GenAI Prompting, Evaluation, and Governance
Completed by Olivier Hourez
January 21, 2026
2 hours (approximately)
Olivier Hourez's account is verified. Coursera certifies their successful completion of GenAI Prompting, Evaluation, and Governance
What you will learn
Performance monitoring is essential for maintaining AI system reliability and fairness across diverse user populations
Technical architecture decisions (fine-tuning vs RAG) require systematic evaluation of costs, capabilities, and maintenance requirements
Effective AI governance requires proactive policy creation, technical guardrails, and cross-functional collaboration to ensure responsible deployment
Sustainable AI operations depend on establishing measurable quality benchmarks and continuous feedback loops
Skills you will gain
- Category: Cost Benefit Analysis
- Category: Cross-Functional Team Leadership
- Category: AI Product Strategy
- Category: Quality Assessment
- Category: Model Optimization
- Category: Prompt Engineering
- Category: Large Language Modeling
- Category: Performance Analysis
- Category: Responsible AI
- Category: Data-Driven Decision-Making
- Category: Retrieval-Augmented Generation
- Category: Governance Risk Management and Compliance
