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

30,495 already enrolled

Professional Certificate - 6 course series

Earn a career credential that demonstrates your expertise

4.6

(1,534 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

(1,534 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

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Advance your career with in-demand skills

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

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Earn a career certificate

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

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Professional Certificate - 6 course series

Exploratory Data Analysis for Machine Learning

Course 114 hours4.6 (1,599 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 (509 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 (304 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 (228 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 (177 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 618 hours4.5 (51 ratings)

What you'll learn

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

  • Develop a final project using machine learning methods and evaluate your peers’ projects

  • 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

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 Course26,778 learners
Xintong Li
IBM
2 Courses35,121 learners
Artem Arutyunov
IBM
1 Course9,943 learners

Offered by

IBM

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