top of page
Our Courses
Machine Learning and Data Science
Explainable AI (XAI)
Topics Covered
Level :
Intermediate
Model interpretation, AI decision analysis, transparency
Course Summary
Build interpretable models, analyze decision-making processes, and enhance trust in AI systems.
Course Description
This course helps learners ensure that machine learning models are understandable, auditable, and safe to deploy in regulated or sensitive contexts.
Learning Modules
Module 1: Interpreting decisions with SHAP, LIME, and model-specific techniques.
Module 2: Developing transparent models for business use.
Module 3: Evaluating model fairness, confidence, and risk.
Ready to Take the Next Step?
Get tailored solutions for your business’s unique needs with our Consulting Services.
bottom of page