MLOps 108 – Observability & Compliance

(Weeks 16–18 | Lec 9 Hrs / Lab 27 Hrs / Ext 0 Hrs | 36 Total Hrs | 1.2 Credit Hrs)
Students will:

• Apply observability techniques across ML systems
• Build explainability (XAI) modules for models
• Implement AI model compliance frameworks
• Address fairness, bias, privacy, and security in AI deployments

Prerequisite: MLOps 107 – LLMOps & GenAI Deployment
Tools: WhyLabs, Weights & Biases, TensorBoard