کتاب صوتی جاوا برای توسعه‌دهندگان Spring Cloud Autodesk AI Platform

🎓 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 تنظیم Environment Variables
• 3. مفاهیم اولیه: متغیرها، انواع داده، عملگرها
• 4. ساختارهای کنترلی: شرط ها (if, else, switch)
• 5. حلقه ها (for, while, do-while)
• 6. آرایه ها و کار با آنها
• 7. مقدمه ای بر برنامه نویسی شی گرا (OOP)
• 8. کلاس ها و اشیاء
• 9. وراثت (Inheritance)
• 10. چند ریختی (Polymorphism)
• 11. انتزاع (Abstraction)
• 12. Encapsulation
• 13. واسط ها (Interfaces)
• 14. کلاس های Abstract
• 15. Packages
• 16. مدیریت خطا و Exception Handling
• 17. IO Streams و فایل ها
• 18. Threads و Multi-threading
• 19. Collections Framework: Lists, Sets, Maps
• 20. Generics
• 21. Java Annotations
• 22. Lambdas Expressions و Stream API
• 23. Java Reflection
• 24. JDBC و کار با پایگاه داده
• 25. مقدمه ای بر Spring Framework
• 26. Dependency Injection (DI)
• 27. Inversion of Control (IoC)
• 28. Spring Beans و Configuration
• 29. Spring Context
• 30. Spring MVC: Controllers, Views, Models
• 31. RESTful Web Services with Spring MVC
• 32. Spring Boot: Auto-configuration, Starter dependencies
• 33. Creating a Spring Boot application
• 34. Spring Data JPA: Repositories, Entities
• 35. Spring Security: Authentication, Authorization
• 36. OAuth2 و JWT
• 37. Spring Cloud: Introduction and Architecture
• 38. Service Discovery with Eureka
• 39. API Gateway with Zuul/Spring Cloud Gateway
• 40. Circuit Breaker with Hystrix/Resilience4j
• 41. Configuration Management with Spring Cloud Config
• 42. Distributed Tracing with Sleuth and Zipkin
• 43. Load Balancing with Ribbon/LoadBalancer
• 44. Message Queues with RabbitMQ/Kafka
• 45. Event-Driven Architecture with Spring Cloud Stream
• 46. Containerization with Docker
• 47. Orchestration with Kubernetes
• 48. Introduction to Autodesk Forge API
• 49. Authentication with Autodesk Forge
• 50. Data Management API
• 51. Model Derivative API
• 52. Viewer API
• 53. BIM 360 API
• 54. Revit API (Overview)
• 55. Civil 3D API (Overview)
• 56. Fusion 360 API (Overview)
• 57. Introduction to Artificial Intelligence (AI)
• 58. Machine Learning (ML) Fundamentals
• 59. Deep Learning (DL) Fundamentals
• 60. AI Platforms Overview: TensorFlow, PyTorch
• 61. AI with Java: Deeplearning4j
• 62. Integrating AI models into Spring Cloud Applications
• 63. AI model deployment and management
• 64. AI model monitoring and optimization
• 65. Spring Cloud Stream for AI pipelines
• 66. Autodesk AI Platform: Introduction and Capabilities
• 67. Integrating Autodesk AI Platform with Spring Cloud
• 68. Developing AI-powered applications with Autodesk data
• 69. Building intelligent workflows with Autodesk and Spring Cloud
• 70. AI-driven automation in Autodesk platforms
• 71. AI for Design Automation with Autodesk Forge
• 72. AI for Predictive Maintenance with Autodesk
• 73. AI for Generative Design with Autodesk
• 74. Using AI to enhance user experience in Autodesk products
• 75. Data preprocessing for AI with Autodesk data
• 76. Feature engineering for AI with Autodesk data
• 77. Model training and evaluation with Autodesk data
• 78. Deployment of AI models on Autodesk platforms
• 79. Security considerations for AI applications in Autodesk
• 80. Scalability of AI applications in Autodesk and Spring Cloud
• 81. Monitoring and logging AI applications in Autodesk and Spring Cloud
• 82. Best practices for developing AI-powered Autodesk applications
• 83. Testing AI applications in Autodesk and Spring Cloud
• 84. Continuous Integration and Continuous Delivery (CI/CD) for AI
• 85. Advanced Spring Cloud features for AI
• 86. Microservices Architecture for AI applications
• 87. Serverless Computing with Spring Cloud Function for AI
• 88. Reactive Programming with Spring WebFlux for AI
• 89. Advanced topics in Autodesk AI Platform
• 90. Real-world examples of AI applications with Autodesk and Spring Cloud
• 91. Troubleshooting common issues with AI in Autodesk and Spring Cloud
• 92. Future trends in AI and Autodesk
• 93. Course review and final project
• 94. Advanced Spring Cloud concepts
• 95. Using Spring Cloud Kubernetes
• 96. Debugging Spring Cloud Applications
• 97. Security Best Practices for Spring Cloud
• 98. Scaling Spring Cloud Applications
• 99. Monitoring Spring Cloud Applications
• 100. Performance Tuning for Spring Cloud