Great Learning

The Post Graduate Program in Data Science and Business Analytics from Great Learning is an excellent course for anyone looking to build a strong foundation in analytics and data-driven decision-making. The curriculum is well-structured, covering essential tools like Python, SQL, and machine learning, along with practical case studies. The mentors and faculty are highly supportive, making complex concepts easy to understand. Career guidance and hands-on projects help learners gain real-world exposure. Overall, it’s a great program for professionals seeking to upskill or transition into the data science field. Read less

The Postgraduate Program in Artificial Intelligence and Machine Learning, offered by the University of Texas in partnership with Great Learning, is a fantastic course for professionals who want to gain in-depth knowledge of AI along with hands-on experience. All the projects are based on real-time use cases from various industries. The program helped me apply the models we learned throughout the learning journey. I have learned a lot in a short period of time. I highly recommend this course.  Read less

The AI/ML learning course has been very helpful in learning python and applying AI/ML to business use cases and studying how they can be used in the real world. You learn the building blocks so you can understand different applications fully. The coursework does take a lot of time, but it is all useful information, especially if you are starting from ground zero on this subject, like I am. Read less

It was an incredible journey, tough at times but I made it through. A lot of tough nights but we received incredible support from the program office, it was indeed a learning curve but I gained a lot of knowledge and it was a great opportunity to get to upskill. Read less

The program is designed with beginners in mind, making complex concepts approachable without oversimplifying them. The instructors do a great job of connecting theory to real-world business applications, which makes the learning feel both practical and impactful.





The course structure is well thought out balancing lectures, hands-on exercises, and case studies so you build confidence step by step. I especially appreciate how the material ties directly into business decision-making, giving me both technical foundations and insights into how AI can create value in real organizations.





Overall, I’d highly recommend this course to anyone who is new to AI and machine learning but wants a strong, business-oriented introduction. It’s a great investment in skills that are becoming increasingly essential. Read less

Pros: 
1. I never learned python before, but this course had the pre-work that covered the basics of python.
2. Useful content and great explanations of new concepts
3. Interactive and the mentors are very patient

Cons: it's probably best to know calculus and linear algebra before starting Read less

I am currently enrolled in the AI/ML program with UT Austin’s McCombs School of Business through Great Learning, and it has already been such a positive experience. The instructors share their knowledge in a way that makes complex topics approachable, and I’ve really appreciated the steady support from the Great Learning team throughout the process. A special thank you to Neha, my program manager, whose encouragement and consistent support have made a real difference in helping me stay on track and feel confident as I move forward.






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This course while challenging and rigorous, has taught me a lot about machine learning and its practical use cases in a variety of industries. From predicting customer churn for banks to understanding renewable energy sources and how to optimize on that and utilizing a variety of AI techniques has given me an edge in the marketplace. A special thank you to my program manager, Neha, who kept me up to date on deadlines, learning modules, feedback on the course- I would recommend this course to anyone who is interested in learning even as a beginner in their AI/ML journey!  Read less

This comprehensive program covers the entire data science pathway, from foundational theory to advanced deep learning models, and everything in between. The balance between technical depth and accessible breakdowns makes it perfect for both beginners and those with prior experience. I particularly enjoyed the emphasis on hands-on projects with real-world scenarios, which reinforced concepts in a practical manner. For participants less comfortable with coding, the business-leader track offers a lighter pathway by focusing on interpreting results and presenting business insights, though I recommend trying the full-code submissions since Python is surprisingly intuitive and the labs are structured for learning by doing. 

The scope of projects was amazing: detecting celestial objects, exploring computer vision, segmenting retail customers with clustering, predicting attrition for an EdTech company, and building recommendation systems from Amazon product reviews. Overall, the course was great in content, design, and applicability. My only caution is that the regression and prediction module felt particularly intense, so pacing yourself is key. Read less

The 12 weeks over which we did the course have made me gain a wealth of knowledge that I have already started to apply at work thanks alot to all the faculty that led the program and the excellent program supervisors who are very helpful. Keep up the great work. Read less

The PGP AI/ML certification is a well structured and intense program for working professionals to help them understand basic and several advanced concepts in the field of AI and ML. This certification helped me connect the dots and get clarity around how I could benefit myself in my current/future role(s) from the advances in the field of AI/ML. The curriculum is well-paced, practical and sufficiently in-depth. The projects are very interesting and can be easily applied to simplification of some of the personal or work-related processes/problems.

