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XAI course

XAI course
4 to 360h flexible workload
certificate valid in your country

What will I learn?

Gain hands-on skills to develop, interpret, and oversee credit risk models effectively. Explore data preparation, feature engineering, and preprocessing techniques. Build reliable, transparent models and apply global and local explainability methods. Assess fairness, detect biases, and implement mitigation strategies. Produce stakeholder-friendly reports, dashboards, and narratives that align with regulations and drive informed decisions.

Elevify advantages

Develop skills

  • Develop explainable credit risk models through training, calibration, and thorough documentation.
  • Utilize SHAP and global XAI techniques to quickly identify key factors and model patterns.
  • Engineer fair and regulatory-compliant AI by identifying biases, assessing effects, and devising remedies.
  • Generate detailed local explanations using SHAP, LIME, and counterfactual scenarios.
  • Produce comprehensive XAI reports for stakeholders, including dashboards, APIs, and verifiable audit trails.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students are saying

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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