Great Learning

This course is a masterclass in clarity and practical application. I especially valued the deep dive into multi-modal systems, which gave me the confidence to evaluate and select the right models for various scenarios. The course materials are expertly developed and easy to follow. Beyond the content, the mentorship was invaluable. The instructors don’t just teach; they mentor. The live sessions allowed us to explore the material with real-world examples, ensuring we fully grasped the concepts before moving forward. The homework platform was also seamless, providing clear instructions that kept the momentum going.
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The Applied Al and Data Science program was exceptionally well structured and comprehensive, delivering a deep and thoughtfully designed learning experience. The sessions led by MIT professors were particularly valuable, as they helped me understand the origins of key concepts and build strong theoretical foundations, while the weekend classes complemented this by offering detailed explanations, practical insights, and thorough coverage of every concept along with dedicated time to address all questions. Overall, the program provided excellent exposure to data science topics, Python, and Al models through a rich mix of quizzes and hands-on projects. Although the program was intensive and required dedicated weekly effort, it was highly rewarding. My motivation and ability to stay on track were greatly supported by my program coordinator, Karandeep, whose consistent guidance, prompt responses to questions, and help with program management made a significant difference. Completing the program would have been far more challenging without his support-thank you for an outstanding learning experience. Read less

I have completed the 'Applied AI and Data Science Program' of MIT Professional Education in April 2026. Within that program I have gained a deep understanding in Data Analysis and Visualization, Machine Learning, Recommendation Systems, Gen AI (only to name a few topics), and also Python programming is included. During the course three (major) projects need to be completed, and I loved the possibility to either go with a 'full-code' version (more for programmers), or the one that I chose, the 'low-code' version, which also requests a business report. 
The program is run by Great Learning who provided every support you could imagine: the online sessions with MIT were supported by a Great Learning team member who was screening the chat and answering the participants' questions on the spot. Further, the was very useful information provided via multiple channels (e.g. Olympus Learning Management System, Slack, e-mail) and all sessions were recorded for later review. 
I would 100% recommend this program looking to level up in the abovementioned topics. Many thanks to all involved MIT professors and Great Learning team members. Read less

I spent years running small businesses without data or strategy. At 46 I enrolled in this MIT No-Code AI & ML program and it changed everything. The structure is brilliant — week by week, from basics to neural networks. The instructors are world-class. Best investment in myself ever.
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This course takes you from the nuts and bolts of how LLMs function to the wonder of applying generative AI. The instructors gave clear, insightful examples that made complex concepts accessible. I finished with both deep understanding and genuine awe at the practical potential of AI. Read less

I’m only about halfway through Great Learning’s Post Graduate Program in AI and Machine Learning: Business Applications but have found the course to be well-paced and a great experience so far. Expectations and time requirements are communicated clearly and the Olympus platform is easy to navigate. 

The coursework itself is comprehensive and does require due diligence and commitment from the student to stay on top of the graded materials and concepts (especially those with limited prior experience in coding and/or machine learning. The instructors and mentors are excellent and support from the assigned program manager is exceptional. I’d highly recommend for anyone interesting in furthering their education or experience! Read less

The course is great in regarding to learning materials - from deep theory to practical hands-on knowledge via case studies. Flexible studying modes with mentor sections at the weekend. Great lectures from MIT Professors. Course structure is clear and easy to follow. I learnt what I needed to learnt. Great support from Program Manager, Mentors and the team when never I need help. Read less

The MIT No Code AI and Machine Learning program from Great Learning is a great fit for busy professionals who want to understand the AI landscape without diving into coding. It offers a rich mix of hands-on video tutorials, practical case studies, curated articles, industry insights, assessments, projects, and mentor-led sessions, all supported by clear handouts and content pages. Designed to accommodate different learning styles, the program combines MIT's content with flexible, practical delivery, making it easy to grasp complex AI concepts and immediately apply them to real business challenges. Read less

