4.7
estrellas
14,831 calificaciones

95 %

Google Cloud Training

259.017 ya inscrito

ofrecido por

Google Cloud

Acerca de este Curso

302.039 vistas recientes

This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Certificado para compartir

Obtén un certificado al finalizar

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Nivel principiante

Aprox. 10 horas para completar

Inglés (English)

Subtítulos: Inglés (English)

Qué aprenderás

Recognize the data-to-AI lifecycle on Google Cloud and the major big data and machine learning products.
Analyze big data at scale with BigQuery.
Identify different options to build machine learning solutions on Google Cloud.
Describe a machine learning workflow and the key steps with Vertex AI.

Habilidades que obtendrás

Tensorflow
Bigquery
Google Cloud Platform
Cloud Computing

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Certificado para compartir

Obtén un certificado al finalizar

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Nivel principiante

Aprox. 10 horas para completar

Inglés (English)

Subtítulos: Inglés (English)

Instructor

Calificación del instructor

4,71/5 (2437 calificaciones)

Google Cloud Training

1.748.327 alumnos

949 cursos

ofrecido por

Google Cloud

We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success.

Programa - Qué aprenderás en este curso

Calificación del contenido95%(26,439 calificaciones)

Semana

Semana 1

14 minutos para completar

Course Introduction

This section welcomes learners to the Big Data and Machine Learning Fundamentals course, and provides an overview of the course structure and goals.

14 minutos para completar

1 video (Total 4 minutos), 1 lectura

2 horas para completar

Big Data and Machine Learning on Google Cloud

This section explores the key components of Google Cloud's infrastructure. It's here that we introduce many of the big data and machine learning products and services that support the data-to AI lifecycle on Google Cloud.

2 horas para completar

9 videos (Total 29 minutos), 1 lectura, 2 cuestionarios

2 horas para completar

Data Engineering for Streaming Data

This section introduces Google Cloud's solution to managing streaming data. It examines an end-to-end pipeline, including data ingestion with Pub/Sub, data processing with Dataflow, and data visualization with Looker and Data Studio.

2 horas para completar

9 videos (Total 22 minutos), 1 lectura, 2 cuestionarios

2 horas para completar

Big Data with BigQuery

This section introduces learners to BigQuery, Google's fully-managed, serverless data warehouse. It also explores BigQuery ML, and the processes and key commands that are used to build custom machine learning models.

2 horas para completar

9 videos (Total 38 minutos), 1 lectura, 2 cuestionarios

Semana

Semana 2

1 hora para completar

Machine Learning Options on Google Cloud

This section explores four different options to build machine learning models on Google Cloud. It also introduces Vertex AI, Google's unified platform for building and managing the lifecycle of ML projects.

1 hora para completar

8 videos (Total 24 minutos), 1 lectura, 1 cuestionario

2 horas para completar

The Machine Learning Workflow with Vertex AI

This section focuses on the three key phases--data preparation, model training, and model preparation--of the machine learning workflow in Vertex AI. Learners get the opportunity to practice building a machine learning model with AutoML.

2 horas para completar

8 videos (Total 26 minutos), 1 lectura, 2 cuestionarios

4 minutos para completar

Course Summary

This section reviews the topics covered in the course, and provides additional resources for further learning.

4 minutos para completar

1 video (Total 4 minutos)

Reseñas

4.7

2546 reseña

5 stars
71,72 %
4 stars
23,60 %
3 stars
3,56 %
2 stars
0,53 %
1 star
0,58 %

Principales reseñas sobre GOOGLE CLOUD BIG DATA AND MACHINE LEARNING FUNDAMENTALS

por BV23 de dic. de 2019

It was very good training with some of the real-time use cases enjoyed a lot. As a new person to google cloud and big data, I think this the best basic fundamental which I have come across so far.

por MM13 de nov. de 2019

In general - great course with a good introduction to GCP tools and platform. Some of the materials might need to get updated though as it seems they are a bit behind the new version of the platform.

por BK18 de abr. de 2020

Excellent overview of big data and machine learning using GCP, but would have been better if there had been notes similar to the "Google Cloud Platform Fundamentals - Core Infrastructure" course.

por PC23 de jun. de 2017

Course is very engaging and attentive. As we have hands-on lab, we get some practical experience with guidance. I have learnt a lot from this course. Cant wait to attend Data Engineering Course.

Ver todas las reseñas

Preguntas Frecuentes

¿Cuándo podré acceder a las lecciones y tareas?
El acceso a las clases y las asignaciones depende del tipo de inscripción que tengas. Si tomas un curso en modo de oyente, verás la mayoría de los materiales del curso en forma gratuita. Para acceder a asignaciones calificadas y obtener un certificado, deberás comprar la experiencia de Certificado, ya sea durante o después de participar como oyente. Si no ves la opción de oyente:
es posible que el curso no ofrezca la opción de participar como oyente. En cambio, puedes intentar con una Prueba gratis o postularte para recibir ayuda económica.
Es posible que el curso ofrezca la opción 'Curso completo, sin certificado'. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. También significa que no podrás comprar una experiencia de Certificado.
¿Qué recibiré si me suscribo a este Certificado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos del Certificado y te darán un certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
¿Cuál es la política de reembolsos?
Si estás suscrito, obtienes una prueba gratis de 7 días, que podrás cancelar cuando desees sin ningún tipo de penalidad. Una vez transcurrido ese tiempo, no realizamos reembolsos. No obstante, puedes cancelar tu suscripción cuando quieras. Consulta nuestra política completa de reembolsos.
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:
• A common query language such as SQL
• Extract, transform, load activities
• Data modeling
• Machine learning and/or statistics
• Programming in Python
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 CPB100?
Yes, this online course is based on the instructor-led training formerly known as CPB100.
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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Google Cloud Big Data and Machine Learning Fundamentals