Google Cloud Big Data and ML Fundamentals
Gain proficiency in the development of machine learning models and big data pipelines by utilizing Google Cloud's state-of-the-art tools, such as BigQuery, Dataflow, Vertex AI, and Pub/Sub.
Description for Google Cloud Big Data and ML Fundamentals
Features of the Course:
A Comprehensive Understanding of the Data-to-AI Lifecycle: Discover the fundamental process, obstacles, and advantages of employing big data and machine learning to implement AI solutions.
Big Data Pipeline Design with Google: Cloud Create and execute streaming pipelines that utilize Dataflow and Pub/Sub to facilitate seamless data processing.
Data Analytics on a Large Scale with BigQuery: Utilize Google Cloud's BigQuery to efficiently execute sophisticated analytics on large datasets.
Developing Machine Learning Models with Vertex AI: Examine the tools and methods available for the development of machine learning solutions on the Vertex AI platform of Google Cloud.
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by Google Cloud
Duration: 3 weeks at 3 hours a week
Schedule: Flexible
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