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Explainable AI (XAI) for Ethical AI Development

 14 Hours
This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to apply Explainable AI techniques to ensure fairness, transparency, and ethical AI systems for government. By the end of this training, participants will be able to: - Understand the role of XAI in ethical AI systems. - Implement XAI techniques to detect and mitigate bias in AI models. - Ensure transparency in AI model decision-making processes. - Align AI development with ethical and regulatory standards for government.
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Explainability in Deep Learning: Demystifying Black-Box Models

 21 Hours
This instructor-led, live training (online or onsite) is designed for government professionals at an advanced level who wish to explore state-of-the-art XAI techniques for deep learning models, with a focus on building interpretable AI systems for government. By the end of this training, participants will be able to: - Understand the challenges of explainability in deep learning. - Implement advanced XAI techniques for neural networks. - Interpret decisions made by deep learning models. - Evaluate the trade-offs between performance and transparency.
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Advanced Techniques in Explainable AI (XAI)

 21 Hours
This instructor-led, live training (available online or onsite) is designed for government professionals at an advanced level who seek to deepen their understanding of Explainable Artificial Intelligence (XAI) techniques for complex AI models. By the end of this training, participants will be able to: - Implement state-of-the-art XAI techniques in AI models. - Interpret deep learning models and their decisions. - Apply advanced model-agnostic and model-specific explainability methods. - Address challenges related to AI transparency in complex systems, ensuring alignment with public sector workflows, governance, and accountability for government.
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Explainable AI (XAI) for Transparency in AI Models

 21 Hours
This instructor-led, live training (online or onsite) is designed for intermediate to advanced-level professionals who aim to implement transparent artificial intelligence systems in real-world applications for government. By the end of this training, participants will be able to: - Understand the significance of transparency in AI models. - Implement advanced Explainable AI (XAI) techniques to interpret complex models. - Enhance model transparency using tools such as SHAP, LIME, and others. - Address ethical concerns and ensure fairness in AI models for government.
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Introduction to Explainable AI (XAI) for Beginners

 14 Hours
This instructor-led, live training (available online or onsite) is designed for beginner-level professionals who wish to learn the basics of Explainable Artificial Intelligence (XAI) and its role in developing responsible AI systems for government. By the end of this training, participants will be able to: - Comprehend the fundamental concepts of XAI. - Understand the significance of transparency and interpretability in AI models. - Acquire basic techniques for making AI models explainable. - Apply XAI techniques to simple machine learning models.
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Upcoming Courses

Explainable AI (XAI) for Transparency in AI Models

2026-02-16 09:30
21 hours
Online
$ 4054 (Online)

Advanced Techniques in Explainable AI (XAI)

2026-03-02 09:30
21 hours
Online
$ 4054 (Online)

Explainability in Deep Learning: Demystifying Black-Box Models

2026-03-16 09:30
21 hours
Online
$ 4054 (Online)

Explainability in Deep Learning: Demystifying Black-Box Models

2026-03-30 09:30
21 hours
Online
$ 4054 (Online)

Explainable AI (XAI) for Transparency in AI Models

2026-04-13 09:30
21 hours
Online
$ 4054 (Online)

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