DeepLearning.AI

Machine Learning in Production

121,947 already enrolled

Gain insight into a topic and learn the fundamentals.
4.8

(2,986 reviews)

Intermediate level

Recommended experience

Flexible schedule
Approx. 11 hours
Learn at your own pace
98%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.8

(2,986 reviews)

Intermediate level

Recommended experience

Flexible schedule
Approx. 11 hours
Learn at your own pace
98%
Most learners liked this course

What you'll learn

  • Identify key components of the ML project lifecycle, pipeline & select the best deployment & monitoring patterns for different production scenarios.

  • Optimize model performance and metrics by prioritizing  disproportionately important examples that represent key slices of a dataset.

  • Solve production challenges regarding structured, unstructured, small, and big data, how label consistency is essential, and how you can improve it.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

6 quizzes

Taught in English

See how employees at top companies are mastering in-demand skills

Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 3 modules in this course

This week covers a quick introduction to machine learning production systems focusing on their requirements and challenges. Next, the week focuses on deploying production systems and what is needed to do so robustly while facing constantly changing data.

What's included

8 videos3 readings2 quizzes1 app item2 ungraded labs

This week is about model strategies and key challenges in model development. It covers error analysis and strategies to work with different data types. It also addresses how to cope with class imbalance and highly skewed data sets.

What's included

16 videos2 readings2 quizzes1 ungraded lab

This week is all about working with different data types and ensuring label consistency for classification problems. This leads to establishing a performance baseline for your model and discussing strategies to improve it given your time and resources constraints. This week also includes the final end-to-end project.

What's included

17 videos5 readings2 quizzes2 ungraded labs

Instructor

Instructor ratings
4.9 (971 ratings)
Andrew Ng

Top Instructor

DeepLearning.AI
45 Courses7,679,484 learners

Offered by

DeepLearning.AI

Recommended if you're interested in Machine Learning

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 2986

4.8

2,986 reviews

  • 5 stars

    84.54%

  • 4 stars

    12.75%

  • 3 stars

    1.84%

  • 2 stars

    0.56%

  • 1 star

    0.29%

AN
5

Reviewed on Jun 11, 2022

EG
5

Reviewed on May 19, 2021

RG
5

Reviewed on Jun 4, 2021

New to Machine Learning? Start here.

Placeholder

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

Frequently asked questions