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 32m, is taught in English, and includes a certificate of completion. It is a paid course, first published April 2023.
Unlock the power of AI with Google Cloud's big data and machine learning tools! This course provides a comprehensive introduction to the data-to-AI lifecycle on Google Cloud, equipping you with the knowledge to build intelligent applications.
You'll delve into the essential processes involved in creating robust big data pipelines, exploring best practices and overcoming common challenges. Learn how to effectively manage, process, and analyze large datasets using Google Cloud's powerful infrastructure.
A key focus is Vertex AI, Google Cloud's unified machine learning platform. We'll guide you through building, training, and deploying sophisticated machine learning models with Vertex AI. Discover how to leverage its capabilities for various AI applications.
Key topics covered include:
- Big Data Pipelines: Design, implementation, and optimization for efficient data processing.
- Machine Learning Model Development: From data preparation to model deployment using Vertex AI.
- Vertex AI Services: A deep dive into the core components of Google Cloud's ML platform.
- Data Analytics on Google Cloud: Utilizing Google Cloud's tools for data exploration and insights.
- AI Lifecycle Management: Understanding the complete process of building, deploying, and monitoring AI solutions.
- Cloud Data Warehousing: Leveraging Google BigQuery for scalable data storage and analysis.
This course will illuminate the benefits of leveraging Google Cloud for your AI initiatives, empowering you to build innovative and impactful solutions.
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