Explainable AI (XAI)
Master explainable AI techniques for transparent and ethical machine learning. Learn to implement interpretable models and advanced explainability methods.
Master explainable AI techniques for transparent and ethical machine learning. Learn to implement interpretable models and advanced explainability methods.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Explainable AI (XAI) Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Implement XAI approaches for transparent and ethical AI systems
Build interpretable models using Python including decision trees and neural networks
Apply advanced techniques like LIME and SHAP for model explanations
Create explainable solutions for LLMs and computer vision models
Evaluate AI systems for robustness, privacy, and ethical considerations
Skills you'll gain
This course includes:
40 Hours PreRecorded video
Python-based lab activities with Jupyter notebooks, Case studies, Programming assignments
Access on Mobile, Desktop, Tablet
FullTime access
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Get a Completion Certificate
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There are 3 courses in this program
Building Your Brand, Sustaining Growth and Networking
Course 1 · 7 Hours to complete · 4 modules
Compute Resources in Azure
Course 2 · 6 Hours to complete · 2 modules
Azure: Compute, Storage, and Database Security
Course 3 · 8 Hours to complete · 3 modules
Fee Structure
Payment options
Financial Aid
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