MIT xPRO | Bootcamps

The MIT Applied Data Science Program was a highly valuable learning experience that strengthened my understanding of data science and machine learning. It combined theory with practical, hands-on projects that helped me apply key concepts to real-world problems. Overall, it provided structured learning and useful insights into modern AI and data science workflows.


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The overall experience was amazing. The program is well-designed, integrating both the deep concepts behind AI and hands-on practice through laboratories. The lectures were delivered by knowledge experts in the field. Each lesson was carefully structured to cover the key topics with well-chosen examples that complemented the content. The instructors maintained an excellent pace, ensuring clear understanding throughout the program.  Read less

This course provided a practical introduction to AI and machine learning through no-code tools. I enjoyed the hands-on approach and real-world examples, which made the concepts easy to understand and apply. The content was well organized, and the instructors explained topics clearly. I finished the program with a much better understanding of how AI solutions can be built and used in business settings. Overall, it was a valuable learning experience and a worthwhile certification Read less

Great Learning is an excellent platform to start your learning journey and build new skills. The course content is exceptionally structured and highly engaging, making complex topics easy to understand. Throughout the recent modules and homework, the mentors demonstrated incredible depth of knowledge and industry expertise. The best part of the experience is the reliable, round-the-clock support system that ensures you never get stuck on any assignment. This seamless guidance creates a smooth, stress-free learning environment from start to finish. I am incredibly satisfied with my progress and would 100% recommend this program to all my friends. Read less

When I first saw the No-code Ai program I was intrigued, but also a little anxious about returning to being a student and whether I would be successful. Those initial concerns were quickly eased through the program’s clear module-based structure and the pace of learning, which felt both manageable and engaging.

As the weeks progressed, I found myself building confidence in the material and becoming increasingly motivated to explore AI beyond the prescribed course content. The program administration was excellent, and the weekly mentored learning sessions were especially valuable as they reinforced key concepts while also encouraging deeper exploration and discussion.

The combination of course content, no-code AI tools, hands-on exercises, assessments, and real-world case studies created a highly practical learning experience and helped solidify the concepts each week. In just 12 weeks, this program took my understanding of AI from a novice level to an advanced level in a way that felt both accessible and incredibly rewarding.

I’m very glad I chose to take this program. It has been an extremely valuable and rewarding experience. To anyone considering it: if you commit to the process and fully engage, you will not be disappointed. Read less

MIT Professional Education Great Learning Applied AI & Data Science program was challenging, but highly rewarding experience.  I began with some basic statistics experience and very little coding experience.  I now have all the skills that the most experienced data scientists in my department have- and some that they don't.  I am also confident in my Python coding skills, as I have had plenty of practice with the Elective project and the Capstone project.  I learned data cleaning, data prep, dimensionality reduction, clustering, Principal Component Analysis, and so much more.  The lecturers were highly intelligent, experienced, and were able to bring the information down to a level I could readily understand and apply.  I have never had an educational experience in which I felt this supported.  I personally experienced some extraordinary circumstances in my personal life and was tempted to give up on the program, as it is very challenging and I was dealing with a lot at home.  My program coordinator, Sneha worked with me, encouraged me, and pushed me to finish the program and I am so glad I did.  I am very proud of having successfully completed this program and I will be able to use these skills in my current position daily going forward.  I have access to the program material for the next three years and I do see myself referring back to the lessons and learning material as it was very dense. Read less

The path of learning was smooth and sequential. Given assignments and projects were excellent. Completion of projects has given me added knowledge in Data Science and AI sector. The course goes deep in DS but only covers surface area on AI maybe because AI is still evolving but overall great surface knowledge in generative AI. I recommend to add more assignments and course materials regarding agentic AI as well. Mentors were reachable and were excellent throughout the session. Excellent communication by Mentor who were always ready to answer questions and clear doubts. They provided excellent feedback on my projects which helped me learn more on new way to resolve problems. Read less

If you’re interested about AI and Data Science I think one of the best ways to go further in these fields is the MIT-PE Applied AI & Data Science Program. I just finished the programm and I really liked it. Great faculty and material of the course. About the assistant and support for the Great-Learning team it has been terrific. Totally recomended! Read less

Five stars! The MIT Applied AI course is an intensive, well-structured deep dive into the future of technology. The quality of the lectures, mentored learning sessions and the caliber of the peer community made the learning process incredibly engaging. It’s an essential investment for anyone serious about staying at the forefront of the AI revolution
Special shout out to the program managers team. Especially Sam, who was thorough and extremely helpful! 


