Course
Skills
End-to-End Machine Learning with TensorFlow on Google Cloud
This course is set up as a workshop where you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform. It involves building an end-to-end model from data exploration all the way to deploying an ML model and getting predictions from it.
What you'll learn
One of the best ways to review something is to work with the concepts and technologies that you have learned. So, this course is set up as a workshop and in this workshop, you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform. It involves building an end-to-end model from data exploration all the way to deploying an ML model and getting predictions from it.
Table of contents
Welcome to the Course
4mins
Machine Learning (ML) on Google Cloud Platform (GCP)
12mins
Explore the Data
27mins
Create the dataset
24mins
Build the Model
35mins
Operationalize the model
87mins
- Operationalizing the model 8m
- Lab 4 Intro :Preprocessing with Cloud Dataflow 0m
- Lab: Preprocessing using Dataflow 0m
- Lab 4 demo and review 13m
- Cloud AI Platform 4m
- Train and deploy with Cloud AI Platform 3m
- Lab 5 :Training on Cloud AI Platform 2m
- Lab: Training on Cloud AI Platform 0m
- Lab 5 demo and review 18m
- BigQuery ML 5m
- Lab Introduction 0m
- Lab Solution BigQuery ML 11m
- Deploying and Predicting with Cloud AI Platform 4m
- Lab 6 Intro :Deploying and Predicting with Cloud AI Platform 1m
- Lab: Deploying and predicting with Cloud AI Platform 0m
- Lab 6 :demo and review 7m
- Lab 7 :Building an App Engine app to serve ML predictions 3m
- Lab 7 :demo and review 10m
Summary
4mins
