About this Course

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Flexible deadlines
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Shareable Certificate
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100% online
Start instantly and learn at your own schedule.
Advanced Level

• Some knowledge of AI / deep learning

• Intermediate Python skills

• Experience with any deep learning framework (PyTorch, Keras, or TensorFlow)

Approx. 20 hours to complete
English

What you will learn

  •  Identify responsible data collection for building a fair ML production system.

  • Implement feature engineering, transformation, and selection with TensorFlow Extended

  • Understand the data journey over a production system’s lifecycle and leverage ML metadata and enterprise schemas to address quickly evolving data.

Skills you will gain

ML MetadataConvolutional Neural NetworkTensorFlow Extended (TFX)Data ValidationData transformation
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

• Some knowledge of AI / deep learning

• Intermediate Python skills

• Experience with any deep learning framework (PyTorch, Keras, or TensorFlow)

Approx. 20 hours to complete
English

Offered by

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DeepLearning.AI

Syllabus - What you will learn from this course

Week
1

Week 1

5 hours to complete

Week 1: Collecting, Labeling and Validating Data

5 hours to complete
12 videos (Total 95 min), 2 readings, 5 quizzes
Week
2

Week 2

7 hours to complete

Week 2: Feature Engineering, Transformation and Selection

7 hours to complete
12 videos (Total 86 min), 1 reading, 4 quizzes
Week
3

Week 3

5 hours to complete

Week 3: Data Journey and Data Storage

5 hours to complete
8 videos (Total 42 min), 1 reading, 4 quizzes
Week
4

Week 4

3 hours to complete

Week 4 (Optional): Advanced Labeling, Augmentation and Data Preprocessing

3 hours to complete
6 videos (Total 31 min), 3 readings, 3 quizzes

Reviews

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About the Machine Learning Engineering for Production (MLOps) Specialization

Machine Learning Engineering for Production (MLOps)

Frequently Asked Questions

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