About this Course

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Learner Career Outcomes

35%

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. 8 hours to complete
English

What you will learn

  • Frame a business use case as a machine learning problem.

  • Gain a broad perspective of machine learning and where it can be used

  • Convert a candidate use case to be driven by machine learning

Skills you will gain

Application Programming Interfaces (API)Inclusive MLMachine LearningGoogle Cloud PlatformBigquery

Learner Career Outcomes

35%

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. 8 hours to complete
English

Instructor

Offered by

Placeholder

Google Cloud

Syllabus - What you will learn from this course

Content RatingThumbs Up94%(8,843 ratings)Info
Week
1

Week 1

23 minutes to complete

Introduction to Course

23 minutes to complete
3 videos (Total 7 min), 1 reading, 1 quiz
3 videos
Why Google?1m
Why Google Cloud?2m
1 reading
Latest from Google10m
1 practice exercise
Introduction to ML on Google Cloud6m
4 hours to complete

What it means to be AI first

4 hours to complete
23 videos (Total 98 min), 1 reading, 4 quizzes
23 videos
Two stages of ML3m
ML in Google Products5m
ML in Google Photos51s
Google Translate and Gmail1m
Replacing Heuristic Rules4m
Pre-trained models3m
Machine Learning with Sara Robinson (ML, not rules)2m
Vision API in action3m
Video intelligence API3m
Cloud Speech-to-Text API3m
Translation and NL44m
Text-to-Speech4m
DialogFlow9m
Lab Intro: Pretrained ML APIs Intro49s
Lab Solution Invoking Machine Learning APIs9m
It's all about data3m
A data strategy5m
Training and serving skew5m
ML Training Phases13m
Lab Intro - Framing an ML Problem1m
Lab debrief4m
Demo: ML in applications1m
1 reading
What it Means to be AI First10m
3 practice exercises
Introduction to AI First10m
Pre-trained ML APIs10m
All about data10m
Week
2

Week 2

1 hour to complete

How Google does ML

1 hour to complete
8 videos (Total 29 min), 1 reading, 2 quizzes
8 videos
Transform your business2m
Lab Intro - ML use case26s
Introduction40s
ML Surprise4m
The secret sauce8m
ML and Business Processes6m
End of phases deep dive4m
1 reading
How Google does ML10m
2 practice exercises
Transform your business6m
How Google does ML8m
1 hour to complete

Inclusive ML

1 hour to complete
6 videos (Total 25 min), 1 reading, 1 quiz
6 videos
Evaluating Metrics for Inclusion3m
Statistical Measurements and acceptable tradeoffs4m
Equality of Opportunity6m
Simulating Decisions3m
Finding Errors in your dataset using Facets4m
1 reading
Inclusive ML10m
1 practice exercise
Inclusive ML14m
Week
3

Week 3

2 hours to complete

Python Notebooks in the cloud

2 hours to complete
7 videos (Total 23 min), 2 readings, 2 quizzes
7 videos
AI Platform Notebooks1m
Demo AI Platform Notebooks 3m
Development process2m
Computation and storage4m
Lab Intro: Analyzing data using AI Platform Notebooks and BigQuery1m
Lab Debrief Analyzing Data using AI Platform Notebooks and BigQuery7m
2 readings
AI Platform Notebooks10m
Python Notebooks in the Cloud10m
1 practice exercise
Python Notebooks in the Cloud6m
24 minutes to complete

Summary

24 minutes to complete
1 video (Total 4 min), 2 readings
1 video
2 readings
Resources - Compiled as PDF10m
All Quiz Questions on PDF10m

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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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