IBM Introduction to Machine Learning, Short Course | Part time online | Coursera | United States
2 months
Tuition fee
Apply date
Start date


This four-course IBM Introduction to Machine Learning Specialization offered by Coursera in partnership with IBM will help you gain the introductory skills to succeed in an in-demand career in machine learning and data science. 

Visit the Visit programme website for more information


Machine learning skills are becoming more and more essential in the modern job market. In 2019, Machine Learning Engineer was ranked as the #1 job in the United States, based on the incredible 344% growth of job openings in the field between 2015 to 2018, and the role’s average base salary of $146,085. 

After completing this program, you’ll be able to realize the potential of machine learning algorithms and artificial intelligence in different business scenarios. You’ll be able to identify when to use machine learning to explain certain behaviors and when to use it to predict future outcomes. You’ll also learn how to evaluate your machine learning models and to incorporate best practices. 

By the end of this IBM Introduction to Machine Learning Specialization offered by Coursera in partnership with IBM, you will have developed concrete machine learning skills to apply in your workplace or career search, as well as a portfolio of projects demonstrating your proficiency. In addition to receiving a certificate from Coursera, you'll also earn an IBM Badge to help you share your accomplishments with your network and potential employer.

You can also leverage the learning from the program to complete the remaining two courses of the six-course IBM Machine Learning Professional Certificate and power a new career in the field of machine learning. 

Applied Learning Project

In this program, you’ll complete hands-on projects designed to develop your analytical and machine learning skills. You’ll also produce a summary of your insights from each project using data analysis skills, in a similar way as you would in a professional setting, including producing a final presentation to communicate insights to fellow machine learning practitioners, stakeholders, C-suite executives, and chief data officers.

You are highly encouraged to compile your completed projects into an online portfolio that showcases the skills learned in this Specialization.

Programme Structure

Courses include:

  • Exploratory Data Analysis for Machine Learning
  • Supervised Learning: Regression
  • Supervised Learning: Classification
  • Unsupervised Learning

Key information


  • Part-time
    • 2 months
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.




  • Self-paced

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Intermediate Level

  • Some related experience required.

Tuition Fee

To always see correct tuition fees
  • International

    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 months.
  • National

    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.


Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project

Other interesting programmes for you

Our partners

IBM Introduction to Machine Learning


Go to your profile page to get personalised recommendations!