AI-based systems are disrupting almost every industry – healthcare, finances, education, retail, media, marketing, social, economy, HR system, and many more. AI is helping us to make crucial decisions that are impacting millions of lives.
Hence it is important to understand how these decisions are made by the AI system. 
 Can we trust the Machine Learning, Deep Learning models, and their training algorithms?
The entire process involves a group of people. The bias can be introduced at every level of the entire cycle. How can we examine the fairness of the decision and predictions made by the AI / ML system? 
AWS Sagemaker Clarify is an intelligent solution to detect bias in dataset, model development, and each stage of Model Pipeline.
In this session, I will implement AWS Clarify Solution to explain the prediction of the Machine Learning Model.

Duration -1 hr. | Level - Intermediate| Ideal for students, professionals, startup owners who want to build scalable production-ready explainable AI/ML systems.