About this Course

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Intermediate Level
Approx. 12 hours to complete
English

Instructor

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. 12 hours to complete
English

Offered by

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Google Cloud

Syllabus - What you will learn from this course

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Week
1

Week 1

1 hour to complete

Introduction

1 hour to complete
2 videos (Total 9 min), 3 readings, 1 quiz
2 videos
Getting Started with Google Cloud Platform and Qwiklabs3m
3 readings
How to download course resources2m
Quiz Preparation10m
How to Send Feedback10m
1 practice exercise
Use Cases30m
4 hours to complete

What is Machine Learning?

4 hours to complete
10 videos (Total 71 min)
10 videos
Characteristics of Data7m
ML vs. Artificial Intelligence3m
Predictive Insights and Repeated Decisions4m
Real Life Use Cases5m
Building a Chatbot Lab Review16m
Why ML now? Part 14m
Why ML Now? Part 28m
Understanding Images Lab Review10m
Using AI Responsibly2m
1 practice exercise
Module 2 Quiz5m
Week
2

Week 2

3 hours to complete

Employing ML

3 hours to complete
16 videos (Total 93 min), 2 readings, 1 quiz
16 videos
ML Terminology in Context5m
Acquiring Labeled Data Part 14m
Acquiring Labeled Data Part 25m
Labeling Service Demo5m
Model Training Part 15m
Model Training Part 24m
Model Evaluating5m
General Best Practices4m
Human Bias in ML Part 15m
Human Bias in ML Part 25m
Human Bias in ML Part 33m
Activity: Understanding Learned Relationships using the Embedding Projector Review7m
Fairness in ML Part 15m
Fairness in ML Part 23m
Activity: Applying Fairness Concerns with the What-If tool Review15m
2 readings
Activity: Understanding Learned Relationships using the Embedding Projector15m
Activity: Applying Fairness Concerns with the What-If tool40m
1 practice exercise
Module 3 Quiz5m
Week
3

Week 3

2 hours to complete

Discovering ML Use Cases

2 hours to complete
14 videos (Total 67 min), 1 reading, 1 quiz
14 videos
Simplifying Rule-based Systems Part 14m
Simplifying Rule-based Systems Part 23m
Simplifying Rule-based Systems Part 34m
Streamlining Business Processes5m
Understanding Unstructured Data4m
Personalizing Experiences4m
Recommender Systems Part 14m
Recommender Systems Part 24m
Inspiring ML Use Cases5m
When to Use ML6m
Activity: Generating Novel Rhythms with Machine Learning Review4m
ML in Series8m
Summary2m
1 reading
Activity: Generating Novel Rhythms with Machine Learning20m
1 practice exercise
Module 4 Quiz5m
Week
4

Week 4

3 hours to complete

How to be successful at ML

3 hours to complete
11 videos (Total 78 min)
11 videos
Data Strategy Part 18m
Data Strategy Part 24m
Data Strategy Part 36m
Predicting visitor purchases with BQML model18m
Data Governance Part 17m
Data Masking Demo2m
Data Governance Part 24m
Data Governance Part 38m
Creating a Culture of Innovation Part 15m
Creating a Culture of Innovation Part 26m
1 practice exercise
Module 5 Quiz5m
4 minutes to complete

Summary

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

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