基于Google云平台的的智能分析、机器学习和人工智能

课程概况

Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud Platform depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces AI Platform Notebooks and BigQuery Machine Learning. Also, this course covers how to productionalize machine learning solutions using Kubeflow. Learners will get hands-on experience building machine learning models on Google Cloud Platform using QwikLabs.

课程大纲

Introduction

This module introduces the course and agenda

Introduction to Analytics and AI

This modules talks about ML options on GCP

Prebuilt ML model APIs for Unstructured Data

This module focuses on using pre-built ML APIs on your unstructured data

Big Data Analytics with Cloud AI Platform Notebooks

This module covers how to use AI Platform Notebooks

Productionizing Custom ML Models

This module covers building custom ML models and introduces Kubeflow and AI Hub

Custom Model building with SQL in BigQuery ML

This module covers BigQuery ML

Custom Model Building with Cloud AutoML

This module introduces Cloud AutoML to build powerful models without coding

Summary

This module recaps the topics covered in the course