Great Learning

I highly recommend Great Learning's "Data Science and Machine Learning: Making Data-Driven Decisions" course for professionals as well as someone new trying to learn about these concepts.
Great Learning has designed this course meticulously to cover essential topics, including data analysis, visualization, and machine learning algorithms. 
The instructors did a great job in breaking down complex concepts into easy to understand materials that even those new to the field can grasp advanced topics with ease.
Additionally, my personal adviser, Jasper, was  always available and proactive. His personalized attention and commitment made a significant difference in my learning.  Read less

It was very rewarding coming to the end of the course. A new perspective on machine learning and AI has open to me. Even though I already had a bit of experience on those fields, i certainly did learn a lot of new things. I appreciate the way the course driven. It takes into account both colleagues with near to zero experience, and colleagues with a bit of knowledge on that area. I also value that there is a lot of content that i could take one i finished my experience. I would specially recommend this course to those who have little experience with machine learning and data science, and want to get deep into this topics. Read less

This course is a game-changer! It offers a perfect blend of theory and practical exercises, catering to all levels of expertise. The hands-on approach with real-world datasets equips you with invaluable skills for making data-driven decisions. The instructors' guidance and support, coupled with a user-friendly platform, make it a must-attend for anyone interested in data science. Highly recommended! Read less

Machine Learning: Making Data-Driven Decisions program delivered by Great Learning based on MIT material. The program is very comprehensive and covers a broad spectrum of topics, which provides a great foundation of knowledge and tools for Data Science.The training offers case studies and projects that are great practical tools to help with the learning experience. The Great Learning team does an outstanding job at keeping up with engagement and communication to help keep up with the course pace. Read less

The lecturers include Dr. Abhinanda Sarkar who has previously taught at MIT and another with extensive experience in the field of data analysis. Both of them deliver excellent lectures.The course design is very logical. The course is divided into six modules, each lasting two weeks. Additionally, some industry professionals with work experience also give lectures every week, so the course is very high-quality. There are a large number of practice problems and videos, and the explanations for assignments are very detailed. I think the lectures are excellent. I strongly recommend this course to anyone aspiring to become a data scientist. You will gain tremendous benefits and make significant progress, which will greatly assist in your career advancement. Read less

The Data Science and Machine Learning Course was very informative. The curriculum is crafted to cover both the fundamentals and more advanced concepts. Anybody can learn a lot from this course regardless of their current knowledge and ability. The lectures were thoughtfully designed. They were also recorded so you can watch them back at a later time if needed. Additionally, the course platform was user-friendly and intuitive, ensuring a seamless learning experience.
What truly sets this course apart is the support system. My program manager, Jasper, was extremely helpful. He was always responsive and went the extra mile to make sure I was on track to complete the course. I can’t thank him enough for his guidance.
A great aspect about the course is you have the materials for years after completion. I’m excited to continue to learn from the plethora of material even after the course has ended. They also offer career mentoring and career prep from experts in the industry for several years. 
Overall, I highly recommend this course to anyone looking to embark on a rewarding journey into data science and machine learning. Read less

Very well put together curriculum, which builds great foundation on AI and machine learning. Excellent instructors and awesome program managers.
I especially want give a shout out to program managers who help me during my medical leave to cope up with curriculum and adjust schedule according to my need. Read less

I completed the No Code AI/ML program that Great Learning offers in conjunction with MIT and I loved it. I’m a mid career professional and this program really helped me understand the concepts of AI/ML in a practical way. The instructors were top notch and the mentors were incredibly helpful. The support staff was also very helpful. My instructor was Akash and admin was Juhi. Both wonderful to work with. Thank you! God bless. Read less

I'm super happy with the course and the entire organization and delivery. 
The content was well structured and provides solid fundamental knowledge and goes all the way to in-depth knowhow how to use tools, differences in core algorithms, statistics and much more. 

I mostly liked learning about the underlying principles, from the math, statistics, base algorithms and all the way to implementation of modern AI. 
The tools covered are great. RapidMiner is a very powerful tool every data scientist should have tried. Of course KNIME and Dataiku are great, but offer a little bit less features, but sometimes do the job better/easier. 

If you want to learn how things work under the hood with AI, without necessarily being very technical, this one is right for you. 
For the devs out there, who like playing around with code, it will open more opportunities for that as well. 

The Great Learning platform itself is great, intuitive and excellent to work with. The team behind it is very responsive, not that I needed any help, but they are always there to help. Read less

Since before the launch of the program, we were provided with prerequisite courses that allowed me, someone who has never interacted with any coding language, to understand the basics of Python coding language within a couple of days. Since that time, the course manager I was assigned to, Ritin Jhamb has been actively supportive (I was starting to think we were provided with 24/7 support since he has been responding to all queries at almost any given time.). 
The program provides a variety of different teaching techniques (pre-recorded video lectures, live lectures, live mentored learning sessions, exercises, quizzes, and hands-on projects). The material is delivered in a way that even I, who never had any interactions with coding previously, could grasp all the ideas and concepts. 
The support system is amazing, very responsive and provides all the necessary help, whether it was code related, technical issues, understanding the course material. Whatever it is you need, they will provide.

