Google Cloud Big Data and Machine Learning Fundamentals Training Logo

Google Cloud Big Data and Machine Learning Fundamentals Training

Live Online & Classroom Enterprise Training

Learn the core concepts of big data processing and machine learning using Google Cloud tools and services. This course introduces data analytics pipelines, storage solutions, and ML model deployment using Google Cloud technologies.

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What is Google Cloud Big Data and Machine Learning Fundamentals Course about?

Google Cloud Big Data and Machine Learning Fundamentals provides a practical introduction to handling large-scale data and applying machine learning using Google Cloud Platform (GCP). The course covers essential services such as data storage, data processing, streaming analytics, and machine learning APIs. Learners gain hands-on exposure to building data workflows, analyzing datasets, and deploying ML models in a cloud environment.

What are the objectives of Google Cloud Big Data and Machine Learning Fundamentals Course ?

  • Understand Big Data and Machine Learning fundamentals in cloud environments
  • Learn core Google Cloud data and analytics services
  • Build data processing pipelines using managed cloud tools
  • Explore machine learning models and AI services on Google Cloud
  • Implement real-world data analytics and ML use cases

Who is Google Cloud Big Data and Machine Learning Fundamentals Course for?

  • Data Analysts and Data Engineers
  • Machine Learning Beginners
  • Cloud Solution Architects
  • Software Developers moving to Cloud Data roles
  • IT Professionals interested in Data and AI

What are the prerequisites for Google Cloud Big Data and Machine Learning Fundamentals Course?

Prerequisites:

  • Basic understanding of cloud computing concepts
  • Fundamental knowledge of databases and SQL
  • Basic programming knowledge (Python preferred)
  • Understanding of data analytics concepts
  • Familiarity with statistics basics


Learning Path:

  • Introduction to Google Cloud Platform
  • Big Data Storage and Processing Services
  • Data Pipeline and Stream Processing
  • Machine Learning Fundamentals on Google Cloud
  • Building and Deploying ML Models on Cloud


Related Courses:

  • Google Cloud Data Engineering Fundamentals
  • Google Cloud Machine Learning Engineer Training
  • Data Analytics using BigQuery
  • Cloud AI and ML Solutions on Google Cloud

Available Training Modes

Live Online Training

1 Days

Course Outline Expand All

Expand All

  • Introduction to the course objectives and structure
  • Getting started with Google Cloud Platform and Qwiklabs
  • Overview of Google Cloud Platform (GCP)
  • Compute options for analytics and machine learning workloads
  • Creating a Virtual Machine on Compute Engine
  • Elastic storage with Google Cloud Storage
  • Building on Google's global network
  • Security: On-premise vs. Cloud-native
  • Understanding the data-to-AI lifecycle
  • Introduction to Big Data and Machine Learning services on GCP
  • Exploring data processing capabilities
  • Machine Learning with Vertex AI
  • Building data pipelines
  • Challenges and benefits of big data and ML on GCP

Who is the instructor for this training?

The trainer for this Google Cloud Big Data and Machine Learning Fundamentals Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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