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Course
- Cloud
Google Cloud Platform Big Data and Machine Learning Fundamentals
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.
What you'll learn
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.
Table of contents
- Introduction to Google Cloud Platform | 10s
- Introduction to Google Cloud Platform | 3m 52s
- Compute Power for Analytic and ML Workloads | 9m 41s
- Demo - Creating a VM on Compute Engine | 13m 58s
- Elastic Storage with Google Cloud Storage | 6m 34s
- Build on Google's Global Network | 3m 19s
- Security - On-premise vs Cloud-native | 2m 55s
- Evolution of Google Cloud Big Data Tools | 5m 4s
- Getting Started With GCP And Qwiklabs | 3m 48s
- Lab: Exploring a BigQuery Public Dataset | 10s
- Choosing the Right Approach | 5m 52s
- What you can do with GCP | 3m 41s
- Activity - Explore a Customer Use Case | 7m 17s
- The Different Data Roles in an Organization | 6m 54s
- Product Recommendations using Cloud SQL and Spark | 10s
- How Businesses Use Recommendation Systems | 6m 31s
- Introduction to Machine Learning | 5m 52s
- ML for Recommending Housing Rentals | 8m 44s
- Move From On-Premise to Google Cloud Platform | 9m 44s
- Demo - From Zero to an Apache Spark Job in 10 Minutes or Less | 6m 20s
- Challenge: Utilizing and tuning on-premise clusters | 6m 5s
- Move storage off-cluster with Google Cloud Storage | 4m 54s
- Lab - Recommending Products Using Cloud SQL and Spark | 2m 7s
- Lab: Recommending Products Using Cloud SQL and Spark | 10s
- Predicting Visitor Purchases with Classification using BigQuery ML | 10s
- Introduction to BigQuery | 5m 55s
- Demo - Query 2 Billion Lines of Code in Less Than 30 Seconds | 11m 2s
- BigQuery - Fast SQL Engine | 4m 13s
- Demo - Exploring Bike Share Data with SQL | 11m 38s
- Data Quality | 4m 35s
- BigQuery Managed Storage | 5m 15s
- Insights from Geographic Data | 2m 21s
- Demo - Analyzing Lightning Strikes with BigQuery GIS | 7m 1s
- Choosing a ML Model Type for Structured Data | 4m 54s
- Predicting Customer Lifetime Value | 5m 17s
- BigQueryML - Create Models with SQL | 3m 41s
- Phases in ML Model Lifecycle | 2m 32s
- BigQuery ML - Key Features Walkthrough | 4m 54s
- Lab: Predicting Visitor Purchases with a Classification Model with BigQuery ML | 10s
- Real-time Dashboards with Pub_Sub, Dataflow, and Data Studio | 10s
- Modern Data Pipeline Challenges | 3m 17s
- Message-oriented Architectures with Cloud Pub/Sub | 6m 10s
- Designing Streaming Pipelines with Apache Beam | 3m 44s
- Implementing Streaming Pipelines on Cloud Dataflow | 3m 11s
- Visualizing Insights with Data Studio | 3m 22s
- Creating Charts with Data Studio | 2m 42s
- Demo - Data Studio Walkthrough | 7m 9s
- Lab - Creating a Streaming Data Pipeline for a Real-Time Dashboard with Dataflow | 1m 13s
- Lab: Creating a Streaming Data Pipeline for a Real-Time Dashboard with Dataflow | 10s
- Deriving Insights from Unstructured Data using Machine Learning | 10s
- Where is Unstructured ML used in business? | 4m 17s
- How Does ML on Unstructured Data Work? | 3m 17s
- Demo - ML built into Google Photos | 1m 36s
- Comparing Approaches to ML | 2m 51s
- Demo - Using ML Building Blocks | 7m 9s
- Using Pre-built AI to Create a Chatbot | 4m 59s
- Customizing Pre-built Models with AutoML | 7m 14s
- Lab - Classifying Images of Clouds in the Cloud with AutoML Vision | 22s
- Lab: Classifying Images of Clouds in the Cloud with AutoML Vision | 10s
- Building a Custom Model | 1m 17s
- Demo - Text Classification Done Three Ways | 21m 58s
