GenAI Prompting, Evaluation, and Governance
Completed by Jun Hansen
June 18, 2026
2 hours (approximately)
Jun Hansen'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: System Monitoring
- Category: Generative AI
- Category: Cross-Functional Team Leadership
- Category: Governance Risk Management and Compliance
- Category: Risk Management Framework
- Category: Performance Analysis
- Category: Large Language Modeling
- Category: Model Optimization
- Category: Prompt Engineering
- Category: AI Product Strategy
- Category: Governance
- Category: Risk Management
