Deploy, and operate AI models securely—from fine-tuning to production monitoring

Learn from Industry Leaders about:

• Fine-tuning and adapting foundation models for domain-specific enterprise use cases
• Model serving and inference optimization: vLLM, Ollama, and deployment at scale
• CI/CD for machine learning: automating ML and LLM pipelines for reliable delivery
• Monitoring, drift detection, and evaluation loops for models in production
• Infrastructure automation across clouds and clusters for scalable AI systems
• Security in AI operations: prompt injection, model extraction, and adversarial inputs
• Build vs. buy vs. fine-tune: the architectural, compliance, and cost trade-offs in practice