About this Course

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Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 11 hours to complete

Suggested: 25 hours/week...

English

Subtitles: English

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 11 hours to complete

Suggested: 25 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1

Week 1

5 minutes to complete

Introduction

5 minutes to complete
2 videos (Total 5 min)
2 videos
Getting Started with Google Cloud Platform and Qwiklabs3m
1 hour to complete

Introduction to Analytics and AI

1 hour to complete
4 videos (Total 18 min)
4 videos
Machine Learning and AI3m
ML options on Google Cloud Platform1m
Game: Reviewing key ML concepts5m
1 practice exercise
Introduction to Analytics and AI30m
1 hour to complete

Prebuilt ML model APIs for Unstructured Data

1 hour to complete
3 videos (Total 9 min)
3 videos
ML APIs for Enriching Data4m
Lab Intro: Using the Natural Language API to Classify Unstructured Text47s
1 practice exercise
Prebuilt ML model APIs for Unstructured Data4m
2 hours to complete

Big Data Analytics with Cloud AI Platform Notebooks

2 hours to complete
3 videos (Total 7 min)
3 videos
BigQuery Magic and Ties to Pandas1m
Lab Intro: BigQuery in Jupyter Labs on AI Platform28s
1 practice exercise
Big Data Analytics with Cloud AI Platform Notebooks30m
Week
2

Week 2

1 hour to complete

Productionizing Custom ML Models

1 hour to complete
6 videos (Total 14 min)
6 videos
Ways to do custom ML on GCP5m
Kubeflow4m
AI Hub1m
Lab Intro: Running AI models on Kubeflow11s
Summary23s
1 practice exercise
Productionizing Custom ML Models4m
2 hours to complete

Custom Model building with SQL in BigQuery ML

2 hours to complete
6 videos (Total 15 min)
6 videos
Classification, Regregression, and Recommender Models5m
Unsupervised ML with Clustering Models2m
Lab Intro: Predict Bike Trip Duration with a Regression Model in BQML19s
Lab Intro: Movie Recommendations in BigQuery ML16s
Summary15s
1 practice exercise
Custom Model building with SQL in BigQuery ML4m
1 hour to complete

Custom Model Building with Cloud AutoML

1 hour to complete
4 videos (Total 26 min)
4 videos
Auto ML Vision2m
Auto ML NLP3m
Auto ML Tables7m
1 practice exercise
Custom Model Building with Cloud AutoML4m
3 minutes to complete

Summary

3 minutes to complete
1 video (Total 3 min)
1 video
4.4
10 ReviewsChevron Right

Top reviews from Smart Analytics, Machine Learning, and AI on GCP

By SKFeb 17th 2020

Good course to understand ML on high level on GCP.

About Google Cloud

We help millions of organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Our products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping customers apply our technologies to create success....

Frequently Asked Questions

  • Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

  • If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

  • Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

  • If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

  • This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.

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