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MITx: Unsupervised Machine Learning: Unlocking the Potential of Data

Redefine the potential of your unused data through unsupervised machine learning techniques.

Redefine the potential of your unused data through unsupervised machine learning techniques.

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This course is offered by , an edX partner
6 weeks
6–8 hours per week
Starts Mar 20, 2024
Enroll by Mar 26, 2024
Instructor-paced
Instructor-led on a course schedule
6 weeks
6–8 hours per week
Starts Mar 20, 2024
Enroll by Mar 26, 2024
Instructor-paced
Instructor-led on a course schedule

About this Course

Duration : 6 weeks (excluding orientation)

Training artificial intelligence (AI) models has traditionally required large sets of annotated data. As a result, small, uncurated data — which carries untapped value — is often left untouched. By leveraging cutting-edge developments in machine learning (ML), you can unlock the latent potential of data from unused sources to create competitive opportunities for your business.

The Unsupervised Machine Learning: Unlocking the Potential of Data online short course from the MIT Sloan School of Management and the MIT Schwarzman College of Computing explores the technical and strategic considerations of unsupervised learning approaches. In just six weeks, you’ll study these approaches, their capabilities, use cases, limitations, and applications. You’ll learn to see the potential of your data — no matter its quantity or quality — and deploy AI solutions tailored to your unique data, problem, and business.

This program is designed to help business decision makers leverage opportunities created by unsupervised ML. Understanding how to leverage uncurated data, managers and technology leads will be able to plan new data acquisition protocols. IT and tech professionals looking for up-to-date developments in unsupervised learning will benefit from this program material, as will data scientists and analysts looking to strengthen their knowledge of the application of computer vision technologies.

The ability to code is not a prerequisite for this program. However, this program contains complex concepts that require an existing understanding and above-average knowledge of machine learning.

Course curriculum

Skip Course curriculum

Discover the capabilities of unsupervised ML as you work through the weekly modules of this online short course.

Orientation module: Welcome to your Online Campus

Module 1: The potential of data

Module 2: Learning and leveraging representations

Module 3: Generative models

Module 4: AI building blocks

Module 5: Adapting AI tools

Module 6: Challenges and the future

About the certificate

Learn to leverage your data to build AI systems and earn an official digital certificate of completion from the MIT Sloan School of Management.

This program also counts toward an MIT Sloan Executive Certificate, which you can earn upon completion of four programs where at least three of the four come from your chosen certificate track and at least one is completed in person. Find full details here.

Your certificate will be issued in your legal name and sent to you digitally upon successful completion of the program, as per the stipulated requirements.

Some facts about the subject

70%

The number of organizations that will shift focus from big to small and wide data by 2025.

Gartner (May, 2021).

56%

The percentage of organizations already adopting AI in a minimum of one function.

McKinsey (Dec, 2021).

Why choose GetSmarter?

GetSmarter, an edX partner, delivers career-relevant, fully supported, and expert-led online courses from the world's leading universities and institutions. As an online learning expert with over 15 years' experience, GetSmarter leverages long-standing expertise in market research, data analysis, and business insights to ensure that you gain the skills critical to career growth.