{"id":1470,"date":"2025-10-28T16:32:15","date_gmt":"2025-10-28T15:32:15","guid":{"rendered":"https:\/\/deep-xai.com\/?page_id=1470"},"modified":"2026-05-13T11:13:10","modified_gmt":"2026-05-13T09:13:10","slug":"curso-xai-aplicada-al-dl","status":"publish","type":"page","link":"https:\/\/deep-xai.com\/en\/curso-xai-aplicada-al-dl\/","title":{"rendered":"Applied XAI for Deep Learning Course"},"content":{"rendered":"
\n
Introductory Discount
40% off the listed price
Valid until January 1, 2027<\/a><\/div>\n<\/div>\n\n\n\n
\n
\n
\n

The Applied XAI for Deep Learning course is designed to teach you how to explain and bring transparency to deep learning models.<\/p>\n\n\n\n

Understanding how and why a model makes its decisions allows you to detect and correct biases, while ensuring an AI that is more ethical and responsible for everyone.<\/p>\n\n\n\n

The main objective<\/strong> of this course is to learn about:<\/p>\n\n\n\n

    \n
  • Core concepts of Explainable AI (XAI)<\/li>\n\n\n\n
  • Agnostic explainability<\/li>\n\n\n\n
  • Deep Learning-specific explainability<\/li>\n\n\n\n
  • Evaluating explainability algorithms <\/li>\n\n\n\n
  • Building 100% interpretable recurrent architectures<\/li>\n\n\n\n
  • Applying XAI to real-world problems<\/li>\n<\/ul>\n<\/div>\n\n\n\n
    \n
    \n