يجب أن تعمل منتجات الذكاء الاصطناعي بشكل موثوق خارج بيئات التطوير المحكومة. يمكن أن تؤدي التغييرات في البيانات والتحيز الخفي والتبعيات من الطرف الثالث والهجمات المعادية والتحقق الضعيف وممارسات النشر غير الآمنة إلى تقليل أداء النموذج وتعريض المنظمات للمخاطر التشغيلية والأخلاقية والتنظيمية والسمعة.
Building Robust AI Products
قم ببناء منتجات ذكاء اصطناعي آمنة وموثوقة من خلال جودة البيانات والاختبار وفرق العمل الحمراء والامتثال.
All Levels • 15 Lectures • Full Lifetime AccessVerified Master Instructor
Meet your instructor: Dr. Amar Massoud
19 ms
What you will learn
Course Content
7 sections • 15 lectures • 01:43:35 total lengthData Integrity and Bias Mitigation – Part 1
Data Integrity and Bias Mitigation – Part 2
AI Model Supply Chain Management – Part 1
AI Model Supply Chain Management – Part 2
Plan Your Learning Journey
AI generates a personalized schedule based on your availabilityRequirements
فهم أساسي لمفاهيم الذكاء الاصطناعي. يوصى بالتعرف على مبادئ التعلم الآلي الأساسية. لا يلزم خبرة متقدمة في البرمجة أو تطوير النماذج. اهتمام بمنتجات الذكاء الاصطناعي أو الحوكمة أو الأمان أو إدارة المخاطر. لا يلزم خبرة سابقة في فرق العمل الحمراء للذكاء الاصطناعي.
AI product managers responsible for launching trustworthy AI solutions.
Technology leaders overseeing AI product development and deployment.
Data scientists seeking to improve model reliability and fairness.
Machine learning engineers preparing models for production environments.
About this course
Career Opportunities & Job Roles
Build practical, job-ready skills and qualify for high-impact roles worldwide
AI Solutions Engineer
Data Science Consultant
Machine Learning Practitioner
AI Workflow & Automation Specialist
$105,000 – $165,000 / yr
Fastest Growing Worldwide (#1)
Dr. Amar Massoud
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Yes! Upon completing 100% of the course lectures and assignments, you can instantly download your verified digital Certificate of Completion directly from your Lucebra profile.
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