Demonstrate and discuss how to automate an end to end ML/AI project. Will touch on DevOps tasks for data sanity test, model training on different compute targets, model version management, model evaluation/model selection, model deployment as real-time web service, staged deployment to QA/prod, integration testing and functional testing.

What will you learn from session - Devops best practices for ML projects.

Speaker Bio: Soniya Mehta
Soniya is an AI/ML professional working at EXL Healthcare, Chennai with an academic background in Statistics. Apart from ML development, her diverse work experience includes designing and building ML systems and platforms, model deployments and task automation. She's passionate about making AI accessible to all. She loves sharing and speaking at community events, is a cloud enthusiast and open source aficionado.

Social Handle
LinkedIn- https://www.linkedin.com/in/soniyamehta/