Interpretability Courses and Certifications

Centre International de Rencontres Mathématiques

Symbolic Language Models: Applications and Interpretability - Lecture 1

Découvrez les modèles de langage symboliques, leurs applications et leur interprétabilité dans cette conférence mathématique de François Charton au CIRM.

• YouTube
• 1 hour 36 minutes
• On-Demand
• Free Video

Neural Magic

Towards Combinatorial Interpretability of Neural Computation

Explore a novel combinatorial approach to neural network interpretability through the Feature Channel Coding Hypothesis, revealing how networks compute Boolean expressions and the natural limitations of code interference.

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

UofU Data Science

Interpretability of LLMs - Superposition

Explore superposition in large language models and understand how neural networks represent multiple features in fewer dimensions through interpretability techniques.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

Responsible AI for Developers: Interpretability & Transparency

13 ratings at Coursera

Explore AI interpretability and transparency techniques, gaining practical skills to enhance data and model clarity for responsible AI development.

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

Responsible AI for Developers: Interpretability & Transparency - 繁體中文

探討 AI 可解釋性和透明度的重要性，介紹實用技術和工具，幫助開發人員和工程師提高 AI 模型的可解釋性，並實現負責任的 AI 開發。

• Coursera
• 3 hours 10 minutes
• On-Demand
• Paid Course

Responsible AI for Developers: Interpretability & Transparency - Español

Explora técnicas y herramientas para lograr interpretabilidad y transparencia en modelos y datos de IA, enfocándose en su importancia para desarrolladores y ingenieros.

• Coursera
• 3 hours 10 minutes
• On-Demand
• Paid Course

Responsible AI for Developers: Interpretability & Transparency - Bahasa Indonesia

Memperkenalkan konsep penafsiran dan transparansi AI, mengeksplorasi metode dan alat praktis untuk mencapai hal tersebut dalam pengembangan model data dan AI yang bertanggung jawab.

• Coursera
• 3 hours 10 minutes
• On-Demand
• Paid Course

Responsible AI: Interpretability & Transparency - Deutsch

Konzepte, Techniken und Tools zur Optimierung der Interpretierbarkeit und Transparenz von KI-Modellen und Daten für verantwortungsvolle KI-Entwicklung.

• Coursera
• 3 hours 10 minutes
• On-Demand
• Paid Course

Responsible AI for Developers: Interpretability & Transparency - Português Brasileiro

Aprenda conceitos e técnicas de interpretabilidade e transparência em IA, incluindo ferramentas práticas para desenvolvedores e engenheiros aplicarem em dados e modelos.

• Coursera
• 3 hours 10 minutes
• On-Demand
• Paid Course

Responsible AI for Developers: Interpretability & Transparency - 日本語版

AIの解釈可能性と透明性に焦点を当て、開発者とエンジニア向けに実践的な手法とツールを紹介。データとモデルの両面からアプローチし、責任あるAI開発を支援。

• Coursera
• 3 hours 10 minutes
• On-Demand
• Paid Course

Responsible AI for Developers: Interpretability & Transparency - 한국어

AI 해석 가능성과 투명성의 개념, 중요성, 구현 방법을 소개하며 개발자와 엔지니어에게 실용적인 도구와 기법을 제공합니다.

• Coursera
• 3 hours 10 minutes
• On-Demand
• Paid Course

Responsible AI for Developers: Interpretability & Transparency - Italiano

Introduzione a interpretabilità e trasparenza nell'AI, con tecniche e strumenti pratici per sviluppatori per implementare questi principi nei dati e modelli.

• Coursera
• 3 hours 10 minutes
• On-Demand
• Paid Course

Responsible AI for Developers: Interpretability & Transparency - Polski

Poznaj techniki i narzędzia do osiągania interpretowalności i przejrzystości w modelach AI. Zdobądź praktyczną wiedzę na temat odpowiedzialnego rozwoju sztucznej inteligencji.

• Coursera
• 3 hours 10 minutes
• On-Demand
• Paid Course

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

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