Ai & Machine Learning

Google Cloud Big Data and ML Fundamentals

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Coursera

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.

Key AI Functions:tensorflow, bigquery, google cloud platform, cloud computing, ai & machine learning

Description for Google Cloud Big Data and ML Fundamentals

  • 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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