Great Learning

I was a little hesitant to start a online course but came across Great Learning and gave it a try. I was really surprised to have a great experience, the course was well structured giving both theory and practical knowledge which is important. It even has live mentor sessions to help you with your doubts regarding the topics covered. I really had a great learning experience. Kudos Read less

It has been an immense pleasure to be part of great learning team from day one. The mentors were highly knowledge in their domain and patiently clarified all our queries. Program owner truly understand everyone’s need and were flexible in accommodating those. Overall this  is great experience and wonderful learning curve .  Read less

Coming from a finance and operational background, I was very nervous starting a Data Science course. This  was unfounded as I found both the cource and academic support both stimulating and extremely helpful. Upon completion of the course I am confident and excited about my new career path ..  Read less

It was great and happy learning experience, Faculties are knowledgeable , covered various topics and projects were challenging and interesting. Mentor learning session was interesting. Program manager(Lavina) ensured learning experience was excellent and cleared any impediment.  Read less

Dear Twinkle,Dear Great Learning TeamDear MIT It is with a mixed feeling that I write these words.Happy because I finally completed the program and with my objectives achieved.But at the same time, sad, because there are no more videos, no more quizzes to complete. This was an amazing program, with a great support from Twinkle Khanna, my program manager, great content and definitely a great platform. A special word for Twinkle as she was always available and supportive on all the issues that I had during this program.I wish you all the best and we will meet soon in other programs.  Read less

The PGP AIML UT Austin program is outstanding. Over the course of six months the depth and breadth that is covered is impressive. The pace is just right, especially for folks with full-time day jobs.   From online "lectures"--really, short videos with non-graded quizzes to assure understanding--to weekly quizzes, to weekend mentored sessions, to monthly projects, the program is excellent. It was not easy--you WILL work, but definitely not out of reach for dedicated students. Our peers really supported one another to help especially get through monthly projects. And our mentors--"real life professionals"--were great relating the theory of what we were learning to actual professional practice.   I am lucky to have had a LOT of "traditional" schooling and a few degrees (bachelor's, master's, and doctorate, earned on-site and online). Great Learning's materials, people, exercises, and projects are top-notch. You will learn so much in terms of theory, code, and practice, in a relatively short period of time. Your mind, truly, if you dedicate yourself, will be transformed.   Be WARNED: your perception of the value proposition of "traditional" education will be forever changed, as Great Learning is truly exceptional. That, and how you view the world, particularly through the eyes of data science, will be forever changed. As will your skillset (if you work!), and presumed "marketability".   Most highly recommend.   Sincerely,   Scott Helf, DO, MSIT Co-Founder, ProgressIQ Read less

I'd say money well spent, By no means this could have been done in a jiffy. This program needs dedication and high spirits. Our mentor was great, program office was responsive to the optimum. Classes were well sorted by experience. Had time in between to practice. Everything aligned perfectly, Now that the program is over I know this feeling - Accomplished! Let's see what is next to learn.  Read less

AI and Machine Learning are all the rage these days. When asked by your organization to use AI to solve a problem, how do you know if the problem is well-suited for an AI solution? What's the likelihood of your project succeeding? This is why I took this course. I wanted to actually implement AI in a number of scenarios to see what works and what's hard. I did that and learned a ton.  Read less

I was skeptical when I started the course but it soon turned out to be very interesting and engaging! It was indeed a great course which provided a sound understanding of Ai and Machine Learning. The course material and exercises was pretty good. The faculty as well as the mentors from the industry did  a fantastic job in providing insights and clarifying doubts during the live weekend sessions.  The Olympus portal and dashboards were very convenient to use! The support from the Great Learning Program office (especially Pragya) was great! Overall, it was a great experience which covered concepts to coding as well as real life industry insights! Read less

Overall program was very well designed and had very in-depth coverings from basic to advanced topics. Quality of course contents was above my expectations and all the instructors who delivered the contents were professional with in-depth knowledge in this area with industry experience. All modules had real-world use cases and projects tailored to readily apply knowledge of that at work after completions. Overall support from program manager, instructors and team was awesome. I heavily recommend this course if anyone wants to take full in-depth learning experience in AI and Machine Learning space.  Read less

This program is a wealth of information and would be valuable to anyone interested in data science or someone who works with data in their current field looking to increase their skillsets in data analysis, manipulation, and machine learning. There really is semesters worth of information packed within a blistering 12-week program, but even working a full-time job and a busy summer holiday schedule, I never felt overwhelmed with the workload. The MIT professor's lectures were clear and engaging, the Great Learning platform is easy to use and convenient, the program managers were available and helpful, and the live lectures with our assigned industry professional gave a ton of access for questions and discussion. The examples and case studies that are worked on throughout the course touch on many different industries and applications which I found to be very insightful. As someone changing career paths and just starting in data science, I feel much more prepared and focused. Read less

Just finished the PG Program for AIML from Texas McCombs, which is a very demanding online program. The program itself has a good structure, excellent material with videos, case studies, exercises, lots of quizzes and well researched articles that help in understanding and diving deeper into each subject. The mentoring sessions, with 10-15 student groups, are led by mentors who have years of industry experience. They are a truly valuable addition that helps to interact, clear doubts and walk-through additional case studies. After finishing the course, I feel that I have the right tools at hand to lead or architect a project that requires strong ML or DL knowledge.
The platform is excellent and also offers access through a mobile app, which enabled me to review the material while waiting for my daughter's ballet classes to finish. 
The course is so demanding and when employed full-time it seems very hard to reach the finish line, but with the program manager's support, the flexible options that they offer and most of all their understanding, it becomes much easier!
One thing to be mindful about is that the course is advertised as a 6-month course, but with an initial prep time of almost 2 months and breaks for holidays it actually takes 9 months to complete. For me this was not an issue as it helped me to refresh my Python skills and Statistics knowledge that are required to understand and work on the subjects, but for others that have time restrictions this might be helpful to know. Read less

The program is really comprehensive. The great Learning team has made an enormous effort to create the course syllabus. The Olympus tool which is used to communicate is very well designed. This course will make you zero to hero in 6 months. I recommend this course to other students Read less

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