Explainable AI Courses and Certifications

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

Microcredential

Explainable AI (XAI)

81 ratings at Coursera

Develop transparent and trustworthy AI systems for high-risk domains. Master XAI concepts, interpretable machine learning, and advanced explainability techniques through hands-on programming and case studies.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Developing Explainable AI (XAI)

57 ratings at Coursera

Gain skills to develop transparent, trustworthy AI systems using Explainable AI techniques. Learn key concepts, evaluate approaches, and apply XAI to emerging trends like Generative AI.

• Coursera
• 8 hours 41 minutes
• On-Demand
• Paid Course

XAI: Explainable AI

238 ratings at Udemy

How to explain your machine learning models in Python

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

Explore techniques to interpret deep neural networks, understand AI decision-making, and learn about legal rights to explanation in responsible AI development.

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

Unlock explainable AI techniques to interpret machine learning models, from linear regression to neural networks, using SHAP, LIME, and feature importance methods.

• Codecademy
• 3 hours
• On-Demand
• Free Trial Available

Open Data Science

Explainable AI - Methods, Applications & Recent Developments

Explore Explainable AI methods, applications, and developments with Dr. Samek. Learn about Layer-wise Relevance Propagation for various data types and neural architectures, and discuss challenges in the field.

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

UCLA Automated Reasoning Group

Logic for Explainable AI - Tutorial

Explore a comprehensive theory of explainable AI using symbolic logic, covering necessary and sufficient conditions for decisions, minimal perturbations, and applications to various classifier types.

• YouTube
• 1 hour 55 minutes
• On-Demand
• Free Video

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: Interpreting, Explaining and Visualizing Deep Learning

Explore techniques for interpreting and explaining deep learning models, focusing on LRP rules, Taylor decomposition, and properties of effective explanations in AI systems.

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

Towards Explainable and Reliable AI Models for Optimization

Explore cutting-edge approaches to developing transparent and dependable AI optimization models, focusing on explainability and reliability in machine learning applications.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Towards Higher-Order and Disentangled Explainable AI

Explore advanced techniques in Explainable AI, including higher-order explanations and disentangled components, to enhance the interpretability of complex machine learning models.

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

AGU

Explainable AI for the Geosciences

Explore machine learning interpretation techniques in geoscience, focusing on climate science applications and their potential for scientific discovery and increased trust in AI outputs.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Molecular Imaging & Therapy

Explainable AI Techniques Towards Clinical Adoption in Medical Imaging

Explore XAI techniques for medical imaging, focusing on post-hoc and ad-hoc methods, disease-specific applications, and categorization schemes for clinical adoption.

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

Valence Labs

Crippen's logP as a Quantitative Molecular Benchmark for Explainable AI Heatmaps

Explore Crippen's logP as a quantitative benchmark for explainable AI heatmaps in molecular modeling. Learn about atomic attribution methods and their applications in chemical property prediction.

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