Monitoring and maintaining the performance of AI systems is critical to ensuring they function correctly and efficiently over time. This course focuses on the real-time performance tracking and optimization of ChatGPT deployments, providing a deep dive into the metrics and tools necessary for monitoring AI systems. Participants will explore techniques for identifying issues, analyzing logs, and creating custom dashboards to visualize system performance. The course will also cover troubleshooting common performance problems and error handling strategies, ensuring participants are well-equipped to manage and resolve AI-related issues in live environments.

Throughout the five-day course, attendees will gain hands-on experience in implementing real-time monitoring frameworks, optimizing prompt engineering, and scaling AI deployments to handle increased loads. This course is designed to offer practical knowledge that participants can immediately apply in their AI projects, helping them maintain optimal performance and continuously improve their AI systems over time.