دوره جاوا برای توسعه‌دهندگان Spring Cloud Autodesk AI Platform همراه با فلش‌کارت آموزشی — ارائه روی فلش مموری

🎓 دوره آموزشی جامع

📚 اطلاعات دوره

عنوان دوره: دوره جاوا برای توسعه‌دهندگان Spring Cloud Autodesk AI Platform

موضوع کلی: برنامه نویسی

موضوع میانی: جاوا (Java)

📋 سرفصل‌های دوره

• 1. مقدمه ای بر برنامه نویسی و جاوا
• 2. نصب و راه اندازی JDK و IDE (IntelliJ IDEA/Eclipse)
• 3. متغیرها، انواع داده و عملگرها در جاوا
• 4. دستورات شرطی (if, else, switch)
• 5. حلقه ها (for, while, do-while)
• 6. آرایه ها و لیست ها
• 7. مقدمه ای بر برنامه نویسی شیء گرا (OOP)
• 8. کلاس ها و اشیاء
• 9. وراثت
• 10. چند ریختی (Polymorphism)
• 11. Encapsulation (کپسوله سازی)
• 12. Interface (رابط)
• 13. Abstract Class (کلاس انتزاعی)
• 14. Packages (بسته ها)
• 15. Exception Handling (مدیریت خطاها)
• 16. Java Collections Framework (مقدمه)
• 17. List (ArrayList, LinkedList)
• 18. Set (HashSet, TreeSet)
• 19. Map (HashMap, TreeMap)
• 20. Genericها
• 21. I/O Streams (ورودی/خروجی)
• 22. Threads (مقدمه)
• 23. Creating and Running Threads
• 24. Thread Synchronization
• 25. Thread Pooling
• 26. Concurrency Utilities
• 27. Java Database Connectivity (JDBC)
• 28. Connecting to a Database
• 29. Executing SQL Queries
• 30. Handling Result Sets
• 31. Transactions
• 32. Introduction to Spring Framework
• 33. Dependency Injection (DI)
• 34. Inversion of Control (IoC)
• 35. Spring Beans
• 36. Spring Context
• 37. Spring Configuration
• 38. Spring MVC (مقدمه)
• 39. Controllers
• 40. Views
• 41. Model
• 42. Request Mapping
• 43. Spring Data JPA (مقدمه)
• 44. Repositories
• 45. Entities
• 46. CRUD Operations
• 47. Spring Boot (مقدمه)
• 48. Auto-Configuration
• 49. Starter Dependencies
• 50. Spring Boot Actuator
• 51. Introduction to Spring Cloud
• 52. Service Discovery (Eureka)
• 53. Configuration Management (Spring Cloud Config)
• 54. API Gateway (Zuul/Spring Cloud Gateway)
• 55. Circuit Breaker (Hystrix/Resilience4J)
• 56. Load Balancing (Ribbon/LoadBalancer)
• 57. Message Queues (RabbitMQ/Kafka)
• 58. Introduction to Autodesk AI Platform
• 59. Autodesk Platform Services APIs
• 60. Authentication and Authorization
• 61. Data Management API
• 62. Model Derivative API
• 63. Viewer API
• 64. Design Automation API
• 65. Working with Autodesk Data in Java
• 66. Fetching Data from Autodesk APIs
• 67. Processing Autodesk Data
• 68. Integrating Autodesk AI Platform with Spring Cloud
• 69. Building Microservices with Spring Cloud for Autodesk AI Platform
• 70. Developing RESTful APIs with Spring Boot
• 71. Securing APIs with OAuth 2.0
• 72. Testing RESTful APIs (JUnit, Mockito)
• 73. Logging with SLF4J and Logback
• 74. Monitoring Microservices with Prometheus and Grafana
• 75. Building Docker Images for Microservices
• 76. Deploying Microservices to Kubernetes
• 77. Continuous Integration and Continuous Delivery (CI/CD)
• 78. Best Practices for Microservice Architecture
• 79. Advanced Spring Data JPA
• 80. Custom Queries
• 81. Transactions Management
• 82. Performance Optimization
• 83. Advanced Spring Cloud Concepts
• 84. Distributed Tracing (Zipkin/Jaeger)
• 85. Event Sourcing
• 86. CQRS (Command Query Responsibility Segregation)
• 87. Advanced Autodesk AI Platform APIs
• 88. Machine Learning APIs
• 89. Computer Vision APIs
• 90. Natural Language Processing APIs
• 91. Custom Model Training
• 92. Integrating AI Models into Microservices
• 93. Security Considerations for AI-Powered Applications
• 94. Scalability and Performance Optimization for AI Applications
• 95. Building a Complete Application with Spring Cloud and Autodesk AI Platform (Project Setup)
• 96. Implementing User Authentication and Authorization
• 97. Building a Data Management Service
• 98. Implementing a Model Processing Service
• 99. Creating a Visualization Service
• 100. Implementing AI-Powered Features