Course Description:
This course focuses on managing large language models (LLMs) in production environments. Learners will master monitoring, evaluation, and guardrail techniques alongside optimization strategies for resource efficiency and latency reduction.

Lecture 1: Monitoring and Observability
Understand how to implement comprehensive logging, tracing, and performance evaluation to maintain robust LLM systems. Learn to apply guardrails and effective data labeling for improved model reliability.

Key Objectives:

• Logging and tracing systems
• Performance evaluation (Evals)
• Guardrails implementation
• Data labeling strategies

Lecture 2: Optimization Techniques
Explore methods to optimize LLM deployments through intelligent model selection, routing, resource management, and cost reduction. Learn best practices to minimize latency in real-time applications.

Key Objectives:

• Model selection and routing
• Resource allocation
• Cost optimization
• Latency reduction