Great Learning

Overall Score:   9/10
Course Format: Recorded lectures by UT Austin McCombs instructors and others.  Weekly, live mentored sessions with a dedicated mentor, including about a dozen students.
Topics:  Good overview of AIML approaches.  Early topics focus on Exploratory Data Analysis (EDA), simple classification and regression methods. Later topics progress into tuning hyperparameters for ensemble classifiers, Convolutional Neural Networks (CNNs), and Natural Language Processing (NLP).
Projects:  About one project per month, whose due date is after two weeks of recorded lectures, two graded quizzes, and two mentored-learning sessions.  Projects are good at reinforcing the learning material, and require at least several hours of effort.  Fortunately, there are coding examples posted as part of each topic's learning material that serve as guidelines.
Tools:  Projects must be completed in Python (e.g., Pandas, Seaborn, NumPy, Scikit-Learn, TensorFlow Keras, NLTK).  Note: Some code examples are out-of-date (e.g., they use deprecated library routines).
Mentor: My cohort mentor was Subhodeep Dey, a working professional with a gift for teaching.  His mentoring sessions were filled with real-world insights, during which he sketched clear outlines of AIML topics using good visuals and minimal math.  He is patient, waiting for responses to relevant questions that he asks during the sessions.
Program Managers:  Sakshi and Pragya were our cohort's main points of contact for resolving issues, sending out gentle reminders about upcoming mentoring sessions, etc.  They were very professional and responsive.
Overall Assessment:  This online course is well worth the investment if you are looking to familiarize yourself with a broad overview of AIML using Python.  Keyword here is "broad", because if you wish to go "deep" you'll need to research and practice using slightly newer Python libraries and methods.  Fortunately, the project datasets allow one to do so and compare results to methods learned during class. Read less

The course was well structured . Excellent approach in starting from 
teaching fundamentals of statistics and gradually getting into core areas. I like 
the weekly Quizzes which keeps the learning continuous and interesting . The 
projects are well defined and aligns with real world use cases .Overall it was 
a wonderful experience. Great mentors and well organized program coordinators. Read less

The PG program in AI/ML by UT Austin was recommended to me, when I was looking to get some exposure into Data Science. My cohort started from Nov 2021 and I'm soon going to graduate in Aug 2022. This is my first experience with Great Learning and overall it has been a great one! This program allowed me to gain hands-on experience of AI/ML through weekly assessments, mentored sessions & projects. I was fortunate to have worked with a patient and knowledgable mentor. Great Learning has structured this program to adopt to the learner's schedule. They have fantastic support staff. My program manager, Lavina Agarwal was always a delight to work with. I would recommend this program to anybody who is looking to get their toes wet in the field of Data Science. Read less

The PGPCC program of Great Learning in association with UT Austin is an excellent course for Cloud Computing enthusiasts . The curriculum is based on the current market requirements and it helps to build strong basic understanding of Cloud computing concepts.  Read less

Great Learning is a wonderful online learning platform where you can learn anything you want apart from what you subscribed for. You can learn all the latest technologies by balancing your personal and work life. The title Great Learning suits as the learning here is really great. Tutors, moderators, course materials, creating live project experience etc is wonderful. I would recommend everyone to join great learning to have a great learning. Read less

This is an excellent course. The course material are logically structured and well paced. The video lectures are good and covers the key points. On top of that, the online sessions conducted by Anchit were excellent and demonstrated practical usage of the key concepts.  Anchit provided key critical insights and bridged a lot of gap in my understanding an the implementation process.

Our Program Manager Arghya, kept me on track, with continuous follow-ups and provided guidance whenever I needed it. He planned out the entire course  week by week and that helped me adjust the pace as needed.
I have recommended this course to my friends and some of them have started their classes.
Thank You everyone for your help.

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I had enrolled in the course on Data Science and Business Analytics. The curriculum is very structured and well thought through. The explanation is very understandable and a lot of examples are provided for ease of understanding. The entire course structure is amazing. 
I would like to thank my Program Manager Arghya and my mentor for their constant support and guidance through the journey.  Read less

My overall experience while completing the Data Science and Business Analytics certification has been excellent, it is my first time completing an online course and I feel everything has been pretty positive: good material, videos, projects, classes once a week and assistance from the program managers. Arghya Pal has provided me with great support, always providing help, assistance and positiveness. I have really enjoyed the program, and specially the projects, i have done the low code versions and really enjoyed the business analysis and perspective from choosing this option.  Read less

This was a terrific course. It totally exceeded my expectations. My background is mechanical engineering and teaching. This program was comprehensive, very well organized and provided the needed support to understand the concepts presented. The video modules and live sessions were paced well, the amount of information presented was not overwhelming and the instructors were very knowledgeable and patient.