The only point I would highlight for future students to be aware of, is the pace of the course. Since it is fast paced, I would recommend checking your calendar to see if there will be any time conflicts. I was excited and did not stop to consider that the cohort I joined would be during Ramadan, and the 2 Eids. If you lag behind in course materials, it would be challenging to get back on track. Read less

Overall, the course experience was very pleasant. The course covered a lot of topics from basic python programming to advanced machine learning. As a result, it had lot of content and was fast paced. But weekly mentor sessions, various case studies and project work, were very useful in learning and understanding these concepts. 
Special Thanks to Jasper, our program manager, he was in touch with all of us throughout the course and was providing help and guidance wherever it was needed. I would highly recommend this course to anyone who is trying to put step forward in Data Science and machine learning. Read less

I really enjoyed going through this program. It’s structured in such a way that a learner can grasp concepts, apply them and re-iterate learnings through practical work. From the study materials, to the hand on master class, quizzes and projects. At the end of a module, one truly had an in depth understanding.  Read less

The course provides a thorough introduction to AI and machine learning without requiring any coding skills, making it accessible to beginner and The hands-on projects and real-world examples help solidify concepts and demonstrate the practical applications of AI and machine learning. Clear and effective communication from the project manager enables me to achieve project goals. Read less

Building Machine learning solutions with no-code AI/ML tools. The course takes you from basic concepts to abstract ML concepts and solutions. The course is well structured with virtual sessions from MIT faculty, and reinforced with mentored learning sessions, case studies, and learning materials. This course is very well aligned with my professional growth. I strongly recommend the course and learning experience provided by Great Learning and MIT professional education. Read less

this is a wonderfully curated course which is specifically designed for industry professionals and other aspirants who would like to explore and learn the key concepts of AI/ML using the No code/Low code platform. The mentors are really dedicated to helping the students accordingly, the program advisor Juhi demonstrated exceptional organizational skills for smoother learning and fostering a supporting learning environment. Read less

I am halfway through my No Code AI and Machine Learning Course. The exceptional learning team, especially my project manager, has been incredibly supportive in accommodating my unique situation. As someone who frequently travels for work, I appreciate how the team has been flexible in matching me with cohorts that align with changing time zones. My project manager consistently follows up and encourages me to pursue this learning endeavor. I highly recommend this program and eagerly look forward to completing this course and exploring other courses in the future. Read less

As a seasoned data analytics and IT leader, I've been through numerous professional development courses, but few have compared to the depth and quality of this program.

The Applied Data Science Program of MIT Professional Education, in collaboration with Great Learning, truly exceeded my expectations. It was advanced, applied, and comprehensive, covering a wide array of topics from supervised and unsupervised learning to time-series analysis, neural networks, recommendation engines, regression, and computer vision. The curriculum, developed and taught by MIT faculty, was not just theoretical but deeply practical, allowing us to apply what we learned to real-world scenarios immediately.

One aspect that truly set this program apart was the abundance of live sessions and interactive elements. These sessions provided invaluable opportunities for hands-on learning, where we could work on industry-relevant projects guided by data science and machine learning experts from around the globe. The mentorship provided by industry professionals was instrumental in challenging our understanding and providing novel, real-world insights.
The challenges presented throughout the program were invigorating, pushing us to expand our skills and tackle complex problems head-on. Moreover, the pre-work component was invaluable in ensuring that all participants were on the same page and ready to dive into the advanced topics covered during the live sessions. The blend of video content, practice quizzes, and interactive assignments provided a solid foundation upon which to build throughout the program.

In conclusion, the skills and knowledge gained through the Applied Data Science Program will empower the participants to make meaningful contributions in the rapidly evolving field of data analytics and AI. I wholeheartedly recommend Great Learning to anyone seeking to advance their expertise in data science and machine learning. Read less

A really good learning experience overall. The course has recorded video modules and Live instructor led sessions which are also recorded for later referral. It teaches both theoretical and complex mathematical concepts about AI/ML in just sufficient details to enable students to have a good understanding of the subject. Experience and knowledge is enhanced with real world data examples. Hands-on with multiple tools (Rapidminer, Dataiku... ) gives confidence to deal with real data from real world situations. 
Program Learning support is absolutely excellent as well, with program managers available (via whatsapp... ). 
Overall, highly recommend this course as a great course that goes beyond basics into significant details and depth.  Read less