u0633\u0628 \u0645\u0631\u0648\u0631 \u0633\u0631\u06cc\u0639 \u0648 \u062c\u0645\u0639\u200c\u0628\u0646\u062f\u06cc \u0645\u0628\u0627\u062d\u062b<\/li>\r\n <li><strong>\u06a9\u062a\u0627\u0628 \u0635\u062f\u0647\u0627 \u0646\u06a9\u062a\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062e\u0648\u062f\u0645\u0648\u0646\u06cc) \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong> \u2014 \u0632\u0628\u0627\u0646 \u0633\u0627\u062f\u0647 \u0648 \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc<\/li>\r\n <li><strong>\u06a9\u062a\u0627\u0628 \u0635\u062f\u0647\u0627 \u0646\u06a9\u062a\u0647 \u0631\u0633\u0645\u06cc \u0641\u0627\u0631\u0633\u06cc \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong> \u2014 \u0646\u06af\u0627\u0631\u0634 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f\u060c \u0639\u0644\u0645\u06cc \u0648 \u0645\u0646\u0627\u0633\u0628 \u0686\u0627\u067e<\/li>\r\n\r\n <li>\r\n <strong>\u06a9\u062a\u0627\u0628 \u0635\u062f\u0647\u0627 \u067e\u0631\u0633\u0634 \u0648 \u067e\u0627\u0633\u062e \u062a\u0634\u0631\u06cc\u062d\u06cc \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong><br>\r\n \u2014 \u0647\u0631 \u0633\u0624\u0627\u0644 \u0628\u0644\u0627\u0641\u0627\u0635\u0644\u0647 \u0647\u0645\u0631\u0627\u0647 \u0628\u0627 \u067e\u0627\u0633\u062e \u06a9\u0627\u0645\u0644 \u0648 \u0634\u0641\u0627\u0641 \u0627\u0631\u0627\u0626\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a\u061b \u0645\u0646\u0627\u0633\u0628 \u062f\u0631\u06a9 \u0639\u0645\u06cc\u0642 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0648 \u0631\u0641\u0639 \u0627\u0628\u0647\u0627\u0645.\r\n <\/li>\r\n\r\n <li>\r\n <strong>\u06a9\u062a\u0627\u0628 \u0635\u062f\u0647\u0627 \u067e\u0631\u0633\u0634 \u0648 \u067e\u0627\u0633\u062e \u0686\u0647\u0627\u0631\u06af\u0632\u06cc\u0646\u0647\u200c\u0627\u06cc \u2013 \u0646\u0633\u062e\u0647 PDF (\u0646\u0633\u062e\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0633\u0631\u06cc\u0639)<\/strong><br>\r\n \u2014 \u067e\u0627\u0633\u062e\u200c\u0647\u0627 \u0628\u0644\u0627\u0641\u0627\u0635\u0644\u0647 \u067e\u0633 \u0627\u0632 \u0633\u0624\u0627\u0644 \u0642\u0631\u0627\u0631 \u062f\u0627\u0631\u0646\u062f\u061b \u0645\u0646\u0627\u0633\u0628 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0633\u0631\u06cc\u0639 \u0648 \u062a\u062b\u0628\u06cc\u062a \u0645\u0637\u0627\u0644\u0628.