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. 10 hours to complete
English

What you will learn

  • Store and manage machine learning features using a feature store

  • Debug, profile, tune and evaluate models while tracking data lineage and model artifacts

Skills you will gain

  • ML Pipelines and MLOps
  • Model Training and Deployment with BERT
  • Model Debugging and Evaluation
  • Feature engineering and feature store
  • Artifact and lineage tracking
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. 10 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

Week1
Week 1
3 hours to complete

Week 1: Feature Engineering and Feature Store

3 hours to complete
11 videos (Total 40 min), 2 readings, 4 quizzes
Week2
Week 2
3 hours to complete

Week 2: Train, Debug, and Profile a Machine Learning Model

3 hours to complete
8 videos (Total 38 min), 1 reading, 3 quizzes
Week3
Week 3
4 hours to complete

Week 3: Deploy End-To-End Machine Learning pipelines

4 hours to complete
8 videos (Total 63 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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