Drive innovation with AI & Machine Learning

Create & design models & solutions across various industries using new no-code platforms without having to write a single line of code. Classify data, perform data analysis and create accurate data predictions.

Create AI Solutions Using

Unique No Code Approach

Create & design models & solutions across various industries using new no-code platforms without having to write a single line of code. Classify data, perform data analysis and create accurate data predictions.

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Learn To Unlock Power Of AI In Business From

Master industry valued skills

Designed by MIT Faculty, the curriculum covers key skills in AI, Data Science & Machine Learning.

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Data exploration & clustering

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Recommendation Systems

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Regression

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Decision Systems

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Forecasting Systems

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Neural Networks

DownloadGET CURRICULUM

 

Designed for Business Leaders like you

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Video lectures by MIT Faculty

Recorded by the very best, for you to learn at your own pace.

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Weekly online mentorship by experts

Get assistance on projects and reinforce concepts through weekly sessions.

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Dedicated program support

Get access to a dedicated program manager to help you with queries.

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Build a powerful portfolio

Work on 3+ projects & 15+ industry relevant case studies.

Learn Data Science, AI & ML From

World-renowned MIT faculty

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Munther
Dahleh

Program Faculty Director, MIT Institute for Data, Systems, and Society (IDSS)

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Stefanie
Jegelka

Associate Professor, Electrical Engineering Computer Science (EECS) at MIT

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Devavrat
Shah

Director, Statistics and Data Science Center (SDSC) at MIT

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John N.
Tsitsiklis

Clarence J. Lebel Professor, Dept. of Electrical Engineering & Computer Science (EECS) at MIT

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Caroline
Uhler

Henry L. & Grace Doherty Associate Professor, Institute for Data, Systems and Society (IDSS)

Our Alumni Experience

Mentored learning sessions, video content and explanation are good. Excellent, deep enough but not too deep for beginners. The pre-work course was and other modules document content were also very helpful as well as being very helpful to the students in the classroom.

The MIT No Code machine learning and artificial intelligence course with Great Learning is a well-paced, highly engaging and useful course. I highly recommend this course to anyone looking for a thought-provoking course that will give you the tools you need to bring a competitive edge into your workplace.

This is the most informative, practical and foundational machine learning course I've taken so far. All the lecturers did a very good job at condensing the material into small videos that has multiple small quizzes and conclusion. Overall, it's a wonderful learning experience.

Got immense support from my program manager, fantastic mentors, and professors. When I started the pre-work, it was a daunting challenge to manage my work alongside this course. By the time I went through the first module, I had an understanding of how to multi-task effectively.

The assessment really tested our knowledge on the subject and foundations along with doing a project, that helped us with hands-on implementation.The key learnings for me to understand how recommendation engines are built on e-commerce websites and how classification models can help in managing fraud for a payment firm.

I joined the program with an interest in the AI and ML field but no previous knowledge. The program gave me a complete overview and understanding of the field and methodologies. The reliance on projects either as case studies during weekly sessions or as individual assignments is a real plus

The learner management system made it all easy to navigate. The mentoring sessions were helpful and brought another perspective to the topic. I liked the curated articles, and the projects were reasonable as well.

 
 

Delivered In Collaboration With

MIT Professional Education is collaborating with online education provider Great Learning to offer No Code AI and Machine Learning: Building Data Science Solutions. This program leverages MIT's leadership in innovation, science, engineering, and technical disciplines developed over years of research, teaching, and practice. Great Learning collaborates with institutions to manage enrollments (including all payment services and invoicing), technology, and participant support. Accessibility


Arlene Sandy

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