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 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
- 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
- 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 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 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
Course FAQ
GCP is a public cloud vendor. Other competitors are Microsoft Azure, and Amazon Web Services (AWS). With these cloud based services, customers are able to access computer resources housed within their selected vendor's platform.
This course is for anyone that wants to learn more about Google Cloud and has a basic understanding of machine learning. Being an intermediate course, it does require some light experience and familiarity with IT.
In this GCP course you will learn how to use google cloud for big data and the machine learning capabilities. You will learn the ease, power and flexibility of big data solutions within Google Cloud.