Azure ML orchestration and deployment

There is always a challenge to create a DevOps solution for machine learning projects. In this session, an overview of the machine learning process will be delivered. Using Pipeline creates a workflow with speed, portability, and reusability, and we can focus on machine learning instead of infrastructure and automation. In this session, we learned how to create a Pipeline in three main authoring environments ( Azure ML designer, Automated ML and Notobook) and use the created REST API in a project. About our speaker: Leila is Microsoft AI and Data Platforms MVP since 2016, and she was first AI MVP in New Zealand and Australia. Leila has a Ph.D. in Information Systems from the University of Auckland. Leila is the co-director and data scientist in RADACAD Company with many clients around the world. She is one of the bloggers of RADACAD, with 800 articles and more than 9 million readers around the globe annually. Leila is the co-organiser of Microsoft Business Intelligence and Power BI Use group (Auckland meetup from 2021), SQL Saturday Auckland (from 2015 till now), Difinity Conference ( from 2017 till now), Auckland AI global community (from 2018 till now). She is an international speaker at most Microsoft conferences and has facilitated over 200 sessions and full-day workshops). She loves solving Jigsaw puzzles, playing board games, and her dogs' company!