Google Cloud Big Data and Machine Learning Fundamentals Training
  1. Home
  2. Courses
  3. Google Cloud Platform (GCP)
  4. Google Cloud Big Data and Machine Learning Fundamentals

Google Cloud Big Data and Machine Learning Fundamentals

Have a query?

+91 9650575554

Discover the basics of Big Data and Machine Learning on Google Cloud. Learn core tools and services to process, analyze, and gain insights from data.

Let's Lalk

Overview

The Google Cloud Big Data and Machine Learning Fundamentals course introduces you to the key concepts and tools for processing, analyzing, and leveraging data on Google Cloud. This training covers services such as BigQuery, Dataflow, AI Platform, and TensorFlow. Through hands-on labs and practical examples, you’ll explore how to build scalable big data pipelines and machine learning models. Ideal for data professionals, analysts, and machine learning enthusiasts seeking foundational knowledge of Google Cloud's capabilities.

Key Features

  • Big Data Foundations
  • Core Tools
  • Machine Learning Overview
  • Scalable Pipelines

Curriculum

Study Plan

1Module 1: Introduction
  • Recognize the data-to-AI lifecycle on Google Cloud.
  • Identify the connection between data engineering and machine learning.
2Module 2: Big Data and Machine Learning on Google Cloud
  • Identify the different aspects of Google Cloud’s infrastructure.
  • Identify the big data and machine learning products on Google Cloud. 
3Module 3: Data Engineering for Streaming Data
  • Identify the different aspects of Google Cloud’s infrastructure. 
  • Identify the big data and machine learning products on Google Cloud.
4Module 4: Data Engineering for Streaming Data
  • Describe the essentials of BigQuery as a data warehouse.
  • Explain how BigQuery processes queries and stores data. 
  • Define BigQuery ML project phases.
  • Build a custom machine learning model with BigQuery ML.  
5Module 5: Data Engineering for Streaming Data
  • Identify different options to build ML models on Google Cloud. 
  • Define Vertex AI and its major features and benefits. 
  • Describe AI solutions in both horizontal and vertical markets. Activities:
6Module 6: The Machine Learning Workflow with Vertex AI
  • Describe an ML workflow and the key steps. 
  • Identify the tools and products to support each stage. 
  • Build an end-to-end ML workflow using AutoML.

About Instructor

Still have question

Still have question?

Top instructors from around the world teach millions of students on CloudFreeks.

Let's talk Whatsapp
Become An Instructor Today

Become An Instructor Today

Top instructors from around the world teach millions of students on CloudFreeks.

Start Today