Trust Engineering for AI: Essential Training
With Cal Al-Dhubaib
Liked by 11 users
Duration: 1h 39m
Skill level: Intermediate
Released: 5/21/2026
Course details
This course is designed for data, product, and risk professionals responsible for planning and delivering AI-powered products and processes. Get a comprehensive introduction to trust engineering—a discipline that bridges data science, product development, UX, and risk to help teams build AI systems with safety, transparency, and accountability from the start. Through incident-based exercises and structured reviews of transparency assets, discover practical ways to communicate failure modes, limitations, and risk levels that different stakeholders can act on. Along the way, practice using assessment tools and oversight patterns that support regulatory expectations while keeping AI initiatives moving. By the end of this course, you’ll be equipped with a shared toolkit that your team can use to plan, implement, manage, and improve AI systems more effectively.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
-
Showcase on your LinkedIn profile under “Licenses and Certificate” section
-
Download or print out as PDF to share with others
-
Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
Contents
What’s included
- Practice while you learn 1 exercise file
- Learn on the go Access on tablet and phone
Similar courses
Download courses
Use your iOS or Android LinkedIn Learning app, and watch courses on your mobile device without an internet connection.