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.
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

Skills you will gain

  • Human-in-the-Loop Pipelines
  • Distributed Model Training and Hyperparameter Tuning
  • Cost Savings and Performance Improvements
  • A/B Testing and Model Deployment
  • Data Labeling at Scale
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.
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

Week
1

Week 1

5 hours to complete

Week 1: Advanced model training, tuning and evaluation

5 hours to complete
8 videos (Total 47 min)
Week
2

Week 2

5 hours to complete

Week 2: Advanced model deployment and monitoring

5 hours to complete
10 videos (Total 62 min)
Week
3

Week 3

5 hours to complete

Week 3: Data labeling and human-in-the-loop pipelines

5 hours to complete
7 videos (Total 41 min), 3 readings, 3 quizzes

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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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