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The program was both demanding and deeply rewarding. It covered a wide range of concepts in a relatively short time, but the strong support from the Great Learning team and mentors made the experience manageable and engaging. What stood out most was the emphasis on applying theory to real-world data. The hands-on projects were especially valuable, helping reinforce key concepts and build confidence in applying them in practical scenarios. Read less

Following my desire to grow my knowledge in AI, I decided to enroll on this journey with certain expectations, at the end these were overpassed and brought even more than expected. Good balance between theory and practice, interesting cases and great tools to work. Read less

Great Learning was instrumental in successfully delivering MIT’s Applied AI and Data Science program. The platform created a well-structured and supportive learning experience by combining live online classes, organized course content, self-study materials, and practical exercises in a very effective way. I especially appreciated that the sessions were conducted live by professors in real time, which made the program much more interactive and engaging. We had the opportunity to ask questions both during class and offline, and the support system throughout the program was excellent. The additional study materials and practical use cases also helped strengthen my understanding beyond the classroom sessions. Overall, Great Learning played a major role in making the program accessible, structured, and impactful, and it significantly contributed to the knowledge and confidence I gained in applied AI and data science. Read less

I joined this project after being recommended by a previous graduate, so I came in with some expectations, and overall, it was a really solid experience.From my perspective, the structure of the project made a big difference. It walks you through everything step by step, from exploring the data to building models and then turning that into actual business insights. I never felt lost, but at the same time, it still challenged me to think deeper.What stood out to me the most is that it’s not just technical. I had to really think about how to explain my findings and how they would matter in a real business setting, which felt very practical.It definitely takes effort if you want to do it well, but in my experience, that’s also where the most value comes from. By the end, I felt much more confident not just analyzing data, but communicating it clearly.Overall, based on my experience, I’d say it’s a very worthwhile project if you’re looking for something practical and applicable. Read less

I recently completed the MIT Professional Education: No Code AI and Machine Learning program on Great Learning. Overall, it was a well-structured and insightful 12-week course that provides a strong introduction to AI and ML concepts without requiring any coding experience.The use of tools like KNIME and RapidMiner made the learning very practical and easy to apply. The lectures from MIT faculty were highly informative, and the mentorship sessions added good real-world perspective. The hands-on projects were especially helpful in reinforcing the concepts learned.The program is quite intensive for the duration, and some advanced topics could use a bit more depth, but it still offers great value for professionals looking to understand AI and lead data-driven work.Overall, I had a positive learning experience. Read less

I am genuinely very happy with the MIT Data Science and Artificial Intelligence program.What makes this program stand out is how well it balances depth and accessibility. The theoretical modules are taught by world-class professors and are both rigorous and easy to follow, while the practical cases led by practicing data scientists help translate the theory into real-world application.One of the highlights for me was the quality of the mentors. They have a remarkable ability to break down complex concepts in a way that someone without a highly technical or mathematical background can truly understand and use. That made a real difference for me, especially in learning how to apply sophisticated models to solve concrete business problems.I also really appreciated how practical and engaging the program is. You learn a lot, but in a way that feels dynamic and applicable, so the knowledge can quickly be used in day-to-day professional contexts.The program is intense, and I definitely felt challenged at times, but the program managers were extremely helpful throughout. Their support made it much easier to navigate deadlines and stay on track.Another major strength is the quality of the resources: the recorded videos, notebooks, and supporting materials are genuinely useful and continue to help me structure the analytical approaches I use in my professional work.Overall, I would recommend this program to a wide range of people — from aspiring data scientists to professionals who want to better understand and use data science and AI in their daily work. Read less

I would highly recommend the No-Code AI and Machine Learning course by MIT Online and Great Learning. Key highlights for me were:
- good balance of conceptual learning and practical technical application through projects with a focus on supporting business managers with decisions using AI/ML models
- flexibility to tailor the program to meet your needs through additional optional resources for AI, ML and data science professionals
- supportive faculty and program managers to guide and support the journey for busy working professionals
- easy to use learning platform, tools and resources. 
- The focus on 'no-code' is really useful to understand the potential for these tools to be deployed across any business (e.g. similar to how MS Excel is used today). 


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This Course exceeded all my expectations. As the CEO of a company that produces and commercializes mineral and synthetic lubricants, I took this Course to gain a general familiarity with no-code AI business solutions; however, the depth of understanding and breadth of knowledge obtained surprised me. The key reasons are the top level of the Professors, the methodology used, the quality of the material, and the support received. Therefore, I recommend it to business executives, like me, who have no data science background but want to understand these tools to take full advantage of them and lead initiatives upon their use.  Read less

 Excellent course!  I about to complete the No-Code AI course, and it has been a game-changer for my understanding of Machine Learning and Computer Vision. The program structure is top-notch; I particularly appreciated how the theoretical classes led by industry experts were immediately followed by hands-on sessions. This 'concept-to-application' approach, using real-time examples, made complex topics like CNN architectures and regression models much easier to grasp. Highly recommended for anyone looking to bridge the gap between AI theory and practical execution  Read less

I studied decision systems taking my master of epidemiology, but I really understood this chapter during these courses with great learning/MIT. I experimented with machine learning, artificial (ANN) and convolutional (CNN) neural networks which will help me in my work of epidemiologist/data scientist. I was very proud to attend this course and I warmly recommend it for students and workers who want to boost careers.  Read less