Über diesen Kurs

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Zertifikat zur Vorlage
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Kurs 6 von 6 in
Flexible Fristen
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Stufe „Fortgeschritten“
Ca. 16 Stunden zum Abschließen
Englisch
Untertitel: Englisch
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Kurs 6 von 6 in
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Stufe „Fortgeschritten“
Ca. 16 Stunden zum Abschließen
Englisch
Untertitel: Englisch

von

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IBM

Lehrplan - Was Sie in diesem Kurs lernen werden

Woche
1

Woche 1

3 Stunden zum Abschließen

Module 1 - Loading Data

3 Stunden zum Abschließen
4 Videos (Gesamt 8 min)
4 Videos
Choose One Library Only (PyTorch or Keras)41
1.0 Loading data.1m
Keras Stream3m
3 praktische Übungen
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Download Data10m
Loading Data with Keras30m
Woche
2

Woche 2

3 Stunden zum Abschließen

Module 2

3 Stunden zum Abschließen
1 Video (Gesamt 2 min)
2 praktische Übungen
Data loader PyTorch15m
Data Preparation with Keras30m
Woche
3

Woche 3

3 Stunden zum Abschließen

Module 3

3 Stunden zum Abschließen
1 Video (Gesamt 2 min)
2 praktische Übungen
Linear Classifier PyTorch10m
Building a Classifier with Pre-Trained Models30m
Woche
4

Woche 4

7 Stunden zum Abschließen

Module 4

7 Stunden zum Abschließen
1 Video (Gesamt 3 min), 1 Lektüre, 2 Quiz
1 Lektüre
Peer Review Instruction10m

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Über den IBM AI Engineering Zertifikat über berufliche Qualifikation

The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning. You will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers. You will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders. By the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer....
IBM AI Engineering

Häufig gestellte Fragen

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

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  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

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