Review summary

Great Learning is exceptionally well-rated by customers. Customers particularly appreciate professional and quality, though some mention concerns about customer service and communication.

Based on reviews, created with AI

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V
The course is interesting

The course is interesting. Instructors are good. Program manager is very supportive. Overall experience is good.

NE
Well Structured and Insightful learning experience

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

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!

MIT ADSP program review

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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Showing 271 - 280 of 996 reviews
NA
5 out of 5 stars

I’m glad I took the MIT Applied Data…

I’m glad I took the MIT Applied Data Science program offered by Great Learning. It was an intensive and enriching experience that provided a solid introduction to the world of data science. The course covered a wide range of topics and included numerous real-world case studies that helped me understand practical applications. The support from mentors throughout the program was instrumental in my learning journey. The classes delivered by MIT professors were truly eye-opening—they explained complex topics with patience and clarity. I highly recommend this program to anyone looking to start or strengthen their data science career.

Date of experience: May 15, 2025

AK
5 out of 5 stars

Great program with all the blocks you need to build your AI and ML foundation.

Awesome program with enough technical hands on learning as I was looking to undertake. The enriched platform and thoughtful organization of topics and online classes provided the required support during the 8 months long learning journey. The ability to collaborate and work with others in the program even though virtual gave adequate experience needed as a cohort to cross learn from each others experiences and inputs. The mentors are great and the learning that they bring from real world experiences are a bonus.

Date of experience: May 15, 2025

AK
5 out of 5 stars

I recently completed the AI for leaders…

I recently completed the AI for leaders program with Great Learning, and it was an excellent experience. The program was well structured, making it easy to balance work and study. The content was relevant and insightful, and the support from the team was outstanding throughout. Highly recommend for anyone looking to upskill in AI.

Date of experience: May 15, 2025

UO
5 out of 5 stars

Excellent course tutelage.

Excellent program management, video quality and mentorship sessions.

Date of experience: May 15, 2025

mr
5 out of 5 stars

Well structured program…

I took the MITx Pro Applied Data Science program facilitated by Great Learning. I had a great experience taking the course. The course materials were abundant and well structured. Live weekday lectures hosted by MIT professors covering theory and weekend lectures hosted by industry experts were the highlights of course. The live nature of the lectures(with flexibility to watch recordings) is what kept me motivated throughout the journey. The case studies and projects were very well structured. The program managers do a great job of running the whole thing like a well oiled machinery!

Date of experience: May 15, 2025

DY
5 out of 5 stars

MIT ADSP with Great Learning

I had a Master degree in IT with AI specialization in 2008, but the progress of AI development has been tremendous in the past few years. I have not been focusing in AI in my professional work. Due to combination of these reasons, I enrolled in this program to keep myself up-to-date with the latest algorithm and technology. Overall, the program is good and packed with contents. Combination between theoretical knowledge from MIT professors and hands-on Python coding with mentors provided good balance of theory and practice. Projects and Hackhaton provide opportunity to practice on concepts learned. I positively recommend the program to those who wants to learn some technical depths in AI application.

Date of experience: May 15, 2025

J
5 out of 5 stars

Exceptional Course and Staff

Great course academic supervisors and lecturers are exceptional .They kind , responsive and caring about your progress.Highly recommend anyone considering .

Date of experience: May 14, 2025

JT
5 out of 5 stars

Applied Data Science Program: Leveraging AI for Effective Decision-Making

I recently completed the "Applied Data Science Program: Leveraging AI for Effective Decision-Making" offered by MIT Professional Education in collaboration with Great Learning, and I can't recommend it highly enough. The program is meticulously designed to bridge the gap between theoretical knowledge and practical application. With a curriculum developed by world-renowned faculty from MIT, the course covers essential topics such as machine learning, data analysis, and the strategic implementation of AI in business decision-making. The highlight for me was the hands-on approach, which involved real-world projects and case studies that allowed me to apply what I learned directly to my work at RTX Corporation. The instructors were incredibly knowledgeable and supportive, ensuring that complex concepts were accessible and understandable. Additionally, the networking opportunities with peers and industry professionals were invaluable, fostering a collaborative learning environment. Overall, this program has significantly enhanced my data science skills and equipped me with the tools needed to leverage AI effectively in our projects. It has been a transformative experience that I believe will have a lasting impact on my career and our company's success.

Date of experience: May 14, 2025

md
5 out of 5 stars

A Journey of Learning, Support, and Success with GL

I am truly grateful for the opportunity to learn from Great Learning (GL) and deeply appreciate the unwavering support I received throughout the journey. The team was consistently available, flexible, and genuinely committed to fostering both learning and success. Their dedication to ensuring that anyone who puts in the required effort does not fail is something I deeply value. The program manager was outstanding, and the entire learning experience reflected GL’s commitment to excellence. The dynamic, well-structured environment they have created provides the essential training needed to launch a successful career in data science. I found the carefully curated courses especially impactful and enriching. Without a doubt, GL is addressing—and will continue to address—the gap between the current and future state of data science. Their thoughtful integration of the core pillars of public health informatics—people, process, and technology—demonstrates both vision and expertise. Thank you again for the opportunity to learn and grow with you!

Date of experience: May 14, 2025

GH
5 out of 5 stars

Took a PG diploma course from great…

Took a PG diploma course from great learning. The materials used for the course was good for novice students. Very friendly trainers. Program coordinator was very helpful to extend timelines in many situations when had trouble to meet deadlines for any specific reason.

Date of experience: May 14, 2025

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