Complete Course Syllabus
Spring Boot with AI and Machine Learning Models
Introduction to AI and ML Concepts
Choosing the Right ML Frameworks for Java (JMLC, Deeplearning4j)
Setting Up Development Environment for AI/ML in Spring Boot
Integrating ML Models into Spring Boot Applications
REST APIs for Model Serving (Prediction Endpoints)
Data Preprocessing and Feature Engineering within Spring Boot
Asynchronous Processing with AI/ML Models
Model Deployment Strategies (Local, Cloud)
Monitoring and Logging for AI/ML Applications
Security Considerations for AI/ML in Spring Boot
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