Did you know that 85% of organizations deploying generative AI systems experience significant performance degradation within the first six months due to inadequate monitoring and governance? As AI becomes mission-critical for business operations, the ability to maintain consistent, high-quality outputs while managing risks has become one of the most sought-after skills in the industry.
GenAI Prompting, Evaluation, and Governance
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您将学到什么
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
您将获得的技能
- Risk Management
- Large Language Modeling
- Prompt Engineering
- Gap Analysis
- Data-Driven Decision-Making
- Performance Metric
- Performance Analysis
- AI Security
- Governance
- Model Evaluation
- Responsible AI
- System Monitoring
- Cost Benefit Analysis
- Content Performance Analysis
- Governance Risk Management and Compliance
- Retrieval-Augmented Generation
- Quality Assessment
- Cross-Functional Team Leadership
- Compliance Management
- Generative AI
要了解的详细信息
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
此课程作为 的一部分提供
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该课程共有3个模块
Learners will master systematic cohort-based analysis techniques to detect and diagnose AI performance drift patterns that aggregate metrics often conceal.
涵盖的内容
3个视频1篇阅读材料2个作业
Learners will systematically evaluate architectural trade-offs between fine-tuning and retrieval-augmented generation approaches to make data-driven decisions for domain-specific AI implementations.
涵盖的内容
3个视频2篇阅读材料2个作业
Learners will design comprehensive governance frameworks with enforceable policies and technical guardrails that ensure responsible AI deployment while enabling enterprise innovation.
涵盖的内容
2个视频2篇阅读材料3个作业
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