About this Course

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Learner Career Outcomes

36%

started a new career after completing these courses

31%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 10 hours to complete
English

Skills you will gain

Application Programming Interfaces (API)Inclusive MLMachine LearningGoogle Cloud PlatformBigquery

Learner Career Outcomes

36%

started a new career after completing these courses

31%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 10 hours to complete
English

Instructor

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

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Week
1

Week 1

1 hour to complete

Introduction to specialization

1 hour to complete
4 videos (Total 11 min), 1 reading, 1 quiz
4 videos
Specialization Agenda5m
Why Google?1m
Why Google Cloud?2m
1 reading
Latest from Google10m
1 practice exercise
Module 1 Quiz30m
2 hours to complete

What it means to be AI first

2 hours to complete
17 videos (Total 52 min)
17 videos
Two stages of ML3m
ML in Google Products5m
Demo: ML in Google Photos1m
Google Translate and Gmail1m
Replacing Heuristic Rules5m
It's all about data3m
Lab Intro - Framing an ML Problem1m
Lab debrief4m
Demo: ML in applications2m
Pre-trained models3m
The ML marketplace is evolving2m
A data strategy5m
Training and serving skew5m
An ML strategy1m
Transform your business2m
Lab Intro - ML use case26s
1 practice exercise
Module 2 Quiz30m
1 hour to complete

How Google does ML

1 hour to complete
6 videos (Total 36 min)
6 videos
ML Surprise4m
The secret sauce8m
ML and Business Processes6m
The Path to ML10m
End of phases deep dive4m
1 practice exercise
Module 3 Quiz30m
1 hour to complete

Inclusive ML

1 hour to complete
7 videos (Total 27 min)
7 videos
Machine Learning and Human Bias2m
Evaluating Metrics for Inclusion3m
Statistical Measurements and acceptable tradeoffs4m
Equality of Opportunity6m
Simulating Decisions3m
Finding Errors in your dataset using Facets4m
1 practice exercise
Module 4 Quiz30m
5 hours to complete

Python notebooks in the cloud

5 hours to complete
20 videos (Total 71 min), 2 readings, 4 quizzes
20 videos
AI Platform Notebooks1m
Demo: AI Platform Notebooks3m
Development process2m
Computation and storage4m
Intro to Qwiklabs5m
Lab debrief11m
Cloud shell2m
Third Wave of Cloud: Fully-Managed Services1m
Third Wave of Cloud: Serverless Data Analysis2m
Third Wave of Cloud: BigQuery and Cloud Datalab52s
Lab Intro: Analyzing data using AI Platform Notebooks and BigQuery1m
Lab Debrief: Analyzing Data using AI Platform Notebooks and BigQuery7m
ML, not rules2m
Vision API in action3m
Video intelligence API3m
Cloud Speech API3m
Translation and NL4m
Lab: Pretrained ML APIs Intro43s
Lab Solution7m
2 readings
AI Platform Notebooks10m
Intro to Renting-VM Lab10m
1 practice exercise
Module 5 Quiz30m
4 minutes to complete

Summary

4 minutes to complete
1 video (Total 4 min)
1 video

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About the Machine Learning with TensorFlow on Google Cloud Platform Specialization

Machine Learning with TensorFlow on Google Cloud Platform

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