4.7
estrellas
14,231 calificaciones

95 %

Google Cloud Training

234.290 ya inscrito

ofrecido por

Google Cloud

Acerca de este Curso

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This course introduces participants to the big data capabilities of Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions 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 intermedio

Aprox. 12 horas para completar

Inglés (English)

Subtítulos: Inglés (English)

Qué aprenderás

Identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud.

Use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud.

Employ BigQuery to carry out interactive data analysis.

Choose between different data processing products on Google Cloud.

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 intermedio

Aprox. 12 horas para completar

Inglés (English)

Subtítulos: Inglés (English)

Instructor

Calificación del instructor

4,71/5 (2231 calificaciones)

Google Cloud Training

1.528.799 alumnos

357 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%(25,593 calificaciones)

Semana

Semana 1

3 horas para completar

Introduction to the Google Cloud Big Data and Machine Learning Fundamentals Course

Welcome to the Google Cloud Big Data and Machine Learning Fundamentals course. Here you will learn the basics of how the course is structured and the four main big data challenges you will solve for.

3 horas para completar

13 videos (Total 80 minutos), 2 lecturas, 2 cuestionarios

13 videos

Welcome to Google Cloud Big Data and Machine Learning Fundamentals5m

Introduction to Google Cloud3m

Compute Power for Analytic and ML Workloads9m

Demo: Creating a VM on Compute Engine13m

Elastic Storage with Google Cloud Storage6m

Build on Google's Global Network3m

Security: On-premise vs Cloud-native2m

Evolution of Google Cloud Big Data Tools5m

Getting Started with Google Cloud and Qwiklabs4m

Choosing the right approach5m

What you can do with Google Cloud3m

Activity: Explore real customer solution architectures7m

Key roles in a data-driven organization6m

2 lecturas

Google Cloud Public Datasets program10m

Module Resources10m

1 ejercicio de práctica

Module Review10m

2 horas para completar

Recommending Products using Cloud SQL and Spark

In this module you will have an existing Apache SparkML recommendation model that is running on-premise. You will learn about recommendation models and how you can run them in the cloud with Dataproc and Cloud SQL.

2 horas para completar

8 videos (Total 50 minutos), 1 lectura, 2 cuestionarios

8 videos

How businesses use recommendation systems6m

Introduction to machine learning5m

Challenge: ML for recommending housing rentals8m

Approach: Move from on-premise to Google Cloud9m

Demo: From zero to an Apache Spark job in 10 minutes or less6m

Challenge: Utilizing and tuning on-premise clusters6m

Move storage off-cluster with Google Cloud Storage4m

Lab Intro: Recommending Products Using Cloud SQL and Spark2m

1 lectura

Module Resources5m

1 ejercicio de práctica

Module Review14m

3 horas para completar

Predict Visitor Purchases Using BigQuery ML

In this module, you will learn the foundations of BigQuery and big data analysis at scale. You will then learn how to build your own custom machine learning model to predict visitor purchases using just SQL with BigQuery ML.

3 horas para completar

13 videos (Total 73 minutos), 2 lecturas, 2 cuestionarios

13 videos

Introduction to BigQuery5m

Demo: Query 2 billion lines of Github code in less than 30 seconds11m

BigQuery: Fast SQL Engine3m

Demo: Exploring bike share data with SQL11m

Data quality4m

BigQuery managed storage5m

Insights from geographic data2m

Demo: Analyzing lightning strikes with BigQuery GIS7m

Choosing a ML model type for structured data4m

Predicting customer lifetime value5m

BigQuery ML: Create models with SQL3m

Phases in ML model lifecycle2m

BigQuery ML: key features walkthrough5m

2 lecturas

Lab Intro: Predicting Visitor Purchases with a Classification Model with BigQuery ML10m

Module Resources10m

1 ejercicio de práctica

Module Review10m

Semana

Semana 2

2 horas para completar

Real-time IoT Dashboards with Pub/Sub, Dataflow, and Data Studio

In this module you will engineer and build an auto-scaling streaming data pipeline to ingest, process, and visualize data on a dashboard. Before you build your pipeline you'll learn the foundations of message-oriented architecture and pitfalls to avoid when designing and implementing modern data pipelines.

2 horas para completar

8 videos (Total 31 minutos), 1 lectura, 2 cuestionarios

8 videos

Modern data pipeline challenges3m

Message-oriented architectures with Pub/Sub6m

Designing streaming pipelines with Apache Beam3m

Implementing streaming pipelines on Dataflow3m

Visualizing insights with Data Studio3m

Creating charts with Data Studio2m

Demo: Data Studio walkthrough7m

Lab Intro: Creating a Streaming Data Pipeline for a Real-Time Dashboard with Dataflow1m

1 lectura

Module Resources10m

1 ejercicio de práctica

Module Review4m

2 horas para completar

Deriving Insights from Unstructured Data using Machine Learning

Don't want to create a custom ML model from scratch? Learn how to leverage and extend pre-built ML models like the Vision API and Cloud AutoML for image classification.

2 horas para completar

10 videos (Total 55 minutos), 2 lecturas, 2 cuestionarios

10 videos

Where is unstructured ML used in business?4m

How does ML on unstructured data work?3m

Demo: ML built into Google Photos1m

Comparing approaches to ML2m

Demo: Using ML building blocks7m

Using pre-built AI to create a chatbot4m

Customizing Pre-built models with AutoML7m

Lab Intro: Classifying Images of Clouds in the Cloud with AutoML Vision22s

Building a Custom Model1m

Demo: Text classification done three ways21m

2 lecturas

Additional resources to build custom models10m

Module Resources10m

1 ejercicio de práctica

Module Review2m

5 minutos para completar

Summary

In this final module, we will review the key challenges, solutions, and topics covered as part of this fundamentals course. We will also review additional resources and the steps you can take to get certified as a Google Cloud Data Engineer.

5 minutos para completar

1 video (Total 5 minutos)

Reseñas

4.7

2455 reseña

5 stars
71,79 %
4 stars
23,66 %
3 stars
3,45 %
2 stars
0,51 %
1 star
0,57 %

Principales reseñas sobre GOOGLE CLOUD BIG DATA AND MACHINE LEARNING FUNDAMENTALS

por VS2 de mar. de 2019

Overall a good curated course to help understand the GCP offerings and high level architecture of how their offerings fit in the current landscape. Easy to follow along as this was fundamental course.

por UK10 de feb. de 2021

This course is an excellent introductory to Google Cloud Platform for Data Engineers and Machine Learning enthusiasts. The labs are really thorough and give nice hands-on on the various GCP services.

por AS21 de ene. de 2021

Touched down on every aspect required on roadmap to Machine Learning along with big data. This will help to get which flavor suits or you find it interesting and then follow on next course of action.

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.

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.
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