Developing an Infrastructure as Code Framework for MLOps Using Generative AI Technologies

1. Introduction 1.1 Background and Motivation 1.2 Problem Statement 1.3 Research Objectives 1.4 Structure of the Thesis 2. Theoretical Foundations 2.1 Infrastructure as Code 2.2 MLOps Practices 2.3 Generative AI Technologies 3. Literature Review 3.1 Existing Frameworks and Tools 3.2 Challenges in Implementation 3.3 Success Stories and Case Studies 4. Methodology 4.1 Research Design 4.2 Data Collection Methods 4.3 Analysis Techniques 5. Proposed Framework Design 5.1 Architecture Overview 5.2 Components Description 5.3 Integration with MLOps 6. Implementation Details 6.1 Setup and Configuration 6.2 Customization Options 6.3 Security Considerations 7. Evaluation and Testing 7.1 Performance Metrics 7.2 Experimental Setup 7.3 Results Analysis 8. Conclusion and Future Work 8.1 Summary of Findings 8.2 Contributions to the Field 8.3 Limitations and Challenges 8.4 Recommendations for Future Research