advancedCertificate$49/mo
Machine Learning Engineering for Production (MLOps)
by Andrew Ng & Robert Crowe · Coursera
4.6(8,900 reviews)
150K+ enrolled4 monthsUpdated 2024-04
What You'll Learn
Understand the fundamentals and key concepts of MLOps
Apply MLOps techniques to solve real-world problems
Understand the fundamentals and key concepts of data pipelines
Apply data pipelines techniques to solve real-world problems
Understand the fundamentals and key concepts of model serving
Apply model serving techniques to solve real-world problems
About This Course
Four-course specialization on designing, deploying, and maintaining ML systems in production environments.
Curriculum
Module 1: MLOps & Data pipelines6 lessons
- Introduction to MLOps
- MLOps in Practice
- Hands-on Exercise: MLOps
- Introduction to data pipelines
- Data pipelines in Practice
- Hands-on Exercise: Data pipelines
Module 2: Model serving & Monitoring6 lessons
- Introduction to model serving
- Model serving in Practice
- Hands-on Exercise: Model serving
- Introduction to monitoring
- Monitoring in Practice
- Hands-on Exercise: Monitoring
Module 3: TFX3 lessons
- Introduction to TFX
- TFX in Practice
- Hands-on Exercise: TFX
Instructor
Andrew Ng & Robert Crowe
Instructor at Coursera
Pros & Cons
Pros
- Offers a certificate of completion
- High-quality video lectures
- Taught by Andrew Ng & Robert Crowe
- Well-structured curriculum
Cons
- Requires paid subscription
- Requires significant prior knowledge
- Self-paced requires discipline
$49/mo
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