In business, data is only worth as much as the insights it provides, and insights rely completely on your ability to analyze and understand. Traditional artificial intelligence (AI) models require large annotated data sets leaving significant amounts of data untapped. This leaves valuable opportunities for your organization unrealized.

In 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, you’ll tap into your organization’s data to create new value. Over six weeks, you’ll explore the technical and strategic aspects of unsupervised machine learning (ML) within your business context. By learning the approaches, capabilities, limitations, and applications of ML, you’ll be able to deploy AI solutions tailored to your organization’s goals, and leverage the insights of your previously unutilized data.

Over six weeks, you’ll explore the business opportunities created by leveraging previously uncurated and unutilized data to train machine learning models. You’ll investigate how to build accurate AI models using representations, and how generative models can unlock the potential of your data. By exploring the landscape of pre-trained models, you’ll learn to create a strategy that ensures interpretability and causal inference in the deployment of ML in your organization. Finally, you’ll create a roadmap to ensure the models you’re employing are used in a responsible and maintenance-friendly manner.

Through this program, you will learn how to:

• Leverage unutilized data: Redefine the potential of small or uncurated data using ML techniques.
• Create business value: Overcome business challenges and drive AI initiatives with representation learning and generative models.
• Apply your learnings: Understand the current landscape of pre-trained models and explore how these can be used to build different applications.

The recommended weekly time commitment for core content is 4-5 hours, taking into account the busy lifestyles of working professionals, with an additional 2-3 hours recommended for non-compulsory weekly extension activities, should you have the time. Each module is released weekly, allowing a flexible but structured approach to learning. You’ll be supported as you engage in individual activities and group discussions, ensuring you feel confident to submit your best work at each weekly deadline.

Learn more about the self-paced online experience.

Learn more about GetSmarter technical requirements.

The business value created by unsupervised ML makes the content of this program ideal for a range of professionals in decision-making positions. Managers and technology leads will learn how to uncover the potential of their uncurated data through planning new data acquisition protocols. IT and tech professionals who are searching for the most recent techniques and developments to build machine learning models will gain a deeper understanding of these niches. Anyone currently working in data science or data analytics will also improve their knowledge of computer vision technologies and their applications. 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

GetSmarter™, a brand of 2U, Inc., partners with the world's leading universities to select, design and deliver premium online short courses with a data-driven focus on learning gain.

Technology meets academic rigor in our people-mediated model which enables lifelong learners across the globe to obtain industry-relevant skills that are certified by the world’s most reputable academic institutions.