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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The format and multiple methods of instruction are great! The instructors and program managers are completely amazing! Shout out to my program manager Meher! Totally exceeding all expectations. You can apply what you are learning immediately and use the tools to recapture hours, no days, no years of your own time by using machines to do what was considered impossible just one generation ago. Thank you for helping me embracing the future Greater Learning!!! 🙏🏼
Date of experience: April 22, 2025
Their learning platform is a great tool, easy to navigate and manage your learning journey. They have best mentors and trainers from industry who explain the concepts in a manner which is easy to understand. Overall a good experience with Great Learning.
Date of experience: April 21, 2025
I completed Great Learning’s Post Graduate Program in Artificial Intelligence and Machine Learning and found it highly valuable. My expectations were not only met but exceeded. The platform is intuitive and well-structured, offering current content that effectively balances theory and practice. Quizzes at the end of each topic reinforce learning, while the projects, grounded in real-world scenarios, are both challenging and relevant. The Statistics and Probability for Data Science module, for example, provided a strong foundation for data-driven decision-making. The instructors are experienced professionals who communicate complex concepts clearly. Special thanks to Anuka Sushma, the programme manager, whose prompt and attentive support ensured a seamless experience. This program significantly enhanced my AI and machine learning expertise, with practical applications I’ve already integrated into my work. I strongly recommend it to professionals aiming to advance in this field. This review reflects my personal experience, with no external incentives.
Date of experience: April 21, 2025
I’m taking this course right now and honestly, it’s been amazing. The professors don’t just throw formulas at you and expect you to apply them, they actually walk you through the why. The why context makes everything click way better. The Sunday tutor sessions are also very helpful. You can ask questions, and work through assignments live. The program managers are also super on top of things - they help you stay on track, sort out any technical issues, and make sure you’re supported throughout. And one more thing, the structure of the course actually builds you into a great data scientist. It’s not just about passing quizzes. You really learn how to think and reason through problems.
Date of experience: April 20, 2025
The program is designed in such a way that you don’t need extensive technical expertise to excel. I’ve completed three courses with GL, and one recent upgrade that’s worth mentioning is the improvement made to Olympus, the learning platform. The navigation has become significantly easier compared to before, making the learning experience much more user-friendly. The tutors are excellent — they bring a wealth of institutional knowledge and practical, real-world scenarios that helped us better understand how to approach and solve problems effectively. The payment process was also very convenient, and the program officer was exceptional. She handled student concerns with diligence, responsiveness, and fairness. The only challenge I personally faced — due to my location — was during the final phase of the program. Since Sunday is a working day for me, it was difficult to concentrate. However, this isn’t a major issue, as the current schedule works well for around 90% of the cohort. Still, it might be worth considering an alternative arrangement in the future to accommodate more diverse schedules. Overall, it has been a smooth and successful journey, and I would gladly recommend this program to anyone, anytime.
Date of experience: April 20, 2025
So far am impressed with Great learning programs that are helping me grow in skills sets needed for professional advancements. Keep it up!!! Communication is great, helping tools great, responsiveness great!!!
Date of experience: April 19, 2025
Their modules are way better for understanding concepts in-depth than studying for written exams
Date of experience: April 17, 2025
Mentor Sessions are engaging. Program Manager active followup and engagements are great. Videos are easy to learn. Projects challenge at the right level and tests our learning.
Date of experience: April 17, 2025
The class isn't easy, but the trainers/resources have been amazing. The class is small, and the group helps one another. Great experience.
Date of experience: April 17, 2025