MIT xPRO | Bootcamps Reviews
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Rao Sadhureddy Verified via LinkedIn
Incredible learning experience, very informative, complex topics simplified
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I attended the "MIT- NO CODE AI AND MACHINE LEARNING-AUGUST 2023-C" course offered by Great Learning team. I wasn't sure if I would be able to do the course given the complexity of the AI/ML topics. But the faculty, the program manager made the process really smooth with support at any given time of the day. What I really liked about the course is that the video lectures are backed by a lot of supporting material and the weekly sessions revised by mentors. The course really built confidence in me as I am able to freely converse about AI models, Neural networks deep learning, and NLP. The course has given me the platform to take the learnings and apply in my day to day work. I am super grateful to all the world class faculty who not only taught via video lectures but also in the weekly mandatory sessions. I also want to Thank my program manager Ms. Shruti Prakash for her relentless support. -
James Schultz Verified via LinkedIn
Non-Programmer to Programmer
I started the Machine Learning and Data Science with Python course as a student with 0 experience programming with real and existing language. The course raught me Python and helped me understand how machine learning worked with the many self driving companies I've worked with. Program Manager was patient with my full time work deadlines and helped me complete the program. -
Gabriela Todorova Verified via LinkedIn
Great structure
The program was structured very well, started off with the very basics and ended up with pretty high-level concepts. Ishwor Bhasal was a great professor and I was looking forward to the live classes every week. The program manager (Glory) was extremely helpful, wouldn’t have made it without her! Overall, great class, totally recommend! -
Deepikaa Sriram Verified via LinkedIn
Excellent program with supportive mentorship
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The program was excellent. Fair warning, it was quite intense with classes 5x/week, multiple projects, and weekly quizzes. However, the content is structured very well and I learned a LOT in a short amount of time. The program advisor Mariam is responsive and helpful in accommodating my requests/questions. The faculty is of course brilliant. My mentor Eshan was also very knowledgeable and supportive. If you're looking to upskill or pivot careers, I highly recommend this course. -
Vasan Papanasam Verified via LinkedIn
Applied Data Science @MIT - Excellent Program!
I gained knowledge, skills and experience that is helping with my career. The additional skills I gained is helping me with problem solving and has increased my confidence. My program manager Mariam was very timely with information and reminders that helped me stay on top. My sincere thanks to Mariam! Thanks to MIT and Great Learning for such a great program!
Thanks,
Vasan Papanasam -
Blessed Takavarasha Verified via LinkedIn
My proverbial great Learning with MIT”s IDSS and Great Learning
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MIT IDSS and Great learning’s data science and machine learning course is an excellent 12 week course that gets you on your toes within the first two weeks into the course. The online tutorials are both thorough and quite engaging.
If you have a daytime job be sure to work extra hard to keep up with the ever looming deadlines for submitting weekly exam quizzes and projects after completing each module.
There is also some mandatory weekend mentorship sessions. Although they are recorded for if you fail to attend . I personally ensured that I attended 100% of the time. This is really important as it gets you the opportunity to engage with industry experts . You also get the opportunity to ask questions and get clarifications on issues you may have missed or didn’t quite understand. Additionally the mentorship approach is structured in such a way that it fills like you’re breaking new ground into some subtle familiarities.
Their Program coordinators are very professional and accommodating. You can approach them for any questions clarifications or doubts. They always find ways to address your concerns .
The prerecorded lectures conducted by MIT professors somewhat make you feel like you’re on campus. I am proud with myself for taking this course. I would greatly recommend it to anyone who wants to learn from the best in the field of Data science and machine learning. -
carlos alberto sancez hormaza Verified via LinkedIn
worth doing
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My great learning experience of data science and machine learning was excellent. I consider the staff quality, the lectures and the handouts to be top in the world. I always felt supported by the MIT staff, my WhatsApps were quickly answered whenever I had a question, and the weekly lectures were very important to clarify my doubts. I am very sure that I will continue taking more courses. Learning is a lifelong exciting road -
Ping F Verified via LinkedIn
It is an excellent practical hands-on bootcamp!
