Great Learning

The program was really great. The material was very good and had nice information that helped me in my career. The course knowledge allowed me to achieve certified AWS solution architect associate. 

I loved the idea of mentored session that assist in understanding the material and helped me in cases related to my work.

I really recommend this program for solution architects who are looking for entering the cloud world. Read less

I have learned a great deal in the course. The videos in the Great Learning website are very helpful, especially the quiz following the videos.  The concept session and hands-on session during the weekend provide me a great opportunity to ask questions. These questions are addressed very and further material is provided for me to dig deeper into it. The personal (Sumit) from the Great Leaning follows progress all the way and at each time step.  The email reminders are very helpful too. These python notebook files and datasets  from the course are very useful and they are easily adapted to analyze my own problem.  In fact I have used the notebook files from the  regression part to build models to predict renewable energy power generation from weather forecasting.  Overall, it a great learning experience and will be helpful for future career.  Thanks for  Sumit,  Reza and Vanessa for your help.  Read less

I sincerely, can't say enough positive things about the MIT-DSML course. It far exceeded all my expectations. The curriculum from top MIT faculty; the way the content is structured; the mentored sessions with experienced industry practitioners and lastly the wonderful program management and support staff - ensures that you complete the program with not only an understanding on the fundamentals/ideas behind data science but with also the practical experience and know-how. I'd highly recommend this program to my peers and friends. Read less

I have successfully completed the Data Science and Machine Learning: Making Data - Driven Decisions with MIT and Great Learning. It was an amazing journey of learning. Though hectic, it is worth taking the course to get to know significant concepts of data science and machine learning and how to apply to real world problems. Mentoring sessions are highly beneficial giving overall idea of different topics and clear guidelines. Course materials are valuable and can be referred throughout. Course coordinators have a professional approach. Overall I am happy and felt a great sense of accomplishment in doing this course. Read less

As a professional with experience in Maintenance, Project Management and Supply Chain, this program has helped me to visualize the practical usage for these new skills I've just started developing. The simplicity of the theory-practice way of working and the fact that you learn at your own pace makes it easier. Program managers, professors and staff are always attentive to your needs or support. Overall I can tell I'm satisfied with the program and visualize this as a way of taking better business and operational decisions with the proper tools to do it. Read less

I enrolled in the online Data Science & Machine Learning - Making Data Driven Decisions Course of MIT DSML, conducted in partnership with Great Learning this March 2022. I am an IT professional with nearly 24years in FinTech domain, having worked in India, UK and in the US currently. This course is truly one of "The Best" I attended, and I definitely recommend it to DS & ML "newbies" like myself as well as to those who wish to gain a more in-depth knowledge and hands-on experience.

Initially I was truly apprehensive considering the Stats portion of the course. But the Pre-Work in both - Python and Statistics, really helped. Of course, the numerous video lectures, each followed by a tiny Quiz testing the understanding, along with the weekly Saturday "Theory lectures" and Sunday "Hands-on" sessions conducted by experienced teaching staff, were excellent and helped to gain practical skill required in today's IT industry across various domains. Apart from this, all queries &/ doubts raised by the cohort, were immediately addressed by the staff as also any issue faced while installing the software &/ attempting the Projects. The Projects in the course not only covered the core of the course, but also extended to mimic a real-life scenario.

To summarize, I would really like to thank the Great Learning Team for the course delivery by excellent experienced teaching staff and for handling well all the related aspects of an easy enrollment & rendering of quick help to the students via the message board.  Far exceeded my expectations; a "Definite Recommend" . Read less

Future Leaders Programme has helped me see data in more effective way and introduced me to the softer aspects of effective  decision  making. It has helped me to better understand my personal style of leadership and provided an road-map to steer various discussions. It provided a great platform for learning and networking. Read less

I'm a software engineer with more than 30 years of extensive experience coding software for many industries, platforms, environments, now moving to the data science ML, AI side to extend my knowledge, I'm happy to be in this training because I learned a lot and widely exceded my expectations, the instructors are very good, very clear and professionals, thanks for all. Read less

When I began I was skeptical on how the program will be structured and how can I manage it with full time work as well as personal responsibilities. Also, re-engaging into an intensive acdemia after such a long gap seemed daunting. But right from enrolling, the GL team clarified each of my queries with patience. Once the course started, the first 6 - 8 weeks were daunting but again support of GL Program Management team was paramount. The lecturers are very experienced, the lectures are structured and delivered very well to clear the basic concepts for a beginner as well. I have become a fan of Dr. Nirmallya Mukherjee and his way of teaching :) The projects are spaced well and support is great in case you get stuck somewhere. GL PG course is not designed to make you an expert but it definitely will get you started on a strong footing for your cloud journey !
Yes, Recommended definitely :) Read less

This review is for the Post Graduate Program in Data Science and Business Analytics offered by Great Learning in collaboration with The University of Texas McCombs in Austin.


