About this Course

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Shareable Certificate
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Advanced Level

Intermediate experience in working with Python, Git for version control, Docker for containerization and Kubernetes for deployment and scaling.

Approx. 13 hours to complete
English

What you will learn

  • Create new MLflow projects to create and register models.

  • Use Hugging Face models and datasets to build your own APIs.

  • Package and deploy Hugging Face to the Cloud using automation.

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

Intermediate experience in working with Python, Git for version control, Docker for containerization and Kubernetes for deployment and scaling.

Approx. 13 hours to complete
English

Offered by

Placeholder

Duke University

Syllabus - What you will learn from this course

Week
1
Week 1
3 hours to complete

Introduction to MLflow

3 hours to complete
13 videos (Total 82 min), 2 readings, 1 quiz
Week
2
Week 2
3 hours to complete

Introduction to Hugging Face

3 hours to complete
14 videos (Total 98 min)
Week
3
Week 3
3 hours to complete

Deploying Hugging Face

3 hours to complete
13 videos (Total 76 min)
Week
4
Week 4
4 hours to complete

Applied Hugging Face

4 hours to complete
11 videos (Total 65 min)

Frequently Asked Questions

More questions? Visit the Learner Help Center.