Google Cloud Big Data and Machine Learning Fundamentals
Learn Google Cloud's big data & machine learning tools. Master the data-to-AI lifecycle with practical skills. Build powerful AI solutions.
Course Content
Google Cloud Big Data and Machine Learning Fundamentals is a beginner-level Pluralsight course taught by Google Cloud. It runs 2h 31m, is taught in English, and includes a certificate of completion. It is a paid course, first published September 2022.
Unlock the power of AI with Google Cloud's comprehensive big data and machine learning solutions! This course provides a deep dive into the data-to-AI lifecycle, guiding you through every stage of building intelligent applications.
You'll discover the key Google Cloud big data products and services essential for handling massive datasets. Learn how to design and implement robust big data pipelines for efficient data ingestion, processing, and storage.
We'll explore the process of developing and deploying sophisticated machine learning models using Vertex AI on Google Cloud. Understand the challenges involved in building effective AI solutions and the significant benefits they bring to businesses.
Specifically, this course covers:
- Big Data Pipelines: Learn best practices for building scalable and reliable data pipelines using Google Cloud's tools.
- Machine Learning with Vertex AI: Master the use of Vertex AI for model training, deployment, and management.
- Data-to-AI Lifecycle: Gain a holistic understanding of the entire AI development process, from data preparation to model monitoring.
- Google Cloud Big Data Services: Explore a range of services like BigQuery, Dataflow, and Dataproc for data processing and analytics.
- AI Model Deployment: Learn how to seamlessly deploy your trained models for real-time predictions and insights.
- Benefits of Cloud AI: Discover how leveraging Google Cloud's AI capabilities can drive innovation and improve business outcomes.
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