Über diesen Kurs

45,760 kürzliche Aufrufe
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Kurs 5 von 6 in
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Stufe „Mittel“
Ca. 12 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 5 von 6 in
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Stufe „Mittel“
Ca. 12 Stunden zum Abschließen
Englisch
Untertitel: Englisch

von

IBM-Logo

IBM

Lehrplan - Was Sie in diesem Kurs lernen werden

Woche
1

Woche 1

4 Stunden zum Abschließen

Introduction

4 Stunden zum Abschließen
4 Videos (Gesamt 24 min), 1 Lektüre, 4 Quiz
4 Videos
Introduction to TensorFlow7m
Introduction to Deep Learning2m
Deep Neural Networks11m
1 Lektüre
Syllabus10m
1 praktische Übung
Deep Neural Networks and TensorFlow30m
Woche
2

Woche 2

2 Stunden zum Abschließen

Supervised Learning Models

2 Stunden zum Abschließen
3 Videos (Gesamt 22 min)
3 Videos
Convolutional Neural Networks (CNNs) for Classification4m
Convolutional Neural Networks (CNNs) Architecture13m
1 praktische Übung
Convolutional Neural Networks30m
Woche
3

Woche 3

3 Stunden zum Abschließen

Supervised Learning Models (Cont'd)

3 Stunden zum Abschließen
4 Videos (Gesamt 22 min)
4 Videos
Recurrent Neural Networks (RNNs)5m
The Long Short Term Memory (LSTM) Model5m
Language Modelling7m
1 praktische Übung
Recurrent Neural Networks30m
Woche
4

Woche 4

2 Stunden zum Abschließen

Unsupervised Deep Learning Models

2 Stunden zum Abschließen
2 Videos (Gesamt 10 min)
2 Videos
Restricted Boltzmann Machines (RBMs)5m
1 praktische Übung
Restricted Boltzmann Machines30m

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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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  • When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • 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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