Learn from MIT faculty
Build AI models with unique no code approach
Create Business Impact with AI backed decisions
Earn a certificate of completion from MIT Professional Education
Application Closes : 11th Apr 2024
No Code AI and Machine Learning: Building Data Science Solutions
12 Weeks • Online • 8 MIT CEUs
No Code AI and Machine Learning: Building Data Science Solutions
12 Weeks • Online • 8 MIT CEUs
Application Closes : 11th Apr 2024
Unlock Power Of AI In Business
Learn from the best
Earn a Certificate of Completion from MIT Professional Education
Note: The image is for illustrative purposes only. The actual certificate may be subject to change at the discretion of MIT Professional Education.
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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.
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.
Designed for Business Leaders like you
Video lectures by MIT Faculty
Recorded by the very best, for you to learn at your own pace.
Weekly online mentorship by experts
Get assistance on projects and reinforce concepts through weekly sessions.
Dedicated program support
Get access to a dedicated program manager to help you with queries.
Build a powerful portfolio
Work on 3+ projects & 15+ industry relevant case studies.
Learn Data Science, AI & ML From
World-renowned MIT faculty
Munther
Dahleh
Program Faculty Director, MIT Institute for Data, Systems, and Society (IDSS)
Stefanie
Jegelka
Associate Professor, Electrical Engineering Computer Science (EECS) at MIT
Devavrat
Shah
Director, Statistics and Data Science Center (SDSC) at MIT
John N.
Tsitsiklis
Clarence J. Lebel Professor, Dept. of Electrical Engineering & Computer Science (EECS) at MIT
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.
Christian Ntsiba Gassuet
Data Engineer at National Grid
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.
Zai Ortiz
Technical Writer at Wizeline
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.
Vincent Li
Product Engineer at Qualcomm
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.
Sylvia Jayakaran
Senior Manager - Artificial Intelligence Operations (AIOps) at Servus Credit Union
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.
Sasikanth Nagalla
Payments Risk Data Science at Stripe
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
Rubbens Parchet
Program Manager Sustainability at Philip Morris International
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.
Linda Drabova
Business Advisor at Metaorigin Labs
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