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I recently completed a data science bootcamp program and I must say, it was an incredible experience. The course design was well-structured and the practical, hands-on approach to using Python was extremely effective. The techniques that were taught were up-to-date and could be easily applied to real-world business scenarios.The instructors and mentors were patient and always willing to address any questions or concerns that arose during the program. The program manager was also extremely helpful in coordinating schedule changes and assignment submissions to ensure a positive course experience and ultimate success.Overall, I highly recommend this data science bootcamp program to anyone looking to expand their skills and knowledge in this field. Additionally, if advanced and continuous course options become available, I would definitely consider taking them to further enhance my skills. -
Luciana Machado Verified via LinkedIn
Mastering Python and Beyond with MIT's Program
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As a senior researcher with over 15 years of experience in academia, I have found the Applied Data Science Program offered by MIT Professional Education, in collaboration with Great Learning, to be an exceptional learning experience. The program delivers a comprehensive and well-rounded understanding of data-driven business decisions and has enabled me to significantly upgrade my data analytics skills, including mastering Python. The meticulously designed curriculum covers essential topics such as machine learning, data visualization, time-series analysis, recommendation systems, and deep learning, striking a balance between theoretical knowledge and practical application. The live virtual classes and mentorship sessions are led by top MIT faculty members and industry experts, ensuring both academic rigor and industry relevance. The knowledge I have gained from this program will undoubtedly be instrumental in my future endeavors. I highly recommend this program to professionals seeking to expand their data science expertise and make a positive impact in their organizations. -
Lawrence McDaniel Verified via GitHub
MIT IDSS Data Science certification
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In Nov-2022 I completed the Fall MIT IDSS Data Science certification, operated by Great Learning (https://www.mygreatlearning.com/). This is a good course for anyone aspiring to learn how to implement popular machine learning and AI techniques using current state of the art technologies such as Python and Google Colab. The course is an ideal blend of theory and hands-on projects and workshops that combined, will help anyone who is already proficient with elementary discrete mathematics and object-oriented programming. There were approximately 350 enrolled students in my class broken into two cohorts by time-zone. A majority of my classmates appear to have readily understood the theory, but struggled with programming assignments. Thus in hindsight, I'd strongly recommend that you consider a beginner/refresher Python programming course prior to enrolling in this course.
The lectures consist entirely of online pre-recorded videos, along with copious curated collections of supplemental reading materials; nearly all of which are freely available on the web. There are a total of around a dozen lecturers, all of whom are MIT faculty and fellows of the Institute for Data Science & Society (IDSS). The faculty team is unequaled not only in their understanding of the course content but also in their collective ability to communicate complex subject matter in a way that nearly anyone can easily understand. They are in a word: gifted.
You'll learn the following in this course: analyzing structured and unstructured data, classification systems, predictive analytics, AI deep learning, recommendation systems, and some basic graph theory. The subject matter and examples are on par with the current state of the art that you see in large Internet platforms like Amazon.com and Netflix as well as inside industry leading academic research platforms like Broad Institute.
If you apply yourself then this course is a one-stop shop to catapult yourself into the current vanguard of machine learning and AI.
Good:- The faculty. I learned from the world's greatest minds in ML and AI. Every instructor is inspiring, is exceptionally well-informed in their field, and demonstrate extraordinary communication skill.
- Mentors and Live Sessions. Great Learning provides semi-weekly live group video mentor sessions via Zoom. The mentors are as knowledgeable as the instructors, if not more so, largely because they all come from industry and thus are currently-practicing professionals.
- Code samples. You'll acquire a very nice library of working Python code for every subject covered in the course. I can't overstate the usefulness of these code samples.
- Networking. I met several dozen kindred spirits during this course. My colleagues were all, and without exception, bright and talented minds whom I'm grateful to have had the opportunity to meet and to stay in contact.
- Web platform. Great Learning has a proprietary online learning management system (LMS) that, while not without its shortcomings (see below), is fundamentally a robust and full-featured system that is mostly intuitive and easy to use.
Bad:- Basic organization. The course lacked a concrete syllabus, with dates & times of lectures, homework assignments, and other graded activities. The course content remains in a locked state until you arrive to the date upon which someone at Great Learning decides that its time for you to gain access. After completing around half the course I finally figured out the rhyme to this insanity. Why anyone would lock content that you already paid for is anyone guess, but from a learner's perspective it's a galactically stupid policy.