I love learning and getting more knowledge to always be at top of technology, I would say that I´m a Datanout and Tech addict!

And wow! The Post Graduate Program in Data Science and Business Analytics, has definitely been one of the most exciting and well-prepared course I have ever taken, from the videos, lectures, material and live classes, just from top to bottom it has really helped me to understand data in a very different way and I love it!!



I truly appreciate the tons of support from the Program Manager (V.), she has been wonderful in helping me on many occasions and best of all, she has a truly human sense of what exactly we need now at days.



I also would like to thank the professors who really spent lots of hours putting this great course together. It was a great journey and I still want to go for more!



Thank you!!!

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Very rigorous curriculum with applicable case studies and practical programming assignments that are applicable to real world business scenarios and data science projects. The program mentored tutoring sessions were valuable and the course project manager was highly accessible for questions or concerns. Read less

Recently, I completed Post Graduate Program in Artificial Intelligence & Machine Learning (PGP-AIML) offered by Great Learning in collaboration with McCombs School of Business, The University of Texas at Austin. 

I have spent considerable time in the IT industry covering many areas including development, operations, Data Ops, CyberSecurity, cloud engineering, project/program/portfolio management and leading teams. One area that was new to me, was AI/ML. I was expecting it to be a breeze, but this program reinforced the saying "more you learn, you realize how little you know". It was a rollercoaster, started off easy, but went through a whirlwind of different topics such as supervised learning (Regression, Classification), Unsupervised learning,  Ensemble techniques, Feature Selection, Model Selection and Model tuning, Neural Network, Computer Vision and Natural language Processing (NLP).
It was lot more advanced, more easier to consume, and much more democratized than the esoteric neural network introductions that I took in college, years ago. 

Greats:
1) the instruction videos were bite sized..easy to consume, understand.
2) the professors/instructors were amazing..they know the stuff and they explain in such a way that its easy to understand. I still had to watch many videos multiple times to understand brand new concepts.
3) MLS (Mentored learning sessions) were the most beneficial. They were interactive, conversational, and gave me an opportunity to get into details with the mentor on a specific topic. 
4) Satish babu was amazing, passionate and knowledgeable. He really was into it, and if you ever get into one of his classes you are lucky.
5) Asghar Mohammadi was great as well, logical, and taught at a pace that was great for me.
6) Awesome program manager Sakshi Sharma, who was willing to answer any questions and help out.
7) There are options for mentoring sessions, which is good for beginners in this field. 

Looking back, it was a roller coaster indeed. One thing I would advise is get your time planned and scheduled throughly, and follow through, otherwise you can be under pressure from project deadlines, and they dont extend it no matter what.  I enjoyed the program, even though I hated the deadlines :-). I would recommend this for anyone who is serious about a career in Data Science, AI/ML.  Read less

Simple put, the most profound learning journey I have been a part of. It has transformed the way I think about, view, and solve complex cases. Although, I had to take a break during my path to completion. It was the support and encouragement from Sakshi and the Great Learning community to to get back on track to completion with a new cohort. This program has given me a new perspective on what the education process can be and I will recommend it to everyone when speaking about the critical role Great Learning and associated Universities (UT-Austin) are doing in enlightening current and future believers the world can be a wonderful place.

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This was a collaborative course from the folks at Great Learning and UT Austin McComb's School of Business. The course covers Artificial Intelligence and Machine Learning and specifically how Artificial Intelligence and Machine Learning are applied in Business. Some of the topics covered included predictive modeling, supervised and unsupervised learning, computer vision, natural language processing, ensemble techniques, neural networks, and deep learning.

For me, this course was VERY difficult. Ten years after graduate school, I assumed it would be an easy refresher course; oh how I was wrong! This is a demanding course, and I didn't think I was going to make it through, but I did. The folks at Great Learning went above and beyond  their teaching requirements to see that I was given every possible opportunity to maximize my learning and get all that I could out of the course.

We attended class weekly, where questions were asked and our instructor kept on track. The instructor (Ms. Bridget Huang-Gregor) was great. Eminating ample amounts of industry knowledge, Ms.Huang-Gregor was easy to understand, her speech was clear, and she made sure the entire class understood the concept at hand before continuing on to the next topic. I worked along side other classmates, as well as had the opportunity to participate in a few hackathons. A crash-course in Python is included. There is a lot of material to learn in a short amount of time, you will have to put in adequate project time. 

