Google Cloud Platform Big Data and Machine Learning Fundamentals

By Google Cloud
This course introduces participants to the big data capabilities of Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud.
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Course info
Rating
(26)
Level
Intermediate
Updated
Dec 17, 2020
Duration
4h 55m
Table of contents
Introduction to the Data and Machine Learning on Google Cloud Course
Course Overview 0m Course Introduction 6m
Introduction to Google Cloud Platform
Introduction to Google Cloud Platform 0m Introduction to Google Cloud Platform 4m Compute Power for Analytic and ML Workloads 10m Demo - Creating a VM on Compute Engine 14m Elastic Storage with Google Cloud Storage 7m Build on Google's Global Network 3m Security - On-premise vs Cloud-native 3m Evolution of Google Cloud Big Data Tools 5m Getting Started With GCP And Qwiklabs 4m Lab: Exploring a BigQuery Public Dataset 0m Choosing the Right Approach 6m What you can do with GCP 4m Activity - Explore a Customer Use Case 7m The Different Data Roles in an Organization 7m
Recommending Products using Cloud SQL and Spark
Product Recommendations using Cloud SQL and Spark 0m How Businesses Use Recommendation Systems 7m Introduction to Machine Learning 6m ML for Recommending Housing Rentals 9m Move From On-Premise to Google Cloud Platform 10m Demo - From Zero to an Apache Spark Job in 10 Minutes or Less 6m Challenge: Utilizing and tuning on-premise clusters 6m Move storage off-cluster with Google Cloud Storage 5m Lab - Recommending Products Using Cloud SQL and Spark 2m Lab: Recommending Products Using Cloud SQL and Spark 0m
Predict Visitor Purchases Using BigQuery ML
Predicting Visitor Purchases with Classification using BigQuery ML 0m Introduction to BigQuery 6m Demo - Query 2 Billion Lines of Code in Less Than 30 Seconds 11m BigQuery - Fast SQL Engine 4m Demo - Exploring Bike Share Data with SQL 12m Data Quality 5m BigQuery Managed Storage 5m Insights from Geographic Data 2m Demo - Analyzing Lightning Strikes with BigQuery GIS 7m Choosing a ML Model Type for Structured Data 5m Predicting Customer Lifetime Value 5m BigQueryML - Create Models with SQL 4m Phases in ML Model Lifecycle 3m BigQuery ML - Key Features Walkthrough 5m Lab: Predicting Visitor Purchases with a Classification Model with BigQuery ML 0m
Real-time IoT Dashboards with Pub/Sub, Dataflow, and Data Studio
Real-time Dashboards with Pub_Sub, Dataflow, and Data Studio 0m Modern Data Pipeline Challenges 3m Message-oriented Architectures with Cloud Pub/Sub 6m Designing Streaming Pipelines with Apache Beam 4m Implementing Streaming Pipelines on Cloud Dataflow 3m Visualizing Insights with Data Studio 3m Creating Charts with Data Studio 3m Demo - Data Studio Walkthrough 7m Lab - Creating a Streaming Data Pipeline for a Real-Time Dashboard with Dataflow 1m Lab: Creating a Streaming Data Pipeline for a Real-Time Dashboard with Dataflow 0m
Deriving Insights from Unstructured Data using Machine Learning
Deriving Insights from Unstructured Data using Machine Learning 0m Where is Unstructured ML used in business? 4m How Does ML on Unstructured Data Work? 3m Demo - ML built into Google Photos 2m Comparing Approaches to ML 3m Demo - Using ML Building Blocks 7m Using Pre-built AI to Create a Chatbot 5m Customizing Pre-built Models with AutoML 7m Lab - Classifying Images of Clouds in the Cloud with AutoML Vision 0m Lab: Classifying Images of Clouds in the Cloud with AutoML Vision 0m Building a Custom Model 1m Demo - Text Classification Done Three Ways 22m
Summary
Summary 0m Course Summary 5m
Description
Course info
Rating
(26)
Level
Intermediate
Updated
Dec 17, 2020
Duration
4h 55m
Description

This course introduces participants to the big data capabilities of Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud.

About the author
Google Cloud
About the author

Build, innovate, and scale with Google Cloud Platform.

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