Current

Intermediate

Building Trustworthy AI

Coursera · Coursera · Updated March 2026

Platform rating

4.3/5

Champ rating

7.8/10

Duration

3-6 months

Classes

150

Learn to build secure, fair, and trustworthy AI systems covering AI security, bias detection, governance, and compliance.

What you'll get

Detect and mitigate bias in AI systems

Build AI governance and compliance frameworks

Design trustworthy and explainable AI systems

Course Curriculum

12 chapters

Fit

Best for

AI Researchers

PhD Students

Mathematicians

Frontier Scientists

Not ideal for

Learners seeking only entry-level overviews

Prerequisites & pricing

Prerequisites

Basic AI/ML knowledge

Pricing

Subscription

Certification

Certificate

AI Safety

Trustworthy AI

Bias Detection

Governance

Compliance

ShareCompare

Add to StackGo to Course

Alternatives to Building Trustworthy AI

Compare

Current

Secure AI with Privacy and Access Controls

Coursera · Coursera

4.3

7.8/10

1-4 weeks

Learn to implement privacy-preserving AI including data loss prevention, access controls, GDPR compliance, and security frameworks.

Subscription

ViewAddCompare

Explore AI ethics, bias detection, fairness frameworks, and responsible AI practices from key principles to practical implementation.

Comprehensive course on AI safety covering alignment challenges, robustness testing, bias mitigation, and building safe AI systems.

Master the mathematics behind machine learning including linear algebra, calculus, probability, and statistics from DeepLearning.AI.