- Required video sessions at weird hours. The mentors, as good as they truly are, ought to be valuable **optional** resource for learners. but that is not the case. Whether you need help or not, the live video mentor sessions are not only mandatory but your attendance in these sessions factors into your final course grade. If that wasn't bad enough, the session themselves were held at extremely peculiar hours like say, on Sunday mornings at 7:00am, lasting for 2.50 hours. Furthermore, Great Learning was generally awful at basic communication like say, in communicating when these sessions would be held, if at all. These, in my case pointless, video sessions were the bane of my existence for the duration of this course. They complicated my business travel logistics to no end, and frequently ruined my family plans. And lastly, the live mentor sessions were generally held after I'd already submitted my graded homework/quiz, making them even more pointless in my case.
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Luis sarmiento Verified via LinkedIn
Machine learning - MIT IDSS
The machine learning course is been a very challenging one for me , but most important im enjoying this process , the stuff , teachers and head make this course really easy for you on the process to teach every aspect. They are always there to help you and answer every question you have -
Avery Cordero Verified via GitHub
DO NOT WASTE YOUR MONEY ON THIS COURSE
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I am 19 years old and I recently graduated high school. I was looking for more affordable alternatives to getting a four year degree as I have no quarrels with furthering my education but college is prohibitively expensive for someone in my situation. That being said, I definitely did not find it here. This has, by far, been one of the most difficult times in my life and it is 100% because of this course. To start, there are no live lectures where you can ask questions. All you get are this little 1 hour sessions where people who don't know the first [redacted] thing about teaching work through some concept that go on once a week. Second off, ALL and yes I mean ALL of the course material is YEARS out of date. SO MUCH SO THAT MOST OF THE INSTRUCTIONS IN THE BACK END PORTION OF THE CLASS, WHEN FOLLOWED, WILL NOT RUN. This course is simply using MIT's name to sell you something that is outdated and will not help your learning progress at all. -
GM Verified via LinkedIn
waste of money
what a waste of money, they stand that you will be a professional but after you finish it you will
be so far of a professional career, is a crap of content -
Tim Verified via GitHub
Do Not Waste Time and Money Like I Did
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Having just finished this course, I write this review as a cautionary tale...do not waste your time and money on this program. While it is exciting to have the opportunity to learn from two MIT professors who are clearly very passionate and very skilled at what they do, that does not translate well in these videos. The majority of the videos are spent explaining bits and pieces of what code was implemented, not why and/or how. You'll watch these videos multiple times and still have a hard time grasping the information because it's explained in such a poor, rambling manner. These videos/starter code files are nearly two years old and as a result, the majority of the code will be broken on the last two of the three sections of the course, most notably in the last course. The code editor that is used to submit assignments is very particular in its logic, so you'll spend more time trying to learn how to pass the coding assignments the way that the system wants you to, rather than actually learning how to code. I hoped that at the least I'd have a certificate with the MIT name on it and that's literally the only positive I can take out of this course six months later.
The only reason why I've given an additional star under the instructors is for the live learning facilitators-they're incredible and one of the few bright spots in the mess of a program. One of the great benefits is that you have access to them five times a week. They already work in the field and do a very good job of providing support/walking through building projects and answering questions. That's really the only positive I can think of. I wouldn't recommend this course to anyone who does not already have a background in coding, because it's very hard to grasp the material. I feel like I've learned next to nothing and would consider legal action to get my money back if I thought I had a case.Erin Rosenblatt of MIT xPRO | Bootcamps
VP of Professional Certificates, Emeritus
May 05, 2022
Hi Tim, We are truly sorry to hear that this program didn’t meet your expectations. We’re committed to helping you build the skills you need to take your career to the next level, and all our programs undergo thorough review for content quality and rigor. The Next Tech tool is also consistently updated when changes occur to code bases and when exercises need to be updated. However, success in this program does rely heavily on the learner’s ability to be self-directed, research on their own, and reach out when they need help. If you’d like to discuss your experience further and provide additional feedback, you may contact mit@emeritus.org. We appreciate your feedback, as it helps us improve the experience for all future learners in our program. Thank you, Erin Rosenblatt VP of Professional Certificates, Emeritus -
Kimberly Tran Verified via GitHub
Where do I even begin..
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Gosh, I wish I wasn't writing this review after the money that was put on my credit card. I feel like a fool but they totally used the MIT name in order to sell, sell, sell. Nothing about this bootcamp is beginner friendly but even if you put that aside, the assignments that work on a program called NextTech do not work half of the time. So even if your code is correct, you can't see it on the console. On top of that, you do not have accesses to any coders, so getting help on your home work is near impossible. I have a 'coder' husband who helped me through the beginning of the assignments before he finally said, cut your loses. There are so many typos in their code and you're able to pass your Next Tech assignments even if your code is wrong OR right. Anyway, this is almost scam level and I am personally surprised more people haven't reported them to better business bureau.Erin Rosenblatt of MIT xPRO | Bootcamps
VP of Professional Certificates, Emeritus
Mar 23, 2022
Hi Kimberly, we’re sorry to hear that the program did not meet your learning expectations. Our records indicate that you withdrew from the program very early before sharing your concerns regarding coding support or NextTech, so we’d like to address both. The NextTech concern is part of a larger software issue we’ve experienced and not the course content. We are working with the company to troubleshoot these difficulties and have been posting regular updates for students to set accurate expectations that reflect the issues. With regard to coding support, program participants do have access to coders. Our learning facilitators are developers in their careers and highly experienced professionals who are available to answer questions anytime via Q+A boards, email, and office hours. If you have additional questions or feedback that you’d like to share, please contact mit@emeritus.org. Thank you, Erin Rosenblatt VP of Professional Certificates, Emeritus -
Miriam Bade Verified via LinkedIn
Professional Certificate in Coding Women’s Cohort
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I would describe this Bootcamp as a: some knowledge and self-taught Bootcamp.
Professionally, I have a degree in BS Computer Science and I've been a software engineer for over a decade, focusing more on technologies like Java.
I decided to take this Bootcamp because I wanted to learn new technologies and I wanted to force myself to complete it but I would say that even though it is described as a 0 experience/knowledge needed if you have some experience or knowledge it would be the best because a lot of the information is left out so you can research it and if you have no clue what to look for, it could be really frustrating.
On the positive side, modules are pretty interesting and they have slack groups where you get to meet and work with your classmates so you can also start building teamwork skills that are needed in the real world.
Finally, they also have some sessions to help you to find jobs and how to get better at interviews so that can be useful for those ones looking for a change in their careers. -
James Verified via GitHub
Great curriculum, good support, very flexible
The program gives a strong foundation to become a full-stack developer starting with no experience in the subject. If you put the time & effort, study the lessons and the additional materials, attend to the live office hours, engage with your classmates & facilitators, and practice what you've learned, you really acquire the skills and knowledge to create great websites/apps -
Tsidi Dawson Verified via GitHub
Professional Certificate in Coding: Full Stack Development with MERN-February 2021
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So in January this year, I started researching about which industries had more jobs than the right candidates to fill the positions.
Coding came up tops so I begun another research on the best institutions to learn how to code. Two days after I had started my search, I started seeing banner adverts of this course on social media. I scheduled a call with a course advisor who was so helpful and answered my questions in great detail. I joined the live information session on this course and after reading on the course instructors and what they have achieved in the coding fraternity, I immediately knew i wanted to study at MiT.
The course is very demanding, It's designed in a way that makes you do a lot of research on the curriculum. The course work requires between 15-20 hours per week to complete. There are weekly assignments and quizzes which must be submitted in order to complete the course work for the week.
The course is in three parts, the first part is web development which teaches how to layout a website, design it and create a logic for the site. At the end of each part, there's a project that every student must complete as part of the course work. The projects helps you practice what you've been taught.
The Next Tech platform which is a program we use to submit coding assignments is very opinionated and often leaves you frustrated when its not accepting your code. DO NOT GET FRUSTRATED, if you follow the instructions, next tech will accept the code for submission.
The best part of this bootcamp for me is the learning facilitators. Three facilitators meet with students 3 times a week at different times. The learning facilitators are so helpful and take their time to explain the concepts. They are like our number one fans and always look out for us. They have Q&A's during their office hours, interact with students on the course platform and are quick to reply emails.
I'm 20 weeks into this course and though I know I have a lot of learning to do in the area of coding, I often look back and realise how much I have learned about coding. The course also provides mentoring services for its students, as well us prepare you for your job search.
If you are a self learner, this is the course for you.
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GIULIA Verified via LinkedIn
Professional Certificate in Coding: Full stack development with MERN
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This course is highly professional. I like about having quizzes and guided exercises to work on throughout each module. Professors explain in a practical way, working also on practical examples/exercises. I find also the support/facilitators system working perfectly and giving full and quick support to all students whenever it's needed. Plus, there's plently of office hours videos, where learning facilitators take you through some exercises and some particular coding situatrions/cases. -
Varsha Khare Verified via LinkedIn
Full Stack program with MERN
When I was planning to join this boot camp, i was littile hesitant since I had a very littile Expierence in coding but faculty, office hours and course material definitely made it easy to learn and grow in this program. I highly recommend this program to with no coding background people too. They teach from basics and slowly everything will stay making sense. -
Brendan Verified via GitHub
Great for Self-Taught Learners!
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In my opinion this course is great for students who work well independently, basically self-taught learners. If you are looking for a lot of one-on-one attention/help, the VIP treatment, holding your hand to help you early on in your learning this probably isn't the course for you. There are no classes really, just recorded video some of which is hit or miss (this is why this course is NOT $30K, because it is mostly recorded video). You get 3 hours of live office hours (which is kind of like a class) a week from one of your learning facilitators (LF) (not an MIT professor...they made the recorded videos). The LFs are developers who are working in the field now which is great! It depends on the each LF how you can interact in the live office hour. Some let you use audio, some only text chat (all on Zoom).
I like the pace of the course. It's not rushed like most bootcamps so you can really dig into subjects and gives you time to catch up. The way material is presented is let's say...different. It took me a little while to figure it out but what the course likes to do is give you a preview of what we are going to learn BUT they don't really say it's a preview. So it's easy to freak out but DO NOT FREAK OUT! Especially the FIRST WEEK. They threw a ton of JavaScript at us on the official week 1 (the first week or two is just setting up your environment and learning your way around the terminal.) One huge tip I can give is don't freak out when you get to week 1 because everything they throw at you they will go over in the subsequent weeks (and you have to definitely do some outside study/practice). Because this course is 32-weeks you have tons of time to study/catch up but you definitely have to put in the work. Just like anything in life, you get what you put into it.
The LFs are great and if you reach out to them they will get back to you but don't expect on-demand answers. The fastest answers are Google of course but also your cohorts. One of your cohorts will probably create a Slack or Discord server where everyone can help each other out. If no one does, take the initiative and create one because the course does NOT have an official Slack channel like most bootcamps. This course uses Canvas which is just a website email...so that can be very slow. Tech support I believe is with Emeritus in Singapore so it can take 12 hours to get a tech issue reply (like if you are having trouble submitting an assignment.)
Overall I think this course is great bang for the buck but if you want 40+ hours of live class you are going to have to look elsewhere and shell out some serious cash. If I was going to pay $20K to $30K I would want my class IN-PERSON because I would get a lot more out of it and it would be easier to form relationships with staff and cohorts.
One huge piece of advice is that I think no course can teach you everything. Do not expect that. You have to do a lot of things to learn this material. Read docs, watch YouTube videos (a little, don't go crazy with it), read articles but above all else...practice, practice, practice! BUILD PROJECTS! Don't just copy other peoples projects. MAKE YOUR OWN PROJECTS! Or improve the projects you coded along with. My mistakes, struggle...that's how you learn. -
Morgan M Verified via GitHub
Flexible, Affordable and Comprehensive
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This course has been a game-changer for me. I've been curious about coding and after doing lessons on Khan Academy, I decided to take the plunge into a boot camp program. I looked at quite a few different options, but this one stood out to me for a few reasons.
First, the schedule is flexible enough to manage with an unusual work hours. You work at your own pace with new content each week, and the QA board and office hours allow you to ask questions and get feedback. Second, the cost was surprisingly affordable compared to my local universities, and payment plans are also offered. Lastly, MIT is a big name in STEM schools, and it shows in the curriculum. If you want a school that's got some weight behind it and aren't afraid of a challenge, this program is a good choice for you.
I've learned a tremendous amount about JavaScript, HTML, CSS and we are now covering React. I came into this program very green and it hasn't been easy, but the knowledge and skills I've gained are priceless.
For those who are interested, I would highly suggest reviewing the core concepts prior to enrollment because it can be overwhelming and some concepts are very abstract if you don't have a background in it. But overall, I believe this course can provide the necessary skills to thrive in a development environment.
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Sonal Patane
Applied AI and Data Science Program by MIT
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This was an exceptional course and an outstanding learning experience. The Applied AI and Data Science Program by MIT, delivered by Great Learning, was thoughtfully designed, with content that was current, relevant, and presented in a clear and accessible way.One of the program’s greatest strengths is that you truly get as much out of it as you put in. Having continued access to the course materials for three years is also incredibly valuable, allowing learners to revisit topics and dive deeper into areas they may not have had the opportunity to explore fully during the program.The curriculum provides a strong foundation for those starting with the fundamentals while offering enough depth to progress into more advanced concepts. The hands-on projects were particularly valuable in translating theory into practical application and reinforcing key concepts. The weekly quizzes and projects also added significant value by providing consistent opportunities to apply and strengthen what we learned throughout the program.I would also like to recognize Ritin and the Program Office for their exceptional support. Their consistent follow-up, positive energy, and willingness to go above and beyond were greatly appreciated and made the overall learning experience even better.I highly recommend this program to anyone looking to build practical expertise in applied AI and data science. It is a high-quality, rigorous, and rewarding program that successfully combines strong academic content with hands-on application. The continued access to learning materials and the excellent support provided throughout the journey make the experience even more valuable. -
Lydia Angélica Arredondo Franco
MIT's Applied AI and Data Science program was exactly what I needed..
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MIT's Applied AI and Data Science program was exactly what I needed. I am a medical doctor working in the pharmaceutical industry, with prior academic training in data science. The program helped me refresh my data science skills and gave me hands-on experience applying them across different fields, including healthcare. I am now ready to start building a portfolio of personal projects, with the goal of working either as a full-time data scientist at a pharmaceutical company or as a consultant for several of them. -
Mike Portworsnick
From statistics to deterministic AI agents – worth every hour
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As CEO of Change Factory AG, I wanted to understand AI well enough to build real solutions with it – without a data science background. MIT's No Code and Agentic AI program delivered exactly that. The statistics deep dive covers just as much as you need to understand how AI works, and it's accessible for non-statisticians. From there, the course moves to hands-on work with KNIME and n8n. I learned how to prepare and process data with AI agents for maximum value at minimal cost, and how to make AI-generated results deterministic. The mentor sessions were pure gold. Today I apply this directly when extending our own software products with AI capabilities. Highly recommended. -
Dean Morgan
Great Eperience
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My experience with the MIT AI & Data Analytics program, delivered in collaboration with Great Learning, has been truly rewarding, enriching, and transformative. The program provided an excellent opportunity to deepen my understanding of Artificial Intelligence, Machine Learning, and Data Analytics through a well-structured curriculum that effectively combined theoretical knowledge with practical, real-world applications.The course content was comprehensive, engaging, and challenging, with hands-on projects and case studies that strengthened my analytical and problem-solving skills. The instructors and mentors demonstrated exceptional knowledge and provided valuable insights that made complex concepts easier to understand and apply.I would especially like to express my sincere appreciation to Karandeep, my Program Manager, whose exceptional dedication, compassion, and unwavering support played a significant role in helping me successfully complete this program.As a full-time employee, balancing the demands of my professional responsibilities with the rigorous academic requirements of the program was sometimes challenging. There were occasions when meeting assignment deadlines became difficult due to work commitments and other unforeseen circumstances. Karandeep understood these challenges and consistently worked with me to ensure that I stayed on track. Through WhatsApp messages, emails, and phone calls, he regularly followed up, reminded me of upcoming deadlines, and provided the guidance and encouragement I needed to complete my assignments.What truly stood out to me was the compassion and understanding demonstrated by both Great Learning and Karandeep when I fell ill and was unable to submit my assignments on time. Rather than allowing me to fall behind or become discouraged, Karandeep made extraordinary efforts to reach me. He used every available communication channel, including WhatsApp, emails, and phone calls, over several days to check on my well-being, understand my circumstances, and help me find a way forward.His persistence was never simply about meeting deadlines; it reflected a genuine commitment to my success. He understood the challenges I was facing, worked with me to complete my outstanding assignments, and provided the motivation and reassurance I needed to keep going. His encouragement made a tremendous difference during a difficult period and ultimately helped me get across the finish line.Great Learning demonstrated that it is more than just an educational platform; it is an organization that genuinely cares about the well-being, personal circumstances, and success of its learners. The compassion, flexibility, and individualized support I received reinforced my confidence in the program and made my learning experience even more meaningful.Overall, I am extremely grateful for the knowledge, practical skills, and confidence I gained from this program. I highly recommend the MIT AI & Data Analytics program through Great Learning to working professionals seeking to advance their expertise in artificial intelligence and data analytics while balancing their careers and personal responsibilities.My heartfelt thanks to MIT, Great Learning, the instructors, and especially Karandeep for an exceptional learning experience.Karandeep, thank you for going above and beyond, for believing in my ability to succeed, and for providing the encouragement and support I needed to cross the finish line. Your dedication made a lasting difference in my educational journey, and I am truly grateful. -
Diana Tarfulea
MIT - Applied AI and Data Science Program
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I came into MIT's Applied AI and Data Science Program already leading engineering for an Agentic AI product, so I wasn't looking for an introduction to the field — I was looking for rigor . The program delivered that. The elective project forced me to get precise about tradeoffs I'd normally wave through in a roadmap conversation, and the capstone — a real-time retail feedback intelligence system using generative AI and an LLM-as-Judge evaluation framework — was one of the most fun and interesting things I've built in the past weeks.
What stood out most was translating that work for a business audience rather than a technical one. Building the final presentation forced a discipline I now bring back to my own team: never state a metric without answering "so what."
If you're a working leader wondering whether you have the bandwidth for something like this: it's demanding, but it’s worth the investment. I would do it again
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Libby Wu
Applied AI and Data Science Program
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MIT & Great Learning's Applied AI and Data Science Program was a fantastic learning experience for me. Spanning from March to July 2026, the program has a personalized timeline that fits my full-time student schedule. The course website setup is also very clear and effective. The lectures are informative, the projects are hands-on and fun, and the instructors are responsive. I came out of the program with a lot stronger technical understanding and foundation in coding, Generative AI, Machine Learning, LLM, and data science. -
Deepa Francis
Great learning experience
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I had a wonderful experience with the MIT Professional Education No Code AI and Machine Learning Program, delivered in collaboration with Great Learning.
The program is well structured and makes AI and machine learning concepts accessible, even for learners who do not have a traditional programming background. The curriculum is practical, engaging, and relevant to today’s rapidly evolving AI landscape.
One of the highlights of the program was the outstanding support from the staff. They were responsive, encouraging, and always willing to help whenever questions came up. The instructors delivered high-quality sessions with clear explanations and real-world examples that made the learning experience enjoyable.
I also appreciated the excellent online learning platform and course materials. The content was organized, easy to follow, and available whenever I needed to review concepts at my own pace.
Overall, I found this program to be an excellent learning experience. I would recommend it to anyone looking to build a strong foundation in AI and machine learning through a no-code approach. Thank you to both MIT Professional Education and Great Learning for delivering such a valuable and well-supported program. -
Sagarika paul
My Learning Experience with Great Learning
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I enrolled in the program to broaden my understanding of business analysis, analytics, and digital transformation in the banking domain. Coming from over 11 years of banking experience, I wanted to complement my domain expertise with structured approaches to problem-solving and technology-enabled process improvement.The program provided practical exposure to business analysis concepts, data analytics, automation, and AI applications. It encouraged me to think beyond day-to-day operations and approach business challenges from a solution-oriented perspective.The learning experience has strengthened my confidence in exploring opportunities in banking consulting, business analysis, operational risk, and digital transformation. I especially appreciated the practical orientation of the curriculum and the guidance provided by the mentors throughout the program.Thank you once again to the entire Great Learning team for the valuable learning experience. I wish you continued success in helping professionals build future-ready skills.Warm regards,Sagarika Paul -
Hessa AlObaid
MIT Applied Data Science Program
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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Jessica Umanzor
This was an amazing journey!
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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. -
Prabhath
Practical and Insightful No-Code AI Learning Experience
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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 -
Ram Prakash Bakthinarayanan
An Excellent Launchpad with Outstanding Support!
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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. -
Matt Hutchinson
MIT No-Code AI program review
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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. -
Amy Gladwin
Challenging, but highly rewarding program. I am so proud of completing it
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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. -
HK Jun
MIT AI & Data Science
Amazing courses that provide deep understanding of the AI and data science using many real life examples. Courses are full of codes and relations to the case studies that are easy to follow. Amazing program for all levels of professionals. -
Dipesh Gautam
Great Course - Fun Learning Journey
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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. -
Eduardo Núñez
Great experience!
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! -
Maithili Shinde
Great course for professional Applied AI skills!
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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!
