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.
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.
- 5 stars71.73%
- 4 stars23.59%
- 3 stars3.55%
- 2 stars0.53%
- 1 star0.57%
來自GOOGLE CLOUD BIG DATA AND MACHINE LEARNING FUNDAMENTALS的熱門評論
We have learn't quite a lot of things which is necessary to be a data engineer and how to use GCP as your primary platform to over come the key challenges faced during data engineering life cycle
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.
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.
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.
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?