Machine learning, a branch of artificial intelligence, is the science of programming computers to improve their performance by learning from data. Dramatic progress has been made in the last decade, driving machine learning into the spotlight of conversations surrounding disruptive technology. This six-week online program from the MIT Sloan School of Management and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) aims to demystify machine learning for the business professional – offering you a firm, foundational understanding of the advantages, limitations, and scope of machine learning from a management perspective.
How will machine learning affect your business? How can your company capitalize on this dynamic technology?
This program views the technical elements of machine learning through the lens of business and management, and equips you with the relevant knowledge to discover opportunities to drive innovation and efficiency in your organization. Although you can expect to explore technical aspects of machine learning, the focus is on empowering you, as a business leader, to ask the right questions about whether machine learning applications will benefit a particular business problem, or make your organization more efficient.
Through a mix of research insights reinforced by case examples, you’ll have the opportunity to critically apply your learning. You’ll learn to identify the realistic opportunities of this transformative technology as you develop an implementation plan for machine learning in a business of your choice. Whether you work in a strategic, operational, or managerial function, you’ll be equipped with an understanding of how machine learning can impact your organization’s business objectives, as well as knowledge of the key aspects of related implementation strategies. Over the course of six weeks, you’ll learn how to successfully lead teams tasked with executing technical machine learning projects, and strategically leverage machine learning for a powerful competitive edge in business.
MIT Faculty will guide you to understand the current and future capabilities of this transformative technology, in order to effectively unlock its potential within business. You’ll also have the opportunity to design a roadmap for the successful integration of machine learning – tailored for your own organization. At the end of the course, you’ll walk away with a plan for immediate and practical business action.
We do not recommend this program if you have already completed the Navigating AI: Driving Business Impact and Developing Human Capability course, as there is overlap, unless you are seeking a refresher of the content.
Welcome to Your Online Campus
Introduction to Machine Learning
Implementing Machine Learning in a Business
Sensing the Physical World
Helping Machines to Learn to Use Language
Finding Patterns in Human Transactions
Machine Learning Challenges and Future
Upon successful completion of your course, you will earn a certificate of completion from the MIT Sloan School of Management. This course may also count toward
MIT Sloan Executive Certificate requirements
.
In this course you will learn to
Discover the opportunities, capabilities, and scope of this transformative technology
Gain a sound understanding of the strategic application of machine learning in business
Develop a complete implementation plan for using machine learning in a business of your choice
Analyze, implement, and monitor the use of machine learning in your own organization
"We should think about AI, machine learning, and robots as tools. These technologies are more intelligent than the screwdrivers and the hammers we have today, but ultimately they remain tools for us to be in control of. Machines can do some things better than we can, and we can do things better than machines, so by combining our respective skills we can do so much more."
– DANIELA RUS, Director of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
This course is for you if:
This online program is for business leaders, mid to senior managers, data specialists, consultants, and business professionals interested in exploring the strategic implications of integrating machine learning into an organization.
Whether you’re interested in upskilling or are seeking an understanding of transformative technologies in the business environment, this program will assist you in identifying business areas that could benefit from the strategic application of machine learning. If you’ve been tasked with managing a team or project with roots in machine learning, or you’re interested in using knowledge of technical innovation to find a competitive edge in the market, the skills you’ll develop will help you realize your potential.
This course is delivered in our Self-Paced Online format which enables you to participate at your own pace within weekly modules. This course runs over 6 weeks with an estimated 6-8 hours per week of study time
Earn a certificate of course completion from the MIT Sloan School of Management
You will learn through a variety of formats including interactive videos, practice quizzes, presentations, assignments, and discussion forums
You will have access to a Success Adviser who will help you manage your time, and support you with any administrative or technical queries you might have
"A useful course for those seeking a broader understanding of the AI toolset and how it can be applied to business problems through a structured framework. I would especially recommend taking it after more foundational Sloan programs such as AI Implications and the excellent AI Adoption, as it leans further into technical concepts (while not being technical per se), helping business leaders understand the range of available approaches and trade-offs."
Matthew B
"Perfect course, but the real value is not in the ML part itself. Its in how they frame machine learning as a decision-making tool, not a standalone technology. Thats the key shift. Most discussions around AI are still very technical, while in reality the problem is always in processes, data quality, and how decisions are made. The program is quite practical in that sense. It makes it clear that without integration into existing workflows, governance, and people, ML simply doesnt work, no matter how good the model is. For industrial environments this is especially relevant. Data is messy, failures are rare, and decisions are not purely data-driven. The course addresses these constraints realistically, not in an abstract way. Overall, useful if you want to move from we should do AI to actually understanding how to implement it in a business context."
Denis G
"Great course covering all ML key concepts and including different type of use cases that can unlock value in different sectors."
Paulo S
"The course slid ideal for professional approaching the subject; its view is global enough for you to realise the context in which you move"
Filippo B
"The course was insightful and on point"
Carlos B
"A very interesting and exciting course from which I learned a lot. The structure was clear, and the examples helped to understand how machine learning can be applied in real business situations. It made me curious to explore the topic even further. The feedback on assignments was always objective and professional. Overall, I am very satisfied and would definitely take another MIT course in the future."
Martin K
"The tech is changing and getting closer to General."
DOUG D
"I wanted to take an AI related course and I wanted to be able to say I took a course from MIT. What I didn't expect, was the course to be even BETTER than expected! What a joy to take a course that is making better now and opening up options for the future!"
WILLIAM P
"I wanted a good introduction into the field of machine learning with a lot of practical examples from a business point of view ... and that's what they delivered. A great course that I highly recommend!"
Michael H
"While this was my first course of this type from MIT, I am incredibly impressed by how carefully this course was designed and constructed. It was a great start and have encouraged me even more to pursue the full certificate, I have already registered for Artificial Intelligence: Implications for Business Strategy."
Cuneyt T
Same topic, Similar duration - Broader exploration across all institutes
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Prashansa Uttam
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Executive Education Office
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