SHAP Courses and Certifications

Explainable Artificial Intelligence (XAI) Concepts

Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.

• DataCamp
• 1 hour
• On-Demand
• Free Trial Available

Explainable AI in Python

Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Explainable Machine Learning (XAI)

Develop transparent and trustworthy AI solutions using explainable machine learning techniques. Implement local and global explainability methods, visualize neural networks, and explore emerging approaches for large language models.

• Coursera
• 14 hours 33 minutes
• On-Demand
• Free Online Course (Audit)

AI for Business - AI Applications for Business Success

823 ratings at Udemy

Learn how to leverage the power of AI to solve your business objectives

• Udemy
• 2 hours 15 minutes
• On-Demand
• Paid Course

Data Mining for Business Analytics & Data Analysis in Python

342 ratings at Udemy

Python for Data Analytics & Explainable Artificial Intelligence. Data Mining for Business Data Analytics & Intelligence.

• Udemy
• 9 hours
• On-Demand
• Paid Course

XAI: Explainable AI

216 ratings at Udemy

How to explain your machine learning models in Python

• Udemy
• 2 hours 2 minutes
• On-Demand
• Paid Course

How Can I Explain This to You? An Empirical Study of Deep Neural Net Explanation Methods - Spring 2021

Empirical study comparing deep neural network explanation methods, examining usability, stability, and privacy risks across various visual explanation frameworks.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions

121 ratings at LinkedIn Learning

Learn best practices for how to produce explainable AI and interpretable machine learning solutions.

• LinkedIn Learning
• 2 hours 10 minutes
• On-Demand
• Free Trial Available

Guided Project: Predict World Cup Soccer Results with ML

In this beginner-friendly, hands-on guided project, develop your data science and machine learning skills in under an hour by building a prediction model for the 2022 FIFA World Cup. Perfect for anyone interested in learning more about prediction models.

• edX
• 1 week
• On-Demand
• Free Online Course (Audit)

1littlecoder

What is Interpretable Machine Learning - ML Explainability - with Python LIME Shap Tutorial

Explore interpretable machine learning with Python, covering LIME and SHAP techniques for explainable AI. Learn why ML explainability matters and how to implement it in your projects.

• YouTube
• 41 minutes
• On-Demand
• Free Video

1littlecoder

Understanding SHAP Summary Plot - Interpretable Machine Learning - Day 19

Explore SHAP and Shapley values for interpretable machine learning, focusing on summary plots and dependence plots to enhance model explainability and insights.

• YouTube
• 21 minutes
• On-Demand
• Free Video

1littlecoder

SHAP and Shapley Values for Interpretable Machine Learning - Kaggle 30 Days of ML Day 18

Explore SHAP and Shapley Values for interpretable machine learning. Learn local interpretation techniques, Python implementation, and visualization methods for explainable AI.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Association for Computing Machinery (ACM)

Probing ML Models for Fairness with the What-if Tool and SHAP

Explore ML model fairness using What-if Tool and SHAP. Learn to analyze and visualize model behavior, detect biases, and understand feature importance for responsible AI development.

• YouTube
• 56 minutes
• On-Demand
• Conference Talk

Mitigating Bias in Models with SHAP and Fairlearn

Learn techniques to identify and mitigate bias in machine learning models using SHAP and Fairlearn, enhancing fairness and transparency in AI systems.

• YouTube
• 42 minutes
• On-Demand
• Free Video

MLCon | Machine Learning Conference

First Steps to Interpretable Machine Learning

Explore interpretable machine learning using SHAP values to understand model predictions and feature importance, based on a real data science project with practical insights.

• YouTube
• 21 minutes
• On-Demand
• Conference Talk