The course is interesting
The course is interesting. Instructors are good. Program manager is very supportive. Overall experience is good.
Great Learning is exceptionally well-rated by customers. Customers particularly appreciate professional and quality, though some mention concerns about customer service and communication.
The course is interesting. Instructors are good. Program manager is very supportive. Overall experience is good.
I recently finished a 4-month course "Data Science – AI/ML No-Code Tools" from Great Learning (MIT), and it was even better than I expected. The course is designed for professionals, including those in leadership roles, and is accessible even to individuals without a coding background. It was well-structured and easy to follow. It included video lessons you can watch at your own pace, live sessions with mentors to clear doubts, and hands-on practice using tools like RapidMiner and KNIME. There were also lots of real-life examples to help apply what you learn. The content was great, everything ran smoothly, and the program coordinators were very supportive. I highly recommend it!
The course is well designed, challenging and definitely covers a great deal of content. Though quick paced, the projects give us real world problems and good experience solving them. I am enjoying the course, with a sense of accomplishment as I move forward with every module!
It covered all the fundamentals from data science to deep learning, followed up by a rich set of projects/tasks that puts yout knowledge to work.
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Attending MIT’s Data Science program was an incredible experience! The professors were highly knowledgeable, patient, and made complex topics engaging. The curriculum was comprehensive, and the journey was truly enriching. I highly recommend it—10/10. Thank you!
Date of experience: January 19, 2025
Almost everything is well ranging from communication and support services. Content is very helpful in reality. I invited a number of individuals but could not afford to pay.
Date of experience: January 19, 2025
US
The course is a great, condensed introduction to Machine Learning. There are great online resources, videos and explanatory material, tons of optional extra material. The course is a great blend of lectures by MIT faculty and then hands-on assignments like Jupyter notebooks that actually use the ML techniques. This course had two submission tracks, one for python coding and one that was pretty light in that requirement. I went for the python route even though I was beginning. I was able to learn that too with the resources which was great. The MIT lectures were a great review of the various ML techniques. First class. I really recommend this for those who want a deep introduction to ML.
Date of experience: January 19, 2025
It is well paced, there is help along the way, that is if the recorded sessions are not sufficient
Date of experience: January 18, 2025
US
Fantastic and highly challenging, just what I was hoping for. Intense program, well organized, relevant, hands-on and detailed content. A deep dive and practical approach to learning AI and ML which you can immediately implement on or even before completing the program. Incredible mentor in Reza and my other MIT professors. Absolutley fabulous support from Meher and the rest of the Greatlearning team, who are willing work with you given your unquie circumstances. Thank you so much for an overall amazing and rewarding experience.
Date of experience: January 18, 2025
I attended the NCAI course from MIT and was pleased with many interesting video lectures, learning a lot on analysing and modelling data science AI solutions with different tools. Program support was really putting much effort into supporting my journey for achieving my best. I leanrt lots of things and feel happy to having booked the course, even if it's lots of work and dedication needed to succeed.
Date of experience: January 18, 2025
I felt the design of program course and content and learning methodology is amazing which helped me to grabs with concepts and knowledge and to apply these in real world problems.
Date of experience: January 18, 2025
A lot of very useful information with hands on labs. Best way to quickly learn valuable tools.
Date of experience: January 17, 2025
I loved the academic and professional experience. Thank you for all.
Date of experience: January 16, 2025