\r\n <\/li>\r\n\r\n <li>\r\n <strong>\u06a9\u062a\u0627\u0628 \u0635\u062f\u0647\u0627 \u067e\u0631\u0633\u0634 \u0648 \u067e\u0627\u0633\u062e \u0686\u0647\u0627\u0631\u06af\u0632\u06cc\u0646\u0647\u200c\u0627\u06cc \u2013 \u0646\u0633\u062e\u0647 PDF (\u0646\u0633\u062e\u0647 \u062e\u0648\u062f\u0622\u0632\u0645\u0627\u06cc\u06cc \u067e\u0627\u06cc\u0627\u0646\u200c\u0628\u062e\u0634)<\/strong><br>\r\n \u2014 \u067e\u0627\u0633\u062e\u200c\u0647\u0627 \u062f\u0631 \u0627\u0646\u062a\u0647\u0627\u06cc \u0647\u0631 \u0628\u062e\u0634 \u0622\u0645\u062f\u0647\u200c\u0627\u0646\u062f\u061b \u0645\u0646\u0627\u0633\u0628 \u0622\u0632\u0645\u0648\u0646 \u0648\u0627\u0642\u0639\u06cc \u0648 \u0633\u0646\u062c\u0634 \u0645\u06cc\u0632\u0627\u0646 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc.\r\n <\/li>\r\n\r\n <li>\r\n <strong>\u06a9\u062a\u0627\u0628 \u062a\u0645\u0631\u06cc\u0646\u200c\u0647\u0627\u06cc \u062f\u0631\u0633\u062a \/ \u0646\u0627\u062f\u0631\u0633\u062a (True \/ False) \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong><br>\r\n \u2014 \u0645\u0646\u0627\u0633\u0628 \u0627\u0641\u0632\u0627\u06cc\u0634 \u062f\u0642\u062a \u0645\u0641\u0647\u0648\u0645\u06cc \u0648 \u062a\u0634\u062e\u06cc\u0635 \u0635\u062d\u06cc\u062d \u06cc\u0627 \u0646\u0627\u062f\u0631\u0633\u062a \u0628\u0648\u062f\u0646 \u06af\u0632\u0627\u0631\u0647\u200c\u0647\u0627.\r\n <\/li>\r\n\r\n <li>\r\n <strong>\u06a9\u062a\u0627\u0628 \u062a\u0645\u0631\u06cc\u0646\u200c\u0647\u0627\u06cc \u062c\u0627\u06cc \u062e\u0627\u0644\u06cc \u2013 \u0646\u0633\u062e\u0647 PDF<\/strong><br>\r\n \u2014 \u062a\u0642\u0648\u06cc\u062a \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0641\u0639\u0627\u0644 \u0648 \u062a\u0633\u0644\u0637 \u0628\u0631 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0648 \u0627\u0635\u0637\u0644\u0627\u062d\u0627\u062a \u06a9\u0644\u06cc\u062f\u06cc.\r\n <\/li>\r\n<\/ul>\r\n\t\r\n\t\r\n\t\r\n\t\r\n <p style=\"color: #388E3C; font-weight: bold; font-size: 18px; margin-top: 20px;\"> \ud83c\udfaf \u0627\u06cc\u0646 \u0628\u0633\u062a\u0647 \u06cc\u06a9 \u062f\u0648\u0631\u0647\u0654 \u0622\u0645\u0648\u0632\u0634\u06cc \u06a9\u0627\u0645\u0644 \u0648\r\n \u0686\u0646\u062f\u0644\u0627\u06cc\u0647 \u0627\u0633\u062a\u061b \u0634\u0627\u0645\u0644 \u0622\u0645\u0648\u0632\u0634 \u062a\u0635\u0648\u06cc\u0631\u06cc\u060c \u0635\u0648\u062a\u06cc\u060c \u06a9\u062a\u0627\u0628\u200c\u0647\u0627\u060c \u062a\u0645\u0631\u06cc\u0646\u200c\u0647\u0627 \u0648 \u062e\u0648\u062f\u0622\u0632\u0645\u0627\u06cc\u06cc . <\/p>\r\n <hr style=\"border: none; border-top: 1px dashed #81C784; margin: 20px 0;\">\r\n <h3 style=\"color: #2E7D32;\">\u2139\ufe0f \u0646\u06a9\u0627\u062a \u0645\u0647\u0645 \u0647\u0646\u06af\u0627\u0645 \u062e\u0631\u06cc\u062f<\/h3>\r\n <ul style=\"list-style-type: '\ud83d\udd38 '; padding-left: 20px; font-size: 15px; line-height: 1.9;\">\r\n <li>\u0627\u06cc\u0646 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a <strong>\u0641\u0627\u06cc\u0644 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc \u06a9\u0627\u0645\u0644<\/strong> \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f \u0648 \u0646\u0633\u062e\u0647\u0654 \u0686\u0627\u067e\u06cc \u0646\u062f\u0627\u0631\u062f.