Explainable AI Courses and Certifications

How Can You Trust Machine Learning?

Explore a framework for trustworthy AI based on Clarity, Competence, and Alignment. Learn about explainable ML, rigorous model evaluation, and aligning AI behaviors with human values.

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

Developing Explainable AI (XAI)

Aprenda a desenvolver sistemas de IA explicáveis e confiáveis, dominando conceitos, técnicas e aplicações de XAI para criar soluções éticas e transparentes em domínios críticos.

• Coursera
• 8 hours 36 minutes
• On-Demand
• Free Online Course (Audit)

Explainable Machine Learning (XAI)

Aprenda técnicas de aprendizaje automático explicable para crear soluciones de IA transparentes y confiables. Implemente métodos locales y globales, visualice redes neuronales y explore enfoques para modelos generativos.

• Coursera
• 14 hours 43 minutes
• On-Demand
• Free Online Course (Audit)

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

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

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

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

Institute for Pure & Applied Mathematics (IPAM)

Explainable Structured Machine Learning in Similarity, Graph and Transformer Models

Explores techniques for explaining complex machine learning models, focusing on similarity, graph, and transformer structures. Discusses applications in knowledge evolution, gender bias, and task-solving.

• YouTube
• 53 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

Institute for Pure & Applied Mathematics (IPAM)

AI for the Sciences - Recent Developments for XAI - IPAM at UCLA

Explore recent advancements in Explainable AI for scientific applications, focusing on novel insights and developments presented by Klaus-Robert Müller at IPAM's workshop.

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

1littlecoder

Interpretable Machine Learning Use-Cases - Kaggle 30 Days of ML Day 15

Explore machine learning explainability, interpretability, and use cases for model insights. Learn about feature importance, debugging, and building trust in AI systems.

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

Association for Computing Machinery (ACM)

AI Explainability 360 - First Half of the Tutorial

Explore AI Explainability 360 toolkit: understand machine learning models, enhance transparency, and gain insights into AI decision-making processes for more responsible and ethical AI applications.

• YouTube
• 1 hour 32 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

Valerio Velardo - The Sound of AI

This AI Recognises Moods in Songs and Explains How It Does It

Explore a deep learning architecture for recognizing and explaining moods in songs, focusing on mid-level features, datasets, and potential applications in music emotion analysis.

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

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