Google Cloud Platform Big Data and Machine Learning Fundamentals
By Google Cloud
This 1-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.
Course info
Rating
Level
Intermediate
Updated
Jun 29, 2020
Duration
4h 55m
Table of contents
Course Overview
Introduction to Google Cloud Platform
Activity - Explore a Customer Use Case
7m
Build on Google's Global Network
3m
Choosing the Right Approach
6m
Compute Power for Analytic and ML Workloads
10m
Demo - Creating a VM on Compute Engine
14m
Elastic Storage with Google Cloud Storage
7m
Evolution of Google Cloud Big Data Tools
5m
Introduction to Google Cloud Platform
4m
Lab: Explore a BigQuery Public Dataset
0m
Module 1- Introduction to Google Cloud Platform
0m
Security - On-premise vs Cloud-native
3m
The Different Data Roles in an Organization
7m
What you an do with GCP
4m
Recommending Products using Cloud SQL and Spark
Demo - From Zero to an Apache Spark Job in 10 Minutes or Less
6m
How Businesses Use Recommendation Systems
7m
Introduction to Machine Learning
6m
Lab - Recommend Products Using Cloud SQL and SparkML
2m
Lab: Recommend Products using ML with Cloud SQL and Dataproc
0m
ML for Recommending Housing Rentals
9m
Module 2 - Recommending Products using Cloud SQL and Spark
0m
Move From On-Premise to Google Cloud Platform
10m
Move Storage Off-Cluster with Google Cloud Storage
5m
Utilizing and Tuning On-Premise Clusters
6m
Predict Visitor Purchases Using BigQuery ML
BigQuery - Fast SQL Engine
4m
BigQuery ML - Key Features Walkthrough
5m
BigQuery Managed Storage
5m
BigQueryML - Create Models with SQL
4m
Choosing a ML Model Type for Structured Data
5m
Data Quality
5m
Demo - Analyzing Lightning Strikes with BigQuery GIS
7m
Demo - Exploring Bike Share Data with SQL
12m
Demo - Query 2 Billion Lines of Code in Less Than 30 Seconds
11m
Insights from Geographic Data
2m
Introduction to BigQuery
6m
Lab: Predict Visitor Purchases with a Classification Model with BigQuery ML
0m
Module 3 - Predict Visitor Purchases Using BigQuery ML
0m
Phases in ML Model Lifecycle
3m
Predicting Customer Lifetime Value
5m
Create Streaming Data Pipelines with Cloud Pub/sub and Cloud Dataflow
Creating Charts with Data Studio
3m
Demo - Data Studio Walkthrough
7m
Designing Streaming Pipelines with Apache Beam
4m
Implementing Streaming Pipelines on Cloud Dataflow
3m
Lab - Real-time IoT Dashboards with Pub/Sub, Dataflow, and Data Studio
1m
Lab: Create a Streaming Data Pipeline for a Real-Time Dashboard with Cloud Dataflow
0m
Message-oriented Architectures with Cloud Pub/Sub
6m
Modern Data Pipeline Challenges
3m
Module 4 - Create Streaming Data Pipelines with Cloud Pub/sub and Cloud Dataflow
0m
Visualizing Insights with Data Studio
3m
Classify Images with Pre-Built Models using Vision API and Cloud AutoML
Building a Custom Model
1m
Comparing Approaches to ML
3m
Customizing Pre-built Models with AutoML
7m
Demo - ML built into Google Photos
2m
Demo - Text Classification Done Three Ways
22m
Demo - Using ML Building Blocks
7m
How Does ML on Unstructured Data Work?
3m
Lab - Classify Images with Pre-built ML Models
0m
Lab: Classify Images with Pre-built ML Models using Cloud Vision API and AutoML
0m
Module 5 - Classify Images with Pre-Built Models using Vision API and Cloud AutoML
0m
Using Pre-built AI to Create a Chatbot
5m
Where is Unstructured ML used in business?
4m
Summary
Description
Course info
Rating
Level
Intermediate
Updated
Jun 29, 2020
Duration
4h 55m
Description
This 1-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.
About the author
About the author
Build, innovate, and scale with Google Cloud Platform.
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