Google Cloud Big Data and Machine Learning Fundamentals

سرفصل های دوره

This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle.

1. Course Introduction

1. Meet the author

2. Course introduction

02. Big Data and Machine Learning on Google Cloud

01. Introduction

02. Google Cloud infrastructure

03. Compute

04. Storage

05. The history of big data and ML products

06. Big data and ML product categories

07. Customer example - Gojek

08. Pluralsight - Getting Started with GCP and Qwiklabs

09. Lab introduction - Exploring a BigQuery Public Dataset

11. Summary

03. Data Engineering for Streaming Data

01. Introduction

02. Big data challenges

03. Message-oriented architecture

04. Designing streaming pipelines with Apache Beam

05. Implementing streaming pipelines on Cloud Dataflow

06. Visualization with Looker

07. Visualization with Data Studio

08. Lab introduction - Creating a streaming data pipeline for a Real-Time dashboar

10. Summary

04. Big Data with BigQuery

01. Introduction

02. Storage and analytics

03. BigQuery demo - San Francisco bike share

04. Introduction to BigQuery ML

05. Using BigQuery ML to predict customer lifetime value

06. BigQuery ML project phases

07. BigQuery ML key commands

08. Lab introduction - Predicting Visitor Purchases Using BigQuery ML

10. Summary

5. Machine Learning Options on Google Cloud

1. Introduction

2. Options to build ML models

3. Pre-built APIs

4. AutoML

5. Custom training

6. Vertex AI

7. AI Solutions

8. Summary

06. The Machine Learning Workflow with Vertex AI

01. Introduction

02. Data preparation

03. Model training

04. Model evaluation

05. Model deployment and monitoring

06. Lab introduction - Predicting loan risk with AutoML

08. Lab recap - Predicting loan risk with AutoML

09. Summary

7. Course Summary

1. Course summary

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تولید کننده: PluralSight