IBM
IBM Machine Learning Professional Certificate
IBM

IBM Machine Learning Professional Certificate

Prepare for a career in machine learning. Gain the in-demand skills and hands-on experience to get job-ready in less than 3 months.

Taught in English

Some content may not be translated

Kopal Garg
Xintong Li
Artem Arutyunov

Instructors: Kopal Garg

36,140 already enrolled

Included with Coursera Plus

Professional Certificate - 6 course series

Earn a career credential that demonstrates your expertise

4.6

(1,619 reviews)

Intermediate level

Recommended experience

3 months at 10 hours a week
Flexible schedule
Learn at your own pace
Earn degree credit

What you'll learn

  • Master the most up-to-date practical skills and knowledge machine learning experts use in their daily roles

  • Learn how to compare and contrast different machine learning algorithms by creating recommender systems in Python

  • Develop working knowledge of KNN, PCA, and non-negative matrix collaborative filtering

  • Predict course ratings by training a neural network and constructing regression and classification models

Details to know

Shareable certificate

Add to your LinkedIn profile

Professional Certificate - 6 course series

Earn a career credential that demonstrates your expertise

4.6

(1,619 reviews)

Intermediate level

Recommended experience

3 months at 10 hours a week
Flexible schedule
Learn at your own pace
Earn degree credit

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

Placeholder

Advance your career with in-demand skills

  • Receive professional-level training from IBM
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from IBM
Placeholder

Get exclusive access to career resources upon completion

  • Resume review

    Improve your resume and LinkedIn with personalized feedback

  • Interview prep

    Practice your skills with interactive tools and mock interviews

  • Career support

    Plan your career move with Coursera's job search guide

¹Based on Coursera learner outcome survey responses, United States, 2021.

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

Professional Certificate - 6 course series

Exploratory Data Analysis for Machine Learning

Course 114 hours4.6 (1,683 ratings)

What you'll learn

Skills you'll gain

Category: Cluster Analysis
Category: Dimensionality Reduction
Category: Unsupervised Learning
Category: Principal Component Analysis (PCA)
Category: K Means Clustering

Supervised Machine Learning: Regression

Course 220 hours4.7 (526 ratings)

What you'll learn

Skills you'll gain

Category: Ensemble Learning
Category: Machine Learning (ML) Algorithms
Category: Supervised Learning
Category: Classification Algorithms
Category: Decision Tree

Supervised Machine Learning: Classification

Course 324 hours4.8 (322 ratings)

What you'll learn

Skills you'll gain

Category: Artificial Neural Network
Category: Data Analysis
Category: Python Programming
Category: Supervised Learning
Category: unsupervised machine learning

Unsupervised Machine Learning

Course 423 hours4.7 (240 ratings)

What you'll learn

Skills you'll gain

Category: Artificial Neural Network
Category: Reinforcement Learning
Category: Machine Learning
Category: Deep Learning
Category: keras

Deep Learning and Reinforcement Learning

Course 531 hours4.6 (191 ratings)

What you'll learn

Skills you'll gain

Category: Linear Regression
Category: Machine Learning (ML) Algorithms
Category: Ridge Regression
Category: Supervised Learning
Category: Regression Analysis

Machine Learning Capstone

Course 620 hours4.5 (70 ratings)

What you'll learn

  • Compare and contrast different machine learning algorithms by creating recommender systems in Python

  • Predict course ratings by training a neural network and constructing regression and classification models 

  • Create recommendation systems by applying your knowledge of KNN, PCA, and non-negative matrix collaborative filtering

  • Develop a final presentation and evaluate your peers’ projects

Skills you'll gain

Category: Artificial Intelligence (AI)
Category: Machine Learning
Category: Feature Engineering
Category: Statistical Hypothesis Testing
Category: Exploratory Data Analysis

Instructors

Kopal Garg
IBM
1 Course28,751 learners
Xintong Li
IBM
2 Courses38,018 learners
Artem Arutyunov
IBM
1 Course11,485 learners

Offered by

IBM

Get a head start on your degree

When you complete this Professional Certificate, you can earn college credit if you are admitted and enroll in one of the following online degree programs.¹

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."

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