Introduction to Explainable AI (XAI)

Name: Introduction to Explainable AI (XAI)
Availability: InStock
Rating: 2.8 (25 reviews)

Master Explainable AI: Understand, Interpret, and Apply AI Decisions Transparently in Real-World Systems.

Certificate

Published by

Saved For Later

Confident you have the skills to certify without completing the course content?

Learning Outcomes

In this free course, you will learn how to:

Explain why explainability is essential for trust, fairness, and accountability in AI
Describe the black-box problem and its ethical and practical implications
Distinguish between intrinsic interpretability and post-hoc explanation methods
Identify common XAI techniques such as LIME, SHAP, and counterfactual explanations
Compare global and local explanations and their uses for different stakeholders
Apply explainability concepts to real-world cases in healthcare, finance, and public services
Evaluate AI explanations using clarity, faithfulness, and usefulness criteria
Create human-centred explanations tailored to different audiences

Published by

Positive learner ratings

Learners Courses

Earn credentials that matter: Anyone can say they’re learning. A CPD-accredited Alison Certificate proves you followed through.
Get an edge over others: Add your Certificate to your CV, LinkedIn, and Alison Profile to strengthen job applications and promotion opportunities.
Show you’re serious about growth: A Certificate signals initiative, commitment, and a willingness to keep learning; qualities employers actively look for.