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Intermediate
Artificial Intelligence & Machine Learning
en
Responsible AI
Udacity
Platform
· California, USA
About this course
This intermediate nanodegree program teaches you how to turn AI governance principles into technical implementation. You will learn Governance-as-Code by translating regulations like the EU AI Act and GDPR into automated engineering workflows. Build skills in managing, versioning, and securing structured, unstructured, and multimodal data for generative AI and RAG systems. Conduct ethical audits, implement human-in-the-loop safeguards, protect enterprise IP, and support Sovereign AI strategies. By the end of the program, you will be able to design scalable governance frameworks that improve compliance, security, transparency, and responsible AI deployment.
Prerequisite Skills
Skills you should have before taking this course
Command line interface basics
Generative AI fundamentals
Python for data science
Foundation model concepts
Data encryption
Skills Gained
Skills you will develop by completing this course
Multimodal data pipelines
Multimodal data processing
Metadata management
Synthetic data generation
Synthetic data evaluation
AI data lifecycle
AI governance
Ethical auditing of AI systems