I had a great learning experience with the AIML course from Great Learning. I found the course curriculum covers most of key concepts, starting from the basics of Python and progressing seamlessly to advanced ALML concepts. The hands-on projects were extremely valuable, helping me gain practical experience and confidence in solving real-world use cases. The sessions were well-planned, even considering holidays, ensuring a consistent and effective learning journey. During my study I had to take a break for few weeks, due to some unavoidable issues, I am glad I got another chance to resume my studies. I found the policies are helpful and I am thankful to program manager Prabhjyot Singh, for his continuous support. He effectively managed the training schedules, ensured timely follow-ups, and was always available to address any queries related to the learning platform and class timings. His coordination made the entire experience smooth and well-organized.  Read less

This was the first fully virtual class I've taken and I wasn't sure what to expect, but between the mentors, the well prepared resources, the ease of the platform, and the very accessible program managers, I can safely say my expectations were exceeded. I always felt I had someone to ask my questions to, and the course was thorough. Read less

The Applied Data Science program was an outstanding learning experience. The curriculum was well-structured, highly practical, and deeply relevant to real-world applications. The instructors explained complex concepts clearly, and the hands-on projects significantly strengthened my understanding. I’m walking away with strong, actionable skills and much more confidence in applying data science at work.
I would also like to appreciate Pavitra, our program coordinator, who was incredibly supportive throughout the course. She consistently helped me with assignment coordination and promptly assisted with any administrative issues I faced, making the overall experience even smoother. Read less

The no-code AI and ML course was extremely detailed and thoughtfully put together. They started with math and stats basics and developed your learning into AI through an amazing set of modules. There are a lot of different ways to learn and engage in the subject matters presented. I highly recommend this course. Read less

My experience at Great Learning was extremely positive on all relevant fronts.



In terms of the educational content, there is much to highlight. Key concepts were often presented in a pedagogically sound and impressive manner during the lectures. While there can be a substantial amount of material to cover in each course, this also means you can get a great deal out of it if you make a genuine effort to review the content carefully. Thankfully, the lectures themselves were often just the right length--long enough to teach something meaningful but short enough to hold your attention. As a result, it was possible to make real progress in learning each day, even with limited time.



Beyond the lectures, the guided live sessions were very valuable. They typically included a “theoretical” review of the week’s content, followed by a more “hands-on” portion where the instructor demonstrated practical applications of the concepts in action- something especially important in AI/ML and useful for carrying out the assigned projects. The live sessions generally ran closer to two and a half hours than two, but both parts (the theoretical and the practical) were important and worthwhile. Student questions and participation also showed strong engagement with the material. I was also fortunate to have an excellent instructor who was deeply committed to ensuring that students truly understood the material before moving on to more advanced topics. He even often shared stories from his professional experience about how he approached related challenges in his work, which I found both interesting and enlightening.



Regarding assessments, there were two main components: a series of weekly quizzes and a final project for each course or module. The quizzes were fair and fit well within a typically busy schedule. Their flexible completion windows (rather than fixed times) were especially convenient. The projects, however, were where I learned the most. They helped bring everything together, and after completing several of them, I began to develop a clear sense of what real AI/ML work involves, e.g., how projects are structured, which packages are relevant for specific tasks, how long different steps might take, and so on. In the end, these projects can serve as excellent portfolio pieces that demonstrate the skills you’ve developed throughout the program. The feedback I received on my projects was also constructive, helpful, and typically delivered quickly.



Although of lesser importance, the general user interface, community forums, leaderboards, and other platform features also contributed positively to the overall learning/social experience. Things seemed well-designed and intuitive overall, as well as conducive to maintaining or increasing one’s motivation levels throughout the program.



Finally, on the administrative side, Great Learning truly stood out for me, so a few words are in order. I was assigned a program manager, Usha, who was incredibly helpful from the start- creating the right atmosphere and setting one up for success right from the get-go. She is someone who was very accessible and supportive throughout the program. Indeed, at one point, I encountered a serious issue submitting a project worth over half my grade, and it was something I had worked very hard on. In similar situations elsewhere, I have experienced slow responses and limited support, which essentially only led to frustration. However, Usha handled the matter quickly and effectively, and that showed me just how much of a difference a great program manager can make. Her patience, understanding, and impressive dedication allowed me to submit the project successfully in the end, something I remain deeply grateful for. Her combination of professionalism and commitment really served to make my experience at Great Learning an especially memorable one and I have no doubt she was a key factor in my success throughout the program. Anyone who has Usha as a program manager in the future should consider themselves fortunate, as they will have someone genuinely dedicated to their success.



 



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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