GenAI and MLOps

Build GenAI applications with retrieval augmented generation, evaluate and deploy models, and operate them reliably.

• RAG patterns and Vector stores
• Understand the end-to-end ML lifecycle and MLOps Principles
• Build data pipelines using Apache Airflow & DVC
• Package and deploy ML models using Docker & Kubernetes
• Track ML experiments and manage models using MLflow (local + AWS)
• Monitor data drift, model drift, performance, and latency