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
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
