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
