Informações sobre o curso

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Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
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Curso 6 de 6 no
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível avançado
Aprox. 16 horas para completar
Inglês
Legendas: Inglês
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 6 de 6 no
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Nível avançado
Aprox. 16 horas para completar
Inglês
Legendas: Inglês

oferecido por

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IBM

Programa - O que você aprenderá com este curso

Semana
1

Semana 1

3 horas para concluir

Module 1 - Loading Data

3 horas para concluir
4 vídeos (Total 8 mín.)
4 videos
Choose One Library Only (PyTorch or Keras)41s
1.0 Loading data.1min
Keras Stream3min
3 exercícios práticos
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Download Data10min
Loading Data with Keras30min
Semana
2

Semana 2

3 horas para concluir

Module 2

3 horas para concluir
1 vídeo (Total 2 mín.)
2 exercícios práticos
Data loader PyTorch15min
Data Preparation with Keras30min
Semana
3

Semana 3

3 horas para concluir

Module 3

3 horas para concluir
1 vídeo (Total 2 mín.)
2 exercícios práticos
Linear Classifier PyTorch10min
Building a Classifier with Pre-Trained Models30min
Semana
4

Semana 4

7 horas para concluir

Module 4

7 horas para concluir
1 vídeo (Total 3 mín.), 1 leitura, 2 testes
1 leituras
Peer Review Instruction10min

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Sobre Certificado Profissional IBM AI Engineering

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

Perguntas Frequentes – FAQ

  • 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:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • 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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