Lead business innovation using no code AI tools
Learn from the Best
Earn a Certificate of Completion from MIT Professional Education

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Create prototypes, models & solutions using
No Code Tools
Harness Machine Learning, Generative AI, and advanced Agentic AI without coding expertise






Discover a Unique No Code Approach to
Master Industry-valued Skills
An industry-relevant curriculum designed by MIT faculty, with in-depth modules on Generative AI, Responsible AI, and Agentic AI.

Artificial Intelligence

Machine Learning

Deep Learning

Generative AI & Prompt Engineering

Agentic AI

Retrieval-Augmented Generation (RAG)

Data Visualization

Computer Vision

Recommendation Systems

Responsible AI
Hands-on Projects
Case Studies
Self-paced Modules
Designed for Working Professionals 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 an industry-ready portfolio
Work on 3+ projects to build practical AI capabilities.
Learn AI and Machine Learning from
World-renowned MIT faculty

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

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

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

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

Devavrat
Shah
Director, Statistics and Data Science Center (SDSC) at MIT
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
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
4.8
Trustpilot
Rated in education services

4.7
Course Report
Rated by worldwide learners

Become an AI Leader.
Drive data-driven decisions.
Become a data-driven decision maker without writing a single line of code.