Big Data and Machine Learning with Google Cloud Platform

Cloud Computing

COURSE OVERVIEW


Harness data power with Google Cloud Big Data and Machine Learning Fundamentals Certification. Process datasets, build ML models, implement analytics, and leverage Google tools to extract insights, automate decisions, and drive innovation through cloud-based artificial intelligence.


Duration: 1 Day

Venue: Classroom based/Virtual Instructor-Led Training

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Description

COURSE OUTLINE:


Module 1: Introduction to Google Cloud Platform

  • Google Platform Fundamentals Overview
  • Google Cloud Platform Big Data Products


Module 2: Compute and Storage Fundamentals

  • CPUs on Demand (Compute Engine)
  • Global Filesystem (Cloud Storage)
  • CloudShell
  • Lab: Set Up an Ingest Transform Publish Data Processing Pipeline


Module 3: Data Governance and Security

  • Importance of Data Governance
  • Data Security Best Practices
  • Compliance and Regulatory Considerations
  • Data Encryption and Access Controls
  • Monitoring and Auditing Data Access
  • Lab: Implementing Data Governance and Security


Module 4: Data Analytics on the Cloud

  • Stepping-Stones to the Cloud
  • Cloud SQL: Your SQL Database on the Cloud
  • Spark on Dataproc


Module 5: Scaling Data Analysis

  • Fast Random Access
  • Datalab
  • Lab: Build a Machine Learning Dataset


Module 6: Machine Learning

  • Introduction to TensorFlow Datasets
  • Pre-built Models for Common Needs


Module 7: Data Processing Architectures

  • Message-Oriented Architectures with Pub/Sub
  • Reference Architecture for Real-Time and Batch Data Processing