**Starting May 8, enrollment for the Machine Learning Engineering for Production Specialization will be closed. Please enroll in this specialization or to individual courses by then to gain access to this course material.**
Machine Learning Data Lifecycle in Production
This course is part of Machine Learning Engineering for Production (MLOps) Specialization
Taught in English
Some content may not be translated
Instructor: Robert Crowe
Sponsored by MAHE Manipal
45,239 already enrolled
Course
(825 reviews)
87%
Recommended experience
What you'll 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.
Details to know
Add to your LinkedIn profile
13 quizzes
Course
(825 reviews)
87%
Recommended experience
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 4 modules in this course
This week covers a quick introduction to machine learning production systems. More concretely you will learn about leveraging the TensorFlow Extended (TFX) library to collect, label and validate data to make it production ready.
What's included
12 videos5 readings4 quizzes1 programming assignment1 ungraded lab
Implement feature engineering, transformation, and selection with TensorFlow Extended by encoding structured and unstructured data types and addressing class imbalances
What's included
12 videos2 readings3 quizzes1 programming assignment3 ungraded labs
Understand the data journey over a production system’s lifecycle and leverage ML metadata and enterprise schemas to address quickly evolving data.
What's included
8 videos3 readings3 quizzes1 programming assignment2 ungraded labs
Combine labeled and unlabeled data to improve ML model accuracy and augment data to diversify your training set.
What's included
6 videos4 readings3 quizzes3 ungraded labs
Instructor
Offered by
Why people choose Coursera for their career
Learner reviews
Showing 3 of 825
825 reviews
- 5 stars
59.78%
- 4 stars
21.98%
- 3 stars
9.78%
- 2 stars
4.83%
- 1 star
3.62%
Recommended if you're interested in Data Science
DeepLearning.AI
DeepLearning.AI
DeepLearning.AI
DeepLearning.AI
Open new doors with Coursera Plus
Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy