MIT xPRO | Bootcamps

I'm currently enrolled in the Full Stack Web Development certificate program, almost halfway through. 
I have a background in engineering and business, but had not coded for ~3 years before starting. 
The program has impressed me thoroughly thus far. The curriculum is thorough and practical - I talk with current web developers and have found that what I'm learning is sometimes more advanced than what they frequently do. 
I also appreciate how the course is structured, and that at the end I'll have a github with many valuable projects. 
If you enjoy remote learning and aren't afraid to get your hands dirty (every once in a while I have to use Google to solve an issue I'm facing), I'd highly recommend this program.  Read less

I am currently enrolled in MIT x Pro Full Stack with MERN and am loving it! This is my first extensive course on coding and it is a challenging yet very well put together course with support and video learning! I think it is well worth the initial investment and can help you learn valuable skills to transfer to a future employer! Read less

This course is meant to provide enough learning experience to walk away as a full-stack developer. I am about 1/3 of the way through so far, and I will say I have learned a ton. I was a beginner at coding and took it upon myself to learn some of the basics beforehand. I would definitely recommend this if starting from scratch. They will give you lots of outside resources to reference and use throughout, USE THEM! You just can't get all the information you need just from the videos. Make friends with other students too, make groups and use them for help and ideas. There is a ton of information here, but you will need to do outside studying to fully understand it.  Read less

I had a really great experience with the Applied AI and Data Science program at MIT. The course is thoughtfully structured, and the learning materials are clear, practical, and easy to follow.A special mention to Professor Cristiano Aguiar—his mentored learning sessions were thorough, engaging, and genuinely impactful. He has a way of breaking down complex concepts that makes them much easier to understand and apply. Catherine Peris, the Program Manager, was also extremely helpful in making the learning feel manageable throughout the course. The support and coordination really helped keep everything on track.One thing I really appreciated was the recorded training materials. Being able to go back and review sessions at my own pace made a huge difference, especially when balancing other commitments.All the professors involved in the program were excellent and clearly invested in teaching. The foundation and optional courses were also very helpful, especially for brushing up on Python skills, which are essential for getting the most out of the program.Overall, it’s a well-designed program that sets you up with both the fundamentals and practical exposure needed in AI and data science. Read less

I joint the No Code AI course to increase my knowledge of LLMs and how to apply AI in my field of work. The course has been enjoyable and comprehenssive. With a well organised and supportive team led learning structure. I am now more informed on how to apply AI to improve and automate outdated processes. Read less

I really didn't know what to expect when I signed up for this course. I have a coding background, but opted for the "No Code AI and Machine Learning: Building Data Science Solutions" course to learn about the different types of AI without having to focus on programming languages. I found the course relevant, the faculty highly knowledgeable, and the modules in-depth. Multiple areas of AI were discussed, the learning materials were excellent, and the hands-on projects cemented the learning.  Read less

 I am pursing the MIT No Code AI/ML Program by Great Learning and found it to be a highly structured and insightful learning experience. The curriculum effectively simplifies core AI and machine learning concepts, enabling learners from non-technical backgrounds to build practical AI solutions without coding. The sessions led by recorded MIT faculty videos and live industry experts sessions are particularly valuable, offering clarity and real-world relevance. Great Learning’s mentorship, project support, and overall program delivery are consistently professional and well-organized. I would recommend this program to anyone seeking a strong foundational understanding of AI/ML in a no-code format.  Read less

I recently completed the MIT Applied Data Science course and found the course to be valuable and informational. The course content was structured, well-organized and covered all the topics that are required to get started in the Data Science, like working with data, building models, and using Python tools. Topics such as machine learning, data wrangling, and predictive modeling provided in-depth knowledge and were as per industry standards.I liked the hands-on approach, the learning included both theoretical and real-world problem solving. There were many assignments and optional courses provided to increase the knowledge around topics of interest. I especially appreciated the capstone project, which allowed me to apply skills in a comprehensive and meaningful way.The faculty and teaching assistants were knowledgeable and explained things clearly. The online platform was organized and easy to use. However, many times course felt fast paced, especially for the working professional like me. I struggled a bit to keep up with the assignments and submissions. I appreciate the support and flexibility from the program manager in helping me get to the finish line of this course.Overall, I highly recommend the course to professionals who are looking to begin their career in data science or build their skills in this field. Read less

I’ve thoroughly enjoyed this course! The instructors are not only knowledgeable but also incredibly approachable. They are always willing to clarify any doubts or queries, ensuring that we truly understand the material. One of the best parts of the course is the flexibility it offers. Life can get busy, and sometimes meeting deadlines can be tough. However, the instructors offer opportunities to extend deadlines without penalizing our grades, which is such a relief. This flexibility is crucial for those of us balancing multiple responsibilities. Overall, this course is both well-structured and supportive, making it a great learning experience!



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The MIT Data Science and Machine Learning Course: from September 2024 to January 2025
 It is exceptionally well-structured to ensure students gain a deep understanding of the subject. The course includes numerous lectures, but they are carefully organized to be easily digestible.It covers a comprehensive range of topics, starting from basic statistics and fundamental machine learning models to deep learning, ChatGPT, and generative AI, offering a thorough overview of key areas in modern data science. I truly enjoyed this course because it gave me a clear, holistic understanding of data science as a field. While grasping the fundamental theories and core principles can be challenging, I found that going through these basics is essential for achieving a deeper comprehension of modern data science practices. Among all the topics, I found deep learning the most fascinating. There is so much more to explore in this rapidly evolving field. For anyone looking to master data science, I highly recommend this course! Read less

Enrolling in the MIT PE Applied Data Science program has been one of the most enlightening and inspiring experiences of my life. Balancing a full-time job while dedicating my evenings and off-days to studying and mentoring sessions was undoubtedly challenging, but the rewards have been immense.
As the program progressed, I found myself growing more confident—not just in my understanding of data science concepts but also in my ability to tackle complex challenges. The program’s intensity pushed me to excel, and the exceptional support from my program manager, mentors, and professors made all the difference. Their willingness to clarify complicated concepts, address concerns, and guide me through the learning journey was invaluable.
This program demands time, effort, and focus, but the sense of accomplishment at the end is unparalleled. In a world where AI and data science are shaping the future, this program has equipped me with the knowledge and skills to confidently upskill and advance in my career. For anyone considering this path, I can confidently say it’s worth the commitment. Read less

My overall experience with MIT and the DSML course was outstanding. Everyday my academic successes propelled me to want more and more knowledge in the this field. It is my hopes to continue growing and excelling in this domain and continue learning and growing in the field of data science and machine learning as well as AI! Thank you to all of my professors, lecturer’s and mentors. The explanations and total experience was life altering, compelling and inspiring. Best Wishes to all! Read less

I worked closely with coordinator Gautam from Great Learning and he has been a super star. Great character and great execution. I have worked with their rival company Emeritus also from India I think. Great Learning overall has a better feel. More warm, generally considerate and they hire nicer workers. That said Great Learning has better notes than Emeritus. Overall Great Learning puts in all the legwork for this prestigious American colleges and deserve more credit Read less

I recently completed the MIT Applied Data Science course; overall, it was an incredible experience! The classes were thorough, covering a wide range of relevant topics in data science. The instructors were knowledgeable and engaging, making complex concepts easier to understand. Although some of the material was challenging, it pushed me to grow and helped me expand my analytical skills significantly.The program administration and our program manager were outstanding—always supportive and responsive, helping us stay on track and making the experience smooth from start to finish. I highly recommend this course to anyone looking to deepen their data science knowledge and gain hands-on Python and data analysis skills! Read less

I gained a lot from this course and it supplemented my computer science background. The course lecture videos and review sessions were very helpful in strengthening my data science and machine learning skills. Not only did I gain more knowledge of the technical components and applications of this field, but the projects gave me excellent experience with actually implementing these technologies. Read less

I’ve been taking the online machine learning course by MIT, and it’s been an incredibly structured and rewarding experience. The course is well-organized, making complex concepts easier to grasp. The assignments are challenging but push me to apply what I’ve learned in meaningful ways, which has significantly deepened my understanding of the subject. I’ve gained a tremendous amount of knowledge so far, and I would highly recommend this course to anyone serious about diving into machine learning. Read less

The No-Code AI and Machine Learning course offered by GreatLearning has been a game-changer for me. The course is meticulously structured to break down advanced AI concepts into easily digestible content, regardless of your technical background. The hands-on projects using no-code platforms were particularly impactful, allowing me to create real-world AI models with confidence and ease.The instructors are not only experts in their field but also excellent at conveying complex ideas in an understandable way. The course also fosters a strong sense of community, with valuable interactions and prompt support from peers and mentors alike. This course is an invaluable resource for anyone looking to gain practical AI skills without needing to code. Read less