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.
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Acerca de este Curso
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
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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
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.
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.
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.
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.
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.
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.
Course Summary
This section reviews the topics covered in the course, and provides additional resources for further learning.
Reseñas
- 5 stars71,70 %
- 4 stars23,68 %
- 3 stars3,50 %
- 2 stars0,52 %
- 1 star0,57 %
Principales reseñas sobre GOOGLE CLOUD BIG DATA AND MACHINE LEARNING FUNDAMENTALS
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.
This was a great course to understand at a high level how to design and create my data ecosystem and how to do it sustainably. Hopefully, next courses provide more in-depth the technical features.
Thank you so much for gave this chance. I'm so happy with learning here. And it's more important learning this for me. Very clearly and cool course. Lerned more things. Thank you very much again.
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.
Preguntas Frecuentes
¿Cuándo podré acceder a las lecciones y tareas?
¿Qué recibiré si me suscribo a este Certificado?
Are there prerequisites for this course?
Am I eligible for the Google Cloud Platform free trial?
What if I have already used up my Google Cloud Platform free trial?
How does the free trial work?
Is this course similar to CPB100?
Does this course relate to the Google Certified Professional Data Engineer certification?
What is a Google certification?
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