<\/li>\r\n <li>\u062a\u0645\u0627\u0645\u06cc \u0641\u0627\u06cc\u0644\u200c\u0647\u0627 \u0648 \u06a9\u062a\u0627\u0628\u200c\u0647\u0627 <strong>\u06a9\u0627\u0645\u0644\u0627\u064b \u0641\u0627\u0631\u0633\u06cc<\/strong> \u0647\u0633\u062a\u0646\u062f.<\/li>\r\n <li><strong>\u062a\u0648\u062c\u0647:<\/strong> \u0644\u06cc\u0646\u06a9\u200c\u0647\u0627\u06cc \u0627\u062e\u062a\u0635\u0627\u0635\u06cc \u062f\u0648\u0631\u0647 \u0637\u06cc <strong>\u06f4\u06f8 \u0633\u0627\u0639\u062a<\/strong> \u067e\u0633 \u0627\u0632 \u062b\u0628\u062a \u0633\u0641\u0627\u0631\u0634 \u0627\u0631\u0633\u0627\u0644 \u0645\u06cc\u200c\u0634\u0648\u0646\u062f.<\/li>\r\n <li>\u0646\u06cc\u0627\u0632\u06cc \u0628\u0647 \u062f\u0631\u062c \u0634\u0645\u0627\u0631\u0647 \u0645\u0648\u0628\u0627\u06cc\u0644 \u0646\u06cc\u0633\u062a\u061b \u0627\u0645\u0627 \u0628\u0631\u0627\u06cc \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc \u0633\u0631\u06cc\u0639\u200c\u062a\u0631 \u062a\u0648\u0635\u06cc\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.<\/li>\r\n <li>\u062f\u0631 \u0635\u0648\u0631\u062a \u0628\u0631\u0648\u0632 \u0645\u0634\u06a9\u0644 \u062f\u0631 \u062f\u0627\u0646\u0644\u0648\u062f \u0628\u0627 \u0634\u0645\u0627\u0631\u0647 <strong>09395106248<\/strong> \u062a\u0645\u0627\u0633 \u0628\u06af\u06cc\u0631\u06cc\u062f.<\/li>\r\n <li>\u0627\u06af\u0631 \u067e\u0631\u062f\u0627\u062e\u062a \u0627\u0646\u062c\u0627\u0645 \u0634\u062f\u0647 \u0648\u0644\u06cc \u0644\u06cc\u0646\u06a9\u200c\u0647\u0627 \u0631\u0627 \u062f\u0631\u06cc\u0627\u0641\u062a \u0646\u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u062f\u060c \u0646\u0627\u0645 \u0648 \u0646\u0627\u0645 \u062e\u0627\u0646\u0648\u0627\u062f\u06af\u06cc \u0648 \u0646\u0627\u0645 \u0645\u062d\u0635\u0648\u0644 \u0631\u0627 \u067e\u06cc\u0627\u0645\u06a9 \u06a9\u0646\u06cc\u062f \u062a\u0627\r\n \u0644\u06cc\u0646\u06a9\u200c\u0647\u0627 \u062f\u0648\u0628\u0627\u0631\u0647 \u0627\u0631\u0633\u0627\u0644 \u0634\u0648\u0646\u062f.<\/li>\r\n <\/ul>\r\n <p style=\"font-size: 16px; line-height: 1.8; margin-top: 15px;\"> \ud83d\udcac \u0631\u0627\u0647\u200c\u0647\u0627\u06cc \u0627\u0631\u062a\u0628\u0627\u0637\u06cc \u067e\u0634\u062a\u06cc\u0628\u0627\u0646\u06cc:<br> \u0648\u0627\u062a\u0633\u200c\u0627\u067e \u06cc\u0627 \u067e\u06cc\u0627\u0645\u06a9:\r\n <strong>09395106248<\/strong><br> \u062a\u0644\u06af\u0631\u0627\u0645: <strong>@ma_limbs<\/strong> <\/p>\r\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u062f\u0648\u0631\u0647 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