Explainable AI Courses and Certifications

Open Compute Project

Explainable AI to Increase Safe Use of AI - A Case of Manufacturing

Explore how explainable AI enhances safety and transparency in manufacturing processes, focusing on practical applications and implementation strategies.

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

Association for Computing Machinery (ACM)

Computational Argumentation for Fair and Explainable AI Decision-making

Explore computational argumentation techniques to build fair and explainable AI systems that make transparent, justifiable decisions in complex scenarios.

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

Harvard CMSA

Investigation of Data Clouds - From Galton's Ellipses to Explainable AI

Explore geometric approaches to statistical modeling from Galton's ellipses to explainable AI, introducing data molding concepts for unstructured big data analysis.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Explainable AI in Law and Justice

Discover how explainable AI transforms legal systems, exploring guidelines and contextual applications for transparent decision-making in law and justice.

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

Open and Understandable - Designing Explainable AI for Everyone

Discover how to build transparent AI systems using modular models and knowledge graphs that provide clear, step-by-step explanations for every decision made.

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

Explainable Machine Learning (XAI)

27 ratings at Coursera

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 48 minutes
• On-Demand
• Paid Course

Explainable Al (XAI) with Python

380 ratings at Udemy

Master explainable AI techniques using Python to build trustworthy models with LIME, SHAP, DiCE, and LRP through hands-on implementation across tabular, text, and image data.

• Udemy
• 7 hours 56 minutes
• On-Demand
• Paid Course

Coursera

Explain Black-Box Models

Master SHAP values and explainability methods to make black-box models transparent for executives and stakeholders through systematic comparison of XAI techniques.

• Coursera
• 3 hours 44 minutes
• On-Demand
• Paid Course

Coursera

Explainable AI: Scene Classification and GradCam Visualization

59 ratings at Coursera

Train a deep learning model for scene classification and use Grad-Cam to visualize how AI models interpret images, with practical applications in satellite imagery analysis.

• Coursera
• 1 hour 55 minutes
• On-Demand
• Paid Course

Responsible AI for Developers: Interpretability & Transparency

Explore AI interpretability and transparency techniques, including feature-based explanations and practical tools, to enhance responsible AI development and implementation.

• Google Skills
• 3 hours
• On-Demand
• Paid Course

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

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

Data Science Dojo

Hands-on Introduction to Interpreting Machine Learning Models

Explore methods for interpreting machine learning models, including feature importance and local explanations, to increase trust in AI products and bridge gaps in problem understanding.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

Alan Turing Institute

Turing Lecture - Algorithmic Accountability - Professor Ben Shneiderman, University of Maryland

Exploring algorithmic accountability and human-centered oversight for safer AI systems. Emphasizes comprehensible, predictable, and controllable designs to prevent failures and improve safety in critical services.

• YouTube
• 1 hour 22 minutes
• 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