Algorithmic Bias Courses and Certifications

This learning path provides a comprehensive introduction to machine learning operations (MLOps), with a specific focus on generative AI.

• DataCamp
• 18 hours
• Self-Paced
• Free Trial Available

Responsible AI for Developers: Fairness & Bias - Deutsch

Der Kurs zeigt, wie sich Fairness und Verzerrungen in KI- und ML-Anwendungen mit Google-Cloud-Produkten und Open-Source-Tools erkennen und reduzieren lassen.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Responsible AI for Developers: Fairness & Bias - Português

Curso prático para identificar e reduzir vieses em dados e modelos de IA, aplicando princípios de imparcialidade com ferramentas do Google Cloud e código aberto.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Responsible AI for Developers: Fairness & Bias - Français

Découvrez des méthodes et outils pour identifier et limiter les biais dans les données et les modèles d’IA.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Responsible AI for Developers: Fairness & Bias - Indonesian

Pelajari teknik praktis untuk mengidentifikasi dan memitigasi bias AI melalui data, pemodelan, dan alat Responsible AI.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Responsible AI for Developers: Fairness & Bias - Polski

Praktyczne metody wykrywania i ograniczania uprzedzeń oraz wdrażania zasad sprawiedliwej AI w praktykach AI/ML.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Responsible AI for Developers: Fairness & Bias - 繁體中文

學習運用資料、模型與開放原始碼工具找出並減少 AI 系統中的公平性問題與偏誤。

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Responsible AI for Developers: Fairness & Bias - Italiano

Impara a identificare e mitigare equità e bias nei sistemi di IA attraverso tecniche applicate ai dati e alla modellizzazione.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Responsible AI for Developers: Fairness & Bias - Українська

Практичні методи й інструменти для виявлення та зменшення упередженості в системах штучного інтелекту й машинного навчання.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Responsible AI Use and Data Handling

Learn to use AI responsibly in your finance and accounting work, catching hallucinations before they reach a deliverable, protecting sensitive data, and spotting bias before it reaches a decision

• Corporate Finance Institute
• 2 hours
• Self-Paced
• Paid Course

Responsible AI for Developers: Fairness & Bias - 한국어

AI/ML 실무에서 공정성과 편향을 식별하고 완화하는 책임감 있는 AI 기법과 도구를 익힙니다.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Responsible AI for Developers: Fairness & Bias - 日本語版

AI/MLにおける公平性とバイアスを特定・軽減する実践的な手法を、Google Cloud製品とオープンソースツールで学ぶ。

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Data Science Ethics

1304 ratings at Coursera

Weigh the ethics of big data: informed consent, data ownership, privacy and anonymity, algorithmic fairness, and a two-point code of ethics for practitioners.

• Coursera
• 10 weeks, 1 hour a week
• Self-Paced
• Paid Course

GOTO Conferences

Addressing Algorithmic Bias

Examines how design and data choices produce algorithmic bias, then considers fairness trade-offs, auditing, and mitigation strategies.

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

NPTEL-NOC IITM

Algorithmic AI Decision Making - Bias and Discrimination in Criminal Justice Systems

Explore how AI algorithms impact criminal justice decisions, examining bias and discrimination in bail, parole, and other critical legal determinations.

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