The one shining aspect of the program was the support I received from my program director, Arghya Pal. I suffered a death and sickness with both my parents. Mr. Pal was there to support and work with me to be able to successfully  complete this class. That would not have been possible if not for his compassion and professionalism. So I thank you kindly and highly recommend this program. You will not regret it! Read less

I am very happy that I made the decision to take this course. The Great Learning platform (Olympus) is very easy to use and at the same time very complete. It has the necessary elements to help the learning process. The body of teachers and the system that they implement during the instruction is very well prepared and designed in such a way that the students, through the study and analysis of theory and practice, become familiar with the learning, the fields of application, the circumstances that determine the analysis, the different solutions that can be developed, how the different models are compared and the expectations of the results obtained as well as their interpretation in the development of conclusions and recommendations of the cases analyzed. The videos and support material are very consistent with the case studies and assignments. The mentor classes developed by Anchit Saxena are extremely interesting, transmitting with great skill and knowledge the topics studied during the week in such a way that it complements the assigned topics during the week. The work carried out by our Project Manager, Arghya Pal, has been essential to maintain the necessary spirit and motivation throughout this course. He has always been very attentive in knowing how I have carried out the study and learning process, attentive to hearing the opinions and experiences during the development of the course. In addition, he has always had the ability to attend to all the observations and requirements that I have made in a satisfactory manner and faster than expected. In particular, I congratulate both for the work they have been doing. Finally, I would also like to point out that I have always had a quick and satisfactory response from the academic body to all the doubts that have arisen during the study of the course contents, being an essential aspect to deepen and better understand this field that was new to me. and that has become an exciting field that will surely serve me from now on in my professional life. Very happy to have done this program. Read less

PG diploma in cloud computing which is a 9 month course delivered by the great learning platform in conjunction with the University of Texas - Austin is one of the great online programs I have attended. It has both the flavors (Technical and Non-Technical). It provides a comprehensive technical know-how with relevant hands-on projects with a great amount of flexibility for working executives. I would strongly encourage and recommend this course for people who would like to embark upon the cloud journey and for people who are already experienced to connect with few great executives of cloud computing with decades of experience to learn and share. It is a great networking platform too.
I wish everyone the best for the successful completion and a great career ahead. Read less

 I joined Great Learning in November 2021 to pursue a PG program in Data science and business analytics. It is a great experience, I would say the course content is amazing, I continuously got program assistance from the Manager, Mr. Arghya Pal, the program instructor Mr. Rajan Patel, and the Academic support team. The faculty for the course is amazing. They explain difficult topics in a very simple way and it helps a lot to understand quickly for students who do not have a programming background. The course is designed in a way that after learning, you can apply the knowledge that you gained in your course. For the Sunday mentor session, Mr. Rajan Patel (our instructor) takes extra time to dive deep and explain us precisely the ongoing topic. Course Management by Mr. Arghya Pal is excellent, he gives his full attention to the students and sorts the issue very promptly. The academic team is very prompt to resolve queries regarding the course. 

Dhaval Desai  Read less

This is an excellent course with great exposure, training and mentorship on innovative concepts and trends in Machine learning. The use cases and hands-on sessions are very informative and put my passion high as a programmer and developer in e-commerce solutions. I highly recommend the course if you are seeking knowledge in consuming large datasets in business environment, learning trends and making informed decisions using Machine Learning. Read less

This course is a certificate for Data Science. I applied and did one installment payment. I DID NOT start the course. My son went to the emergency room and now I can't afford to do this course. Requested a refund and withdraw before the begin date. Over a week later - I contacted three people and only one got back to me to tell me to set up another call. Then, when I reach out to the original salesperson he doubles down on how this company doesn't have to refund anything and blah blah blah. AVOID THIS SCAM! They talk a great game and then when the money's in their bank they laugh and laugh and leave you high and dry. Can't believe MIT and other prestigious school bank their reputation on this shite company. Read less

Going through this course has been a great experience. The teaching methodology, and the course content are excellent, with exceptional mentor support. I will definitely recommend this course to colleagues and also be looking forward to more learning opportunities with Great Learning.  Read less

This was a great course - evenly spread out material, hands on projects, helpful mentors and staff, and good lectures. I would recommend this course to anyone that is interested in exploring data science and wants the right resources to get started. Thank you to the great learning team! Read less

It has been a great experience.

The method works. The correct orchestration of the recorded lectures accompanied by relevant material, the interactive live sessions (mentored, hands-on and conceptual), the permanent assistance and follow-up of the program manager and the rhythm of classes, exams and assignments, makes online learning possible for groups diverse in profession and experience.

The outstanding level of the MIT faculty and Industry Professionals who teach, solve and make flow the subjects that are complicated by nature.

The case studies and examples that are used are of the greatest relevance and utility to materialize learning, in elements that are immediately useful for the participants in their professional activities.

I attribute to the prestige the program had obtained over time, the fact that the students are of a very high level. People who today occupy relevant positions in a diversity of business sectors and industries, been several of them experts in topics related to those dealt with in the program. The interaction among these students, enriches the already substantial learning environment.

So the program is a very good combination of method + content + teachers + students + learning pace

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