About this Course

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Flexible deadlines
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Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
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Advanced Level

Working knowledge of ML & Python, familiarity with Jupyter notebook & stat, completion of the Deep Learning & AWS Cloud Technical Essentials courses

Approx. 14 hours to complete
English

What you will learn

  • Prepare data, detect statistical data biases, and perform feature engineering at scale to train models with pre-built algorithms.

Skills you will gain

  • Statistical Data Bias Detection
  • Multi-class Classification with FastText and BlazingText
  • Data ingestion
  • Exploratory Data Analysis
  • Automated Machine Learning (AutoML)
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Advanced Level

Working knowledge of ML & Python, familiarity with Jupyter notebook & stat, completion of the Deep Learning & AWS Cloud Technical Essentials courses

Approx. 14 hours to complete
English

Offered by

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DeepLearning.AI

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Amazon Web Services

Syllabus - What you will learn from this course

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Week1
Week 1
4 hours to complete

Week 1: Explore the Use Case and Analyze the Dataset

4 hours to complete
7 videos (Total 42 min), 2 readings, 5 quizzes
Week2
Week 2
3 hours to complete

Week 2: Data Bias and Feature Importance

3 hours to complete
9 videos (Total 34 min), 1 reading, 3 quizzes
Week3
Week 3
4 hours to complete

Week 3: Use Automated Machine Learning to train a Text Classifier

4 hours to complete
9 videos (Total 60 min), 1 reading, 3 quizzes
Week4
Week 4
4 hours to complete

Week 4: Built-in algorithms

4 hours to complete
7 videos (Total 36 min), 3 readings, 3 quizzes

Reviews

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About the Practical Data Science on the AWS Cloud Specialization

Practical Data Science on the AWS Cloud

Frequently Asked Questions

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