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Explainable AI (XAI) Program Course

Original price was: INR ₹10,998.00.Current price is: INR ₹5,499.00.

Course Overview

This self-paced program delves into the latest techniques and methodologies for interpreting complex AI models. Participants will learn how to apply these techniques to make AI systems more transparent, enhancing both trust and accountability in various AI applications.

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Explainable AI (XAI) Program
Making AI Transparent, Trustworthy, and Accountable
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Course Overview

This self-paced program delves into the latest techniques and methodologies for interpreting complex AI models. Participants will learn how to apply these techniques to make AI systems more transparent, enhancing both trust and accountability in various AI applications.

Course Goals

The aim of this program is to equip PhD scholars and academicians with advanced skills to make AI models transparent and understandable. This ensures that AI applications are interpretable and trustworthy, particularly in critical fields like healthcare and finance.

Program Objectives

  • Understand the importance of explainable AI (XAI) in today’s world.
  • Learn various techniques to make AI models interpretable.
  • Apply XAI methods to real-world scenarios.
  • Analyze the impact of XAI across different industries.
  • Ensure AI compliance with ethical and regulatory standards.

Program Structure

Introduction to Explainable AI

  • Understanding the importance and role of XAI in various industries.

Methods for Model Interpretability

  • Techniques for feature importance and attribution.
  • Model-agnostic techniques.
  • Example-based explanations.

XAI in Practice: Tools and Frameworks

  • Practical tools and frameworks for implementing XAI.

Case Studies

  • XAI in Healthcare: Real-world applications and outcomes.
  • XAI in Finance: Enhancing transparency and accountability.

Ethical and Regulatory Considerations

  • Navigating the ethical and legal landscape of AI.

Future Trends in Explainable AI

  • Exploring the future directions and innovations in XAI.

Eligibility

  • This course is ideal for AI researchers, data scientists, machine learning engineers, healthcare analysts, finance professionals, and academic researchers interested in making AI more transparent and trustworthy.

Learning Outcomes

  • Develop AI models that are interpretable and easy to understand.
  • Implement XAI techniques in various real-world applications.
  • Enhance the transparency and trustworthiness of AI systems.
  • Navigate the ethical and regulatory requirements related to AI.
  • Lead initiatives in explainable AI research and its practical application.

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Certification

  • Upon successful completion of the workshop, participants will be awarded a Certificate of Completion, validating their skills and knowledge in advanced AI ethics and regulatory frameworks. This certification can be added to your LinkedIn profile or shared with employers to demonstrate your commitment to ethical AI practices.

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Hall of Fame.

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