Unlock the power of next-generation AI by mastering evaluation techniques for models that integrate vision, audio, and language capabilities. This course transforms your ability to systematically assess multimodal AI performance and ensure ethical deployment at scale. You'll master cross-modal evaluation metrics like FID, CLIP scores, and recall@k while developing expertise in bias detection and interpretability assessment using LIME and SHAP techniques. By completing this course, you'll confidently evaluate complex AI systems, identify potential ethical risks, and implement governance frameworks that ensure fair and transparent multimodal AI deployment. This unique course combines technical evaluation expertise with ethical AI governance, preparing you for the enterprise reality where performance and responsibility must coexist seamlessly.
Erwerben Sie mit Coursera Plus für 199 $ (regulär 399 $) das nächste Level. Jetzt sparen.
Empfohlene Erfahrung
Was Sie lernen werden
Cross-modal evaluation requires specialized metrics that assess semantic alignment and joint reasoning capabilities across different data modalities
Ethical AI assessment is a systematic process involving quantitative bias measurement and interpretability analysis using standardized frameworks
Enterprise AI deployment success depends on balancing performance optimization with ethical governance and continuous monitoring
Model interpretability through LIME and SHAP analysis provides transparency essential for responsible AI system deployment
Kompetenzen, die Sie erwerben
- Kategorie: Artificial Intelligence and Machine Learning (AI/ML)
- Kategorie: AI Enablement
- Kategorie: Model Deployment
- Kategorie: Data Ethics
- Kategorie: Generative AI
- Kategorie: Responsible AI
- Kategorie: Model Evaluation
- Kategorie: Governance
- Kategorie: Multimodal Prompts
Wichtige Details
Zu Ihrem LinkedIn-Profil hinzufügen
3 Aufgaben
Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.
In diesem Kurs gibt es 2 Module
Learners will master cross-modal evaluation metrics to systematically assess multimodal AI model performance in enterprise environments.
Das ist alles enthalten
4 Lektüren1 Aufgabe1 Unbewertetes Labor
Learners will master systematic approaches to assess model bias and apply ethical AI guidelines for responsible multimodal AI deployment.
Das ist alles enthalten
3 Lektüren2 Aufgaben
Dozent
von
Warum entscheiden sich Menschen für Coursera für ihre Karriere?
Häufig gestellte Fragen
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
Weitere Fragen
Finanzielle Unterstützung verfügbar,