Microsoft Excel Data Analysis - Learn How The Experts Use It
Vincent Gomez
5.0 (5,696)·2h 57m · 40 lectures
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Building Robust AI Products
Designing Secure, Ethical, and Reliable AI Systems for the Real World
5.07 reviews9 learners
- All Levels
- 31m video
- 12 lectures
- English
- Updated 2025
Taught by Laura Ojeda
- 31m of on-demand video
- 12 lectures across 10 sections
- English audio
Curriculum
10 sections12 lectures31m total
- Welcome to the course0:57
- Introduction3:55
- Foundations of Robust AI3:11
- Ensuring Data Integrity2:50
- Managing Model Supply Risk3:39
- Testing for Real-World Fit2:43
- Practice Test 10:00
- Let's take a break1:01
- Fairness in AI Systems3:25
About this course
Welcome to the course “Building Robust AI Products” — your gateway to mastering the art of designing AI systems that are resilient, fair, scalable, secure, transparent, and built to last. In this comprehensive program, you’ll explore how to build AI that performs not just in ideal lab conditions, but in the unpredictable real world, across industries, environments, and use cases. From understanding the foundations of robustness and ensuring data integrity, to managing model risk, detecting anomalies, stress-testin…
Before you start
- Basic understanding of machine learning concepts is recommended
- Beginners can still benefit from the course through its applied lessons
Who it’s for
- AI professionals, ML engineers, and product managers building responsible AI solutions
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