AI Ethics & Responsible AI
Build AI you can be proud of. Understand bias, fairness, transparency, privacy, and accountability — and learn the frameworks, tools, and regulations shaping responsible AI development.
What You'll Learn
Identify and measure different types of bias in ML datasets and models
Apply fairness metrics and de-biasing techniques
Explain model predictions using SHAP, LIME, and feature importance
Design AI systems that protect user privacy (differential privacy, federated learning)
Understand global AI regulations: EU AI Act, GDPR, and emerging frameworks
Write an ethical AI policy document for a real-world project
Curriculum Breakdown
Learning Format
Video Lessons
High-quality recorded lessons you can watch at your own pace.
Hands-on Projects
Real-world projects that reinforce every concept you learn.
Certificate
Earn a verifiable certificate upon successful completion.
Certification Details
AI Ethics & Responsible AI Certificate
Issued by Tech101
Demonstrate your commitment to ethical, fair, and accountable AI development.
Certificate Requirements
- Shareable on LinkedIn
- PDF download
- Unique verification ID
Completion Certificate
Awarded upon finishing all course content and submitting projects. Shows dedication and completion.
Graded Certificate
Earned by passing the final assessment with 70%+ score. Demonstrates verified skill proficiency.
Your Instructor
James Kim
Python Developer & Data Engineer
James specialises in Python and data engineering pipelines, with experience at Netflix and Amazon Web Services.
Requirements & Prerequisites
Technical Requirements
- Basic understanding of machine learning concepts
- No advanced maths required — focus is conceptual and applied
Who This Course Is For
- Any ML practitioner who wants to build responsibly
- Product managers and engineers working on AI-powered products
- Students completing the Data Science & AI track
Student Reviews
Frequently Asked Questions
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