Get ready to experience some mind-bending algorithms. and take your learning to the next level with help from this course. Read less

I did the “Post Graduate Program in Artificial Intelligence & Machine Learning” offered by Great Learning in collaboration with McCombs School of Business, The University of Texas at Austin. This was an incredible experience, I started as novice in Python and ended up with solid confidence in building various models in python. The program provided rapid introduction to Python pre-work, and AIML and then in a very structured manner covered many topics that included Supervised Learning (Regression, Classification), Unsupervised learning, Model Selection and Model tuning, Neural Network, Computer Vision, Ensemble techniques, Feature Selection, Natural language Processing (NLP), and Model deployment.                     

                       The faculty is of top notch comparable to the best colleges gave solid orientation  in statistics and practical approach to modeling. The program is composed of video lectures, presentation notes, ppts, many quizzes, and hands on homework and finally each unit has a project as a deliverable. Each week there is a 2-hour mentor session with the group and gave feeling as good as a campus classroom. Our mentor Ms. Bridget Huang-Gregor was amazing in sharing her knowledge and industry experience throughout the program. Great Learning collaborate with “Program Manager” who is the Dumbledore phoenix she is one point contact for the course cutting all the red tap she can address all your needs. I have to name Ms. Sakshi Sharma (PM), who was always prompt and extremely helpful throughout the program. When I was fluttering with the course, she put me in the correct course of direct, which helped me to actually finish this source by participating in each and every assignments and important milestones. I am all excited to explore new horizons. 

True to its name “Great-Learning” continues to provide additional resources for learning - such as free “UT Austin Seminar” to its learners even after the program is over. Congratulations to Great Learning for offering as a live and vibratent course which will defeinately make a difference in every person who completed this course. Chrees to “Great-Learning”

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This is a great program, rarely do I write reviews. This program has helped me to learn so much and I am thoroughly impressed with the content, faculty, system and support - all facets of the program are 5 stars!

Faculty: World class in terms of explaining concepts and material. They are very patient to explain advanced concepts to people who are not familiar with the subject and ensure that we understand. Ms. Kamakshi and Mr.Sathish are great teachers.

Material: The lesson videos and the lectures go great together - I must commend the video material they are very useful to replay and follow the material. Great industry projects on healthcare, finance, retail, real estate, market analysis - these projects ensure that they equip you well no matter your background.

Support Staff: This is a great team and they are a great support to help explain any concepts, help along on the project to trouble shoot if there is any need. Very responsive, professional and supportive. Every support staff that I have interacted were very professional and would like to thank Ms.Sakshi for her infinite patience and support in lesson followups and project questions.

A well thought out curriculum, system and execution. If you are passionate about these subjects - this cannot get any better for working class professionals.

I am extremely thankful to the teachers and especially the support staff! Awesome is the word that summarizes my experiences. Read less

I recently finished the “Post Graduate Program in Artificial Intelligence & Machine Learning” offered by Great Learning in collaboration with McCombs School of Business, The University of Texas at Austin. This was an incredible experience, as I started out with zero  background in Python and ended up with solid confidence in building various models in python. The program provided rapid introduction to Python pre-work, and AIML and then in a very structured manner covered many topics that included Supervised Learning (Regression, Classification), Unsupervised learning,  Ensemble techniques, Feature Selection, Model Selection and Model tuning, Neural Network, Computer Vision, Natural language Processing (NLP), Model deployment and Recommendation systems.. The faculty is amazing in providing solid grounding in statistics and practical approach to modeling. The program is composed of video lectures, presentation and notes, many quizzes and hands on homework and finally each unit has a project as a deliverable. Every week there is a 2-hour mentor session with a group of approximately 15 other learners. The mentor sessions were extremely helpful, and our mentor Ms. Bridget Huang-Gregor was amazing in sharing her knowledge and industry experience throughout the program. Great Learning also provided a “Program Manager” who tends to individual and group needs. Thanks to my program manager Ms. Sakshi Sharma, who was always prompt and extremely helpful throughout the program. With my domain expertise in pharma and newly acquired skills in AIML, I am all excited to explore new horizons. True to its name “Great-Learning” continues to provide additional resources for learning - such as free “UT Austin Seminar” to its learners even after the program is over. Congratulations to Great Learning for creating such a stimulating program! Read less