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If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

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Responsible AI for Developers: Fairness & Bias - Deutsch

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Responsible AI for Developers: Fairness & Bias - Deutsch

Instructor: Google Cloud Training

Included with

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5 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

4 hours to complete

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

4 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Verantwortungsbewusste Anwendung von KI definieren
KI-Grundsätze von Google ermitteln
Bedeutung von Fairness und Verzerrung erläutern
Erkennen und Reduzieren von Verzerrungen anhand bestimmter Daten und Modellierung erläutern

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

2 assignments

Taught in German

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There are 5 modules in this course

In diesem Kurs werden Konzepte für die verantwortungsbewusste Anwendung von KI und KI-Grundsätze vorgestellt. Es werden Techniken behandelt, wie Sie Fairness und Verzerrung (Bias) in der Praxis erkennen sowie Verzerrung in KI- und ML-Anwendungen reduzieren können. Dabei lernen Sie, wie Sie mit Google Cloud-Produkten und Open-Source-Tools Best Practices für eine verantwortungsbewusste Anwendung von KI umsetzen.

Dieses Modul gibt einen Überblick über den Aufbau und die Ziele des Kurses.

What's included

1 video

Dieses Modul bietet einen Überblick über die verantwortungsbewusste Anwendung von KI. Dazu werden die KI-Grundsätze von Google erläutert und anschließend Unterthemen zur verantwortungsbewussten Anwendung von KI besprochen. Außerdem werden konkrete Fallstudien zur verantwortungsbewussten Anwendung von KI bei Google-Produkten vorgestellt.

What's included

4 videos1 assignment

In diesem Modul wird erläutert, was die Begriffe Fairness und Verzerrung im KI-Kontext bedeuten. Es werden verschiedene Techniken und Tools vorgestellt, mit denen Sie Verzerrungen in Daten und Modellen erkennen und reduzieren können.

What's included

9 videos1 assignment1 app item

9 videos Total 42 minutes

Überblick über Fairness und Verzerrung 8 minutes
Verzerrung erkennen – TFDV-Tool 5 minutes
Verzerrung erkennen – What-If-Tool 4 minutes
Verzerrung erkennen – TFMA-Tool 2 minutes
Verzerrung reduzieren – Datenintervention 7 minutes
Verzerrung reduzieren – Schwellenwert-Kalibrierung 5 minutes
Verzerrungen reduzieren – Model Remediation 5 minutes
Lab: Verzerrungen mit MinDiff in TensorFlow vermeiden 1 minute
Coursera: Erste Schritte mit Google Cloud Platform und Qwiklabs 5 minutes

1 assignment Total 6 minutes

Wissens-Quiz 6 minutes

1 app item Total 90 minutes

Lab: Verzerrungen mit MinDiff in TensorFlow vermeiden 90 minutes

Dieses Modul beinhaltet eine Zusammenfassung des gesamten Kurses und bietet noch einmal einen Überblick über die wichtigsten Konzepte, Tools und Technologien.

What's included

1 video1 reading

PDF-Links für Kursteilnehmende zu allen Modulen

What's included

4 readings

Instructor

Google Cloud Training

Google Cloud

2,064 Courses 3,939,703 learners

Offered by

Google Cloud

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Frequently asked questions

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.