Course
Skills
Google Cloud Big Data and Machine Learning Fundamentals
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle.
What you'll learn
This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.
Table of contents
Course Introduction
5mins
Course Introduction
5mins
Course Introduction
5mins
Big Data and Machine Learning on Google Cloud
32mins
Big Data and Machine Learning on Google Cloud
32mins
Big Data and Machine Learning on Google Cloud
29mins
- Introduction 2m
- Google Cloud infrastructure 2m
- Compute 6m
- Storage 6m
- The history of big data and ML products 4m
- Big data and ML product categories 3m
- Customer example: Gojek 4m
- Lab introduction: Exploring a BigQuery Public Dataset 1m
- Lab: Exploring a BigQuery Public Dataset 0m
- Summary 1m
- Reading list 0m
Data Engineering for Streaming Data
22mins
- Introduction 3m
- Big data challenges 2m
- Message-oriented architecture 5m
- Designing streaming pipelines with Apache Beam 2m
- Implementing streaming pipelines on Cloud Dataflow 4m
- Visualization with Looker 3m
- Visualization with Data Studio 1m
- Lab introduction: Creating a streaming data pipeline for a Real-Time dashboard with Dataflow 1m
- Summary 1m
- Reading list 0m
Data Engineering for Streaming Data
22mins
- Introduction 3m
- Big data challenges 2m
- Message-oriented architecture 5m
- Designing streaming pipelines with Apache Beam 2m
- Implementing streaming pipelines on Cloud Dataflow 4m
- Visualization with Looker 3m
- Visualization with Looker Studio 1m
- 'Lab introduction: Creating a streaming data pipeline for a Real-Time dashboard with Dataflow' 1m
- Summary 1m
Data Engineering for Streaming Data
22mins
- Introduction 3m
- Big data challenges 2m
- Message-oriented architecture 5m
- Designing streaming pipelines with Apache Beam 2m
- Implementing streaming pipelines on Cloud Dataflow 4m
- Visualization with Looker 3m
- Visualization with Looker Studio 1m
- 'Lab introduction: 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
- Summary 1m
- Reading list 0m
Big Data with BigQuery
38mins
- Introduction 6m
- Storage and analytics 4m
- BigQuery demo - San Francisco bike share 12m
- Introduction to BigQuery ML 4m
- Using BigQuery ML to predict customer lifetime value 5m
- BigQuery ML project phases 2m
- BigQuery ML key commands 3m
- Lab introduction: Predicting Visitor Purchases Using BigQuery ML 1m
- Summary 2m
- Reading list 0m
Big Data with BigQuery
34mins
- Introduction 6m
- Storage and analytics 4m
- Demo: Querying TB of data in seconds 7m
- Introduction to BigQuery ML 4m
- Using BigQuery ML to predict customer lifetime value 5m
- BigQuery ML project phases 2m
- BigQuery ML key commands 3m
- Lab introduction: Predicting Visitor Purchases Using BigQuery ML 1m
- Summary 2m
Big Data with BigQuery
34mins
- Introduction 6m
- Storage and analytics 4m
- Demo: Querying TB of data in seconds 7m
- Introduction to BigQuery ML 4m
- Using BigQuery ML to predict customer lifetime value 5m
- BigQuery ML project phases 2m
- BigQuery ML key commands 3m
- Lab introduction: Predicting Visitor Purchases Using BigQuery ML 1m
- Lab: Predicting Visitor Purchases with BigQuery ML 0m
- Summary 2m
- Reading list 0m
Machine Learning Options on Google Cloud
24mins
Machine Learning Options on Google Cloud
24mins
Machine Learning Options on Google Cloud
24mins
The Machine Learning Workflow with Vertex AI
26mins
The Machine Learning Workflow with Vertex AI
26mins
The Machine Learning Workflow with Vertex AI
26mins
Course Summary
4mins
Course Summary
4mins
Course Summary
4mins
