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Google Cloud Big Data and Machine Learning Fundamentals

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Google Cloud Big Data and Machine Learning Fundamentals

magic_button Machine Learning Pipeline Machine Learning Machine Learning Models
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5 hours Introductory universal_currency_alt 20 Credits

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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Course Info
Objectives
  • Identify the data-to-AI lifecycle on Google Cloud and the major products of big data and machine learning.
  • Design streaming pipelines with Dataflow and Pub/Sub.
  • 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.
  • Build a machine learning pipeline using AutoML.
Prerequisites
N/A
Audience
Data Analysts, Data Engineers, Data Scientists, and ML Engineers who are getting started with Google Cloud
Available languages
English, español (Latinoamérica), 日本語, 한국어, français, português (Brasil), українська, and italiano
What do I do when I finish this course?
After finishing this course, you can explore additional content in your learning path or browse the catalog.
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Upon finishing the required items in a course, you will earn a badge of completion. Badges can be viewed on your profile and shared with your social network.
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View the public classroom schedule here.
Can I take this course for free?
When you enroll into most courses, you will be able to consume course materials like videos and documents for free. If a course consists of labs, you will need to purchase an individual subscription or credits to be able consume the labs. Labs can also be unlocked by any campaigns you participate in. All required activities in a course must be completed to be awarded the completion badge.
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