Trustworthy AI for MLOps
Offered By: MLOps World: Machine Learning in Production via YouTube
Course Description
Overview
Explore the critical aspects of implementing trustworthy AI in MLOps through this comprehensive conference talk from MLOps World: Machine Learning in Production. Delve into the challenges businesses face when deploying AI projects and learn strategies to overcome operational hurdles, skill gaps, and tooling issues. Discover how to address trust and transparency concerns that are crucial for turning AI into a genuine business advantage. Join IBM experts Courtney Branson, Jonathan Messihan, and Daniel Fleck as they share insights on monitoring and tackling these issues, drawing from their extensive experience in data science, AI implementation, and client solutions across various industries. Gain valuable knowledge on best practices for monitoring risk and compliance in data and machine learning models, particularly in the financial sector.
Syllabus
Trustworthy AI for MLOps
Taught by
MLOps World: Machine Learning in Production
Related Courses
Machine Learning Operations (MLOps): Getting StartedGoogle Cloud via Coursera Проектирование и реализация систем машинного обучения
Higher School of Economics via Coursera Demystifying Machine Learning Operations (MLOps)
Pluralsight Machine Learning Engineer with Microsoft Azure
Microsoft via Udacity Machine Learning Engineering for Production (MLOps)
DeepLearning.AI via Coursera