Explainable AI Courses and Certifications

MLCon | Machine Learning Conference

Explainable AI with Machine Teaching

Explore the shift from Machine Learning to Machine Teaching, addressing explainability, data access, and algorithm control. Learn about transformative industry applications and real-world examples.

• YouTube
• 21 minutes
• Self-Paced
• Conference Talk

AI Institute at UofSC - #AIISC

Developing Explainable Multimodal AI Models on the Life-Cycle of Rare Event Prediction

Gain insights into developing explainable multimodal AI models for rare event prediction through hands-on sessions covering data generation, preprocessing, model development, and evaluation using a new multimodal dataset.

• YouTube
• 1 hour 34 minutes
• Self-Paced
• Free Video

Devoxx

Explainable AI Analysis Visualization - Applications from Brain Computer Interfaces to ChatGPT

Explore cutting-edge applications of explainable AI, from brain-computer interfaces to ChatGPT, with a focus on analysis and visualization techniques.

• YouTube
• 55 minutes
• Self-Paced
• Conference Talk

PASS Data Community Summit

Visualization Best Practices for Explainable AI

Explore machine learning visualization techniques for explainable AI across industries, covering model understanding, data analysis, and performance evaluation using Jupyter, Python, and Power BI.

• YouTube
• 58 minutes
• Self-Paced
• Conference Talk

Alan Turing Institute

Architecting for Autonomy - A Federated and Explainable AI Blueprint for UK Public Services

Discover how federated and explainable AI can transform UK public services through autonomous system architecture and implementation strategies.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Accountability, Transparency, and Governance

1 rating

Explore accountability, transparency, and governance frameworks shaping AI's responsible deployment across finance, education, and social media sectors.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Natural Language Processing and Capstone Assignment

50 ratings at Coursera

Explore natural language processing, sentiment analysis, topic modeling, and emerging trends in data science. Apply learned techniques to develop a comprehensive data analytics plan.

• Coursera
• 4 hours 56 minutes
• Self-Paced
• Paid Course

Interpretable Machine Learning

30 ratings at Coursera

Develop transparent and trustworthy AI solutions using interpretable machine learning techniques. Master regression models, decision trees, neural networks, and mechanistic interpretability for responsible AI in high-risk domains.

• Coursera
• 13 hours 33 minutes
• Self-Paced
• Paid Course

Modern Artificial Intelligence Masterclass: Build 6 Projects

2697 ratings at Udemy

Harness the power of AI to solve practical, real-world problems in Finance, Tech, Art and Healthcare

• Udemy
• 15 hours 48 minutes
• Self-Paced
• Paid Course

Fundamentals of Responsible Artificial Intelligence/ML

2124 ratings at Udemy

Designing and mantaining AI/ML models that help data subjects, are explainable, are not biased, and are compliant.

• Udemy
• 22 hours 56 minutes
• Self-Paced
• Paid Course

Coursera

Interpretable Machine Learning Applications: Part 1

109 ratings at Coursera

Learn to create interpretable machine learning applications using decision trees and random forests. Gain insights into feature importance and model behavior for more accountable and trusted ML applications.

• Coursera
• 1 hour 40 minutes
• Self-Paced
• Paid Course

Artificial Intelligence Privacy and Convenience

109 ratings at Coursera

Explore security, privacy, and ethics in machine learning, balancing user protection with model utility. Learn dataset security, privacy methods, and transparent AI implementation.

• Coursera
• 4 hours 51 minutes
• Self-Paced
• Paid Course

Career Certificate

Informed Clinical Decision Making using Deep Learning

36 ratings at Coursera

Explore deep learning applications in Electronic Health Records, focusing on data mining, predictive analytics, explainable models, and clinical decision support systems for healthcare.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Explainable deep learning models for healthcare - CDSS 3

15 ratings at Coursera

Explore interpretability and explainability in machine learning for healthcare, covering global and local methods, state-of-the-art techniques, and attention mechanisms in deep learning models.

• Coursera
• 1 day 6 hours 5 minutes
• Self-Paced
• Paid Course

Clinical Decision Support Systems

Explore key concepts in Clinical Decision Support Systems, including ML evaluation, fairness assessment, decision curve analysis, explainability, and privacy concerns in deep learning models.

• Coursera
• 8 hours
• Self-Paced
• Paid Course