Pros:
- Knowledgeable faculty - Well structured curriculum - Interesting projects - Detailed study material - Proactive program team

Cons:
I personally don’t see any cons to this program. One suggestion would be to set aside 1-2 hours daily to go over any new study material or to work on projects. Otherwise, it does get a little hectic to manage everything over the weekend. Read less

The course itself is very good.  They present some very complicated mathmatics in various sections, beyond what I would think most people are able to understand at that level.  However, if you focus on the underlying concepts and not the math itself it does help with the understanding of. the core concepts.  Plan to spend more time studying and reviewing the course materials than they suggest.  Overall a very rewarding course and I've learned a lot. Read less

Through Great Learning, I have had the honour to take a 12-Week course from MIT, one of the best universities in the world. Great Learning provided a unique experience for us as students to learn a well-achieved 21st century education that focused on No-Code AI with weekly lectures, learning resources, hands-on experience with No-Code AI tools as well as assisted with AI capabilities to prepare us for the needs of the new century and for us to be able to utilize our own AI learning which could latter lead us to build our very own. The courses mostly focused on Math and Statistics and lead us through the curriculum to experience AI tools that we can learn to use better for our personal and work lives combined. As the material can be accessed for 6 more months after the completion of the programme, we will have time to practice what we have learned at our own pace. What could be done better would mostly be to familiarize us with more AI tools to see multifarious options from which we can derive AI skills and mainly to learn the mind-mapping of an AI framework with more advanced MIT faculty resources used. The faculty and the Program Managers were both very friendly and personally accessible through the course and generally had a great experience learning both at MIT and through Great Learning. Read less

The PGP-AIML program by Great Learning in collaboration with UT Austin has been a truly enriching and career-defining experience for me. The curriculum is thoughtfully structured, starting from foundational concepts in Python and progressing into advanced topics like Machine Learning, Deep Learning, NLP, and Generative AI. Each module is reinforced through hands-on projects and real-world case studies, which made the learning process practical and engaging. The mentor-led sessions provided valuable guidance, and the small group format allowed for personalized attention and meaningful discussions. I especially appreciated the modules on Large Language Models and Prompt Engineering, which are highly relevant in today’s AI-driven landscape. The program also included exposure to powerful tools like ChatGPT, DALL·E, and Whisper, helping me stay ahead of industry trends. The support from the program manager was consistent and encouraging throughout the journey. The career services were equally impactful, offering resume reviews, mock interviews, and strategies to transition into AI/ML roles. Overall, the program provided a perfect balance of academic rigor, practical exposure, and industry alignment. I now feel confident in applying AI/ML techniques to solve complex business problems and lead initiatives in my organization. Read less

This program was a great introduction to real-world data science and machine learning. The lessons were well-structured, the instructors explained complex topics clearly, and the hands-on coding exercises really helped reinforce the material. While it could go deeper into advanced topics and lacks live mentorship, the flexibility and MIT brand make it a strong choice for students and early-career professionals. Read less

 This MIT IDSS data science course was quite the journey! It genuinely kept me on my toes, constantly diving into complex topics that often had me scrambling for answers and, well, asking a lot of questions here! From wrestling with messy datasets to finally making sense of intricate model outputs, every module was a real brain-teaser. While it definitely pushed my limits, the hands-on approach truly solidified my understanding. I'm walking away with a much deeper, practical grasp of data science principles. It's tough, but incredibly rewarding – definitely recommend it for anyone serious about the field!  Read less

I really enjoyed my time with Great Learning. As a novice in the field of AI, Data Science, and Machine Learning, I was nervous to embark on this journey. The teaching team, mentors, and program staff were excellent. The focus was truly on learning and I've built a toolkit of useful skills that I will employ in my current and future personal and professional endeavors. Read less

I joined the no code school, ot was great and the school was very good. The teachers were accommodating and helpful. The modules were a mix of good cover between basic data sciences and ML, generative AI was also part of it. It gets your knowledge up to scratch and from there you have to work hard to get the practice. Read less