Serverless Machine Learning with Tensorflow on Google Cloud em Português Brasileiro

• ¿Puedo acceder a una vista preliminar del curso antes de inscribirme?

  Sí, puedes acceder a una vista preliminar del primer video y ver el programa antes de inscribirte. Debes comprar el curso para acceder a contenido que no está incluido en la vista preliminar

• ¿Qué recibiré cuando me inscriba?

  Una vez que te inscribes y comienza la sesión, tendrás acceso a todos los videos y otros recursos, incluidos artículos de lectura y el foro de debate del curso. Podrás ver y enviar tareas de práctica y completar tareas con calificación obligatorias para obtener un título y un Certificado de curso

• ¿Cuándo recibiré mi Certificado de curso?

  Si completas el curso de manera correcta, tu Certificado de curso electrónico se agregará a la página Logros. Desde allí, puedes imprimir tu Certificado de curso o agregarlo a tu perfil de LinkedIn

• ¿Por qué no puedo participar como oyente en este curso?

  Este curso es uno de los pocos que se ofrecen en Coursera que está actualmente disponible solo para estudiantes que pagaron o que recibieron ayuda económica, si está disponible.

• ¿Hay ayuda económica disponible?

  Sí. En ciertos programas de aprendizaje, puedes postularte para recibir ayuda económica o una beca en caso de no poder costear los gastos de la tarifa de inscripción. Si hay ayuda económica o becas disponibles para tu selección de programa de aprendizaje, verás un enlace para postularte en la página de descripción.

• Are there prerequisites for this course?

  Before enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following:

  • Knowledge of Google Cloud Platform

  • Big Data & Machine Learning Fundamentals to the level of "Google Cloud Platform Big Data and Machine Learning Fundamentals" on Coursera

  • Knowledge of BigQuery and Dataflow to the level of "Serverless Data Analysis with Google BigQuery and Cloud Dataflow" on Coursera

  • Knowledge of Python and familiarity with the numpy package

  • Knowledge of undergraduate-level statistics to the level of a Basic Statistics course on Coursera

• Am I eligible for the Google Cloud Platform free trial?

  To be eligible for the free trial, you will need:

  - Google account (Google is currently blocked in China)

  - Credit card or bank account

  - Terms of service

  Note: There is a known issue with certain EU countries where individuals are not able to sign up, but you may sign up as "business" status and intend to see a potential economic benefit from the trial. More details at: https://support.google.com/cloud/answer/6090602

  More Google Cloud Platform free trial FAQs are available at: https://cloud.google.com/free-trial/

  For more details on how the free trial works, visit our documentation page: https://cloud.google.com/free-trial/docs/

• What if I have already used up my Google Cloud Platform free trial?

  If your current Google account is no longer eligible for the Google Cloud Platform free trial, you can create another Google account. Your new Google account should be used to sign up for the free trial.

• How does the free trial work?

  View this page for more details: https://cloud.google.com/free-trial/docs/

• Is this course similar to CPB102?

  Yes, this online course is based on the instructor-led training formerly known as CPB102.

• Does this course relate to the Google Certified Professional Data Engineer certification?

  The course covers the topics presented on the certification exam, however we recommend additional preparation including hands-on product experience. The best preparation for certification is real-world, hands-on experience. Review the Google Certified Professional Data Engineer certification preparation guide for further information and resources at https://cloud.google.com/certification/guides/data-engineer/

• What is a Google certification?

  Google’s Certification Program gives customers and partners a way to demonstrate their technical skills in a particular job-role and technology. Individuals are assessed using a variety of rigorously developed industry-standard methods to determine whether they meet Google’s proficiency standards. Read more at https://cloud.google.com/certification/

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