AI/ML Ops - 635.603

This course is designed to provide an in-depth understanding of AI/ML Ops, a discipline that combines artificial intelligence (AI) and machine learning (ML) with operations and IT practices. The course covers the introduction to AI and ML Ops, including the framework for building and deploying AI/ML models, the infrastructure for ML, data management, and the road to AI adoption. The course also provides insights into model training and deployment, AI/ML Ops features, stages of AI/ML Ops, preparing for production, deploying to production, AI/ML security, governance, and future trends in AI/ML Ops. The course will conclude with practical applications of AI/ML Ops. By the end of the course, students will have the skills to design and implement an MLOps strategy for an organization. Prerequisites: